https://korshunov.ai/en/article/11423-reddit-user-questions-hardware-efficiency-running-qwen3-6-27b-with-llama-cpp/korshunov.aien2026-07-11T17:54:56.109447+00:00Reddit user questions hardware efficiency running Qwen3.6 27B with llama.cpp https://korshunov.ai/ru/article/11423-polzovatel-reddit-zadaetsia-voprosom-ob-effektivnosti-oborudovaniia-pri-zapuske/korshunov.airu2026-07-11T17:54:56.109447+00:00Пользователь Reddit задаётся вопросом об эффективности оборудования при запуске Qwen3.6-27B с llama.cpp https://korshunov.ai/es/article/11423-usuario-de-reddit-cuestiona-la-eficiencia-del-hardware-al-ejecutar-qwen3-6-27b/korshunov.aies2026-07-11T17:54:56.109447+00:00Usuario de Reddit cuestiona la eficiencia del hardware al ejecutar Qwen3.6-27B con llama.cpp https://korshunov.ai/zh-hans/article/11423-reddityong-hu-xun-wen-shi-yong-llama-cppyun-xing-qwen3-6-27bshi-de-ying-jian-lu/korshunov.aizh-cn2026-07-11T17:54:56.109447+00:00Reddit用户询问使用llama.cpp运行Qwen3.6-27B时的硬件效率 https://korshunov.ai/pt-br/article/11423-usuario-do-reddit-questiona-a-eficiencia-de-hardware-ao-executar-qwen3-6-27b-com/korshunov.aipt2026-07-11T17:54:56.109447+00:00Usuário do Reddit questiona a eficiência de hardware ao executar Qwen3.6-27B com llama.cpp https://korshunov.ai/hi/article/11423-reddit-upyogkrtaa-llama-cpp-ke-saath-qwen3-6-27b-claate-smy-haarddveyr-dksstaa/korshunov.aihi2026-07-11T17:54:56.109447+00:00Reddit उपयोगकर्ता llama.cpp के साथ Qwen3.6-27B चलाते समय हार्डवेयर दक्षता के बारे में प्रश्न पूछता है https://korshunov.ai/ja/article/11423-reddityu-sa-kallama-cppteqwen3-6-27bwoshi-xing-suruji-noha-toueaxiao-lu-wen/korshunov.aija2026-07-11T17:54:56.109447+00:00Redditユーザーがllama.cppでQwen3.6-27Bを実行する際のハードウェア効率について質問 https://korshunov.ai/ko/article/11423-reddit-sayongjaga-llama-cppro-qwen3-6-27b-silhaeng-si-hadeuweeo-hyoyulseonge/korshunov.aiko2026-07-11T17:54:56.109447+00:00Reddit 사용자가 llama.cpp로 Qwen3.6-27B 실행 시 하드웨어 효율성에 대해 질문 https://korshunov.ai/fr/article/11423-un-utilisateur-de-reddit-s-interroge-sur-l-efficacite-materielle-lors-de-l-de-6/korshunov.aifr2026-07-11T17:54:56.109447+00:00Un utilisateur de Reddit s'interroge sur l'efficacité matérielle lors de l'exécution de Qwen3.6-27B avec llama.cpp https://korshunov.ai/id/article/11423-pengguna-reddit-mempertanyakan-efisiensi-perangkat-keras-saat-menjalankan-qwen3/korshunov.aiid2026-07-11T17:54:56.109447+00:00Pengguna Reddit mempertanyakan efisiensi perangkat keras saat menjalankan Qwen3.6-27B dengan llama.cpp https://korshunov.ai/ar/article/11423-mstkhdm-rdyt-ytsl-n-kf-ljhz-nd-tshgyl-qwen3-6-27b-bstkhdm-llama-cpp/korshunov.aiar2026-07-11T17:54:56.109447+00:00مستخدم رديت يتساءل عن كفاءة الأجهزة عند تشغيل Qwen3.6-27B باستخدام llama.cpp https://korshunov.ai/en/article/11422-alphaavatar-v0-6-4-introduces-shared-perception-and-online-env-memory/korshunov.aien2026-07-11T17:43:51.501462+00:00AlphaAvatar v0.6.4 introduces shared perception and online ENV memory https://korshunov.ai/ko/article/11422-alphaavatar-v0-6-4ga-gongyu-jigag-mic-onrain-env-memori-doib/korshunov.aiko2026-07-11T17:43:51.501462+00:00AlphaAvatar v0.6.4가 공유 지각 및 온라인 ENV 메모리 도입 https://korshunov.ai/fr/article/11422-alphaavatar-v0-6-4-introduit-la-perception-partagee-et-la-memoire-env-en-ligne/korshunov.aifr2026-07-11T17:43:51.501462+00:00AlphaAvatar v0.6.4 introduit la perception partagée et la mémoire ENV en ligne https://korshunov.ai/id/article/11422-alphaavatar-v0-6-4-memperkenalkan-persepsi-bersama-dan-memori-env-online/korshunov.aiid2026-07-11T17:43:51.501462+00:00AlphaAvatar v0.6.4 memperkenalkan persepsi bersama dan memori ENV online https://korshunov.ai/ar/article/11422-alphaavatar-v0-6-4-yqdm-ldrk-lmshtrk-wldhkr-lbyyy-br-lntrnt/korshunov.aiar2026-07-11T17:43:51.501462+00:00AlphaAvatar v0.6.4 يقدم الإدراك المشترك والذاكرة البيئية عبر الإنترنت https://korshunov.ai/ru/article/11422-alphaavatar-v0-6-4-vvodit-obshchee-vospriiatie-i-onlain-env-pamiat/korshunov.airu2026-07-11T17:43:51.501462+00:00AlphaAvatar v0.6.4 вводит общее восприятие и онлайн ENV память https://korshunov.ai/es/article/11422-alphaavatar-v0-6-4-introduce-percepcion-compartida-y-memoria-env-en-linea/korshunov.aies2026-07-11T17:43:51.501462+00:00AlphaAvatar v0.6.4 introduce percepción compartida y memoria ENV en línea https://korshunov.ai/zh-hans/article/11422-alphaavatar-v0-6-4-yin-ru-gong-xiang-gan-zhi-he-zai-xian-env-nei-cun/korshunov.aizh-cn2026-07-11T17:43:51.501462+00:00AlphaAvatar v0.6.4 引入共享感知和在线 ENV 内存 https://korshunov.ai/pt-br/article/11422-alphaavatar-v0-6-4-introduz-percepcao-compartilhada-e-memoria-env-online/korshunov.aipt2026-07-11T17:43:51.501462+00:00AlphaAvatar v0.6.4 introduz percepção compartilhada e memória ENV online https://korshunov.ai/hi/article/11422-alphaavatar-v0-6-4-saajhaa-pridrshy-aur-onnlaain-env-memorii-pesh-krtaa-hai/korshunov.aihi2026-07-11T17:43:51.501462+00:00AlphaAvatar v0.6.4 साझा परिदृश्य और ऑनलाइन ENV मेमोरी पेश करता है https://korshunov.ai/ja/article/11422-alphaavatar-v0-6-4kagong-you-zhi-jue-toonrainenvmemoriwodao-ru/korshunov.aija2026-07-11T17:43:51.501462+00:00AlphaAvatar v0.6.4が共有知覚とオンラインENVメモリを導入 https://korshunov.ai/ko/article/11123-pex8749-seuwiciro-mi50-6gae-yeongyeol-si-seongneung-jeoha-geoyi-eobseum/korshunov.aiko2026-07-11T15:06:17.686688+00:00PEX8749 스위치로 MI50 6개 연결 시 성능 저하 거의 없음 https://korshunov.ai/fr/article/11123-le-commutateur-pex8749-permet-de-connecter-6-mi50-avec-une-perte-de-performance/korshunov.aifr2026-07-11T15:06:17.686688+00:00Le commutateur PEX8749 permet de connecter 6 MI50 avec une perte de performance négligeable https://korshunov.ai/id/article/11123-saklar-pex8749-memungkinkan-6-mi50-dengan-kehilangan-performa-yang-dapat/korshunov.aiid2026-07-11T15:06:17.686688+00:00Saklar PEX8749 memungkinkan 6 MI50 dengan kehilangan performa yang dapat diabaikan https://korshunov.ai/en/article/11123-pex8749-switch-allows-6-mi50s-with-negligible-performance-loss/korshunov.aien2026-07-11T15:06:17.686688+00:00PEX8749 switch allows 6 MI50s with negligible performance loss https://korshunov.ai/ru/article/11123-kommutator-pex8749-pozvoliaet-podkliuchit-6-mi50-s-prenebrezhimo-maloi-poterei/korshunov.airu2026-07-11T15:06:17.686688+00:00Коммутатор PEX8749 позволяет подключить 6 MI50 с пренебрежимо малой потерей производительности https://korshunov.ai/es/article/11123-el-conmutador-pex8749-permite-6-mi50-con-perdida-de-rendimiento-despreciable/korshunov.aies2026-07-11T15:06:17.686688+00:00El conmutador PEX8749 permite 6 MI50 con pérdida de rendimiento despreciable https://korshunov.ai/zh-hans/article/11123-pex8749-jiao-huan-ji-yun-xu-lian-jie-6-kuai-mi50-xing-neng-sun-shi-ke-hu-lue-bu/korshunov.aizh-cn2026-07-11T15:06:17.686688+00:00PEX8749 交换机允许连接 6 块 MI50，性能损失可忽略不计 https://korshunov.ai/pt-br/article/11123-switch-pex8749-permite-6-mi50-com-perda-de-desempenho-desprezivel/korshunov.aipt2026-07-11T15:06:17.686688+00:00Switch PEX8749 permite 6 MI50 com perda de desempenho desprezível https://korshunov.ai/hi/article/11123-pex8749-svic-6-mi50-ko-ngnny-prdrshn-haani-ke-saath-anumti-detaa-hai/korshunov.aihi2026-07-11T15:06:17.686688+00:00PEX8749 स्विच 6 MI50 को नगण्य प्रदर्शन हानि के साथ अनुमति देता है https://korshunov.ai/ja/article/11123-pex8749suitsuchiniyorimi50wo6tai-jie-sok-shitemohahuo-mansudi-xia-hahohonashi/korshunov.aija2026-07-11T15:06:17.686688+00:00PEX8749スイッチによりMI50を6台接続してもパフォーマンス低下はほぼなし https://korshunov.ai/ar/article/11123-mfth-pex8749-ysmh-brbt-6-whdt-mi50-bkhsr-d-dyyl/korshunov.aiar2026-07-11T15:06:17.686688+00:00مفتاح PEX8749 يسمح بربط 6 وحدات MI50 بخسارة أداء ضئيلة https://korshunov.ai/en/article/11121-reddit-user-questions-criticism-of-moe-models-like-qwen-3-5/korshunov.aien2026-07-11T14:36:34.089948+00:00Reddit user questions criticism of MoE models like Qwen 3.5 https://korshunov.ai/ko/article/11121-qwen-3-5wa-gateun-moe-modele-daehan-bipaneul-redis-sayongjaga-yimunsi/korshunov.aiko2026-07-11T14:36:34.089948+00:00Qwen 3.5와 같은 MoE 모델에 대한 비판을 레딧 사용자가 의문시 https://korshunov.ai/fr/article/11121-un-utilisateur-de-reddit-remet-en-question-la-critique-des-modeles-moe-comme-3-5/korshunov.aifr2026-07-11T14:36:34.089948+00:00Un utilisateur de Reddit remet en question la critique des modèles MoE comme Qwen 3.5 https://korshunov.ai/id/article/11121-pengguna-reddit-mempertanyakan-kritik-terhadap-model-moe-seperti-qwen-3-5/korshunov.aiid2026-07-11T14:36:34.089948+00:00Pengguna Reddit mempertanyakan kritik terhadap model MoE seperti Qwen 3.5 https://korshunov.ai/ar/article/11121-mstkhdm-rdyt-ytsl-n-ntqdt-nmdhj-moe-mthl-qwen-3-5/korshunov.aiar2026-07-11T14:36:34.089948+00:00مستخدم رديت يتساءل عن انتقادات نماذج MoE مثل Qwen 3.5 https://korshunov.ai/ru/article/11121-polzovatel-reddit-stavit-pod-somnenie-kritiku-modelei-moe-takikh-kak-qwen-3-5/korshunov.airu2026-07-11T14:36:34.089948+00:00Пользователь Reddit ставит под сомнение критику моделей MoE, таких как Qwen 3.5 https://korshunov.ai/es/article/11121-usuario-de-reddit-cuestiona-la-critica-a-los-modelos-moe-como-qwen-3-5/korshunov.aies2026-07-11T14:36:34.089948+00:00Usuario de Reddit cuestiona la crítica a los modelos MoE como Qwen 3.5 https://korshunov.ai/zh-hans/article/11121-reddityong-hu-zhi-yi-dui-qwen-3-5deng-moemo-xing-de-pi-ping/korshunov.aizh-cn2026-07-11T14:36:34.089948+00:00Reddit用户质疑对Qwen 3.5等MoE模型的批评 https://korshunov.ai/pt-br/article/11121-usuario-do-reddit-questiona-criticas-a-modelos-moe-como-o-qwen-3-5/korshunov.aipt2026-07-11T14:36:34.089948+00:00Usuário do Reddit questiona críticas a modelos MoE como o Qwen 3.5 https://korshunov.ai/hi/article/11121-redditt-upyogkrtaa-qwen-3-5-jaise-moe-monddl-kii-aalocnaa-pr-svaal-utthaataa-hai/korshunov.aihi2026-07-11T14:36:34.089948+00:00रेडिट उपयोगकर्ता Qwen 3.5 जैसे MoE मॉडल की आलोचना पर सवाल उठाता है https://korshunov.ai/ja/article/11121-qwen-3-5noyounamoemoteruhenopi-pan-woreddityu-sa-kayi-wen-shi/korshunov.aija2026-07-11T14:36:34.089948+00:00Qwen 3.5のようなMoEモデルへの批判をRedditユーザーが疑問視 https://korshunov.ai/hi/article/11122-5-36m-rikonrdd-tk-sqlite-fts5-pettentt-db-ko-skel-krne-se-prdrshn-ke-sbk-saamne/korshunov.aihi2026-07-11T14:28:21.638121+00:005.36M रिकॉर्ड तक SQLite FTS5 पेटेंट DB को स्केल करने से प्रदर्शन के सबक सामने आए https://korshunov.ai/en/article/11122-scaling-sqlite-fts5-patent-db-to-5-36m-records-reveals-performance-lessons/korshunov.aien2026-07-11T14:28:21.638121+00:00Scaling SQLite FTS5 patent DB to 5.36M records reveals performance lessons https://korshunov.ai/ru/article/11122-masshtabirovanie-patentnoi-bd-sqlite-fts5-do-536-mln-zapisei-vyiavilo-uroki/korshunov.airu2026-07-11T14:28:21.638121+00:00Масштабирование патентной БД SQLite FTS5 до 5,36 млн записей выявило уроки производительности https://korshunov.ai/es/article/11122-escalar-la-base-de-datos-de-patentes-sqlite-fts5-a-536m-registros-revela-de/korshunov.aies2026-07-11T14:28:21.638121+00:00Escalar la base de datos de patentes SQLite FTS5 a 5,36M registros revela lecciones de rendimiento https://korshunov.ai/zh-hans/article/11122-jiang-sqlite-fts5-zhuan-li-shu-ju-ku-kuo-zhan-zhi-536-mo-tiao-ji-lu-jie-shi-liao/korshunov.aizh-cn2026-07-11T14:28:21.638121+00:00将 SQLite FTS5 专利数据库扩展至 536 万条记录揭示了性能经验教训 https://korshunov.ai/pt-br/article/11122-escalar-o-db-de-patentes-sqlite-fts5-para-536m-registros-revela-licoes-de/korshunov.aipt2026-07-11T14:28:21.638121+00:00Escalar o DB de patentes SQLite FTS5 para 5,36M registros revela lições de desempenho https://korshunov.ai/ja/article/11122-sqlite-fts5te-xu-dbwo536mo-jian-nisuke-rinkushitajie-guo-hahuo-mansunojiao-xun/korshunov.aija2026-07-11T14:28:21.638121+00:00SQLite FTS5特許DBを536万件にスケーリングした結果、パフォーマンスの教訓が明らかになる https://korshunov.ai/ko/article/11122-sqlite-fts5-teugheo-dbreul-536man-geoneuro-hwagjanghamyeo-deureonan-seongneung/korshunov.aiko2026-07-11T14:28:21.638121+00:00SQLite FTS5 특허 DB를 536만 건으로 확장하며 드러난 성능 교훈 https://korshunov.ai/fr/article/11122-le-passage-a-536-millions-d-enregistrements-de-la-base-de-donnees-de-brevets-des/korshunov.aifr2026-07-11T14:28:21.638121+00:00Le passage à 5,36 millions d'enregistrements de la base de données de brevets SQLite FTS5 révèle des leçons de performance https://korshunov.ai/id/article/11122-skala-db-paten-sqlite-fts5-hingga-536-juta-catatan-mengungkap-pelajaran-kinerja/korshunov.aiid2026-07-11T14:28:21.638121+00:00Skala DB paten SQLite FTS5 hingga 5,36 juta catatan mengungkap pelajaran kinerja https://korshunov.ai/ar/article/11122-twsy-q-d-bynt-brt-lkhtr-sqlite-fts5-l-5-36-mlywn-sjl-ykshf-n-drws-ld/korshunov.aiar2026-07-11T14:28:21.638121+00:00توسيع قاعدة بيانات براءات الاختراع SQLite FTS5 إلى 5.36 مليون سجل يكشف عن دروس الأداء https://korshunov.ai/ko/article/11118-grok-build-cli-v0-2-93i-jeonce-git-iryeog-mic-env-bimileul-xaie-eobrodeu/korshunov.aiko2026-07-11T13:50:12.967041+00:00Grok Build CLI v0.2.93이 전체 git 이력 및 .env 비밀을 xAI에 업로드 https://korshunov.ai/en/article/11118-grok-build-cli-v0-2-93-uploads-full-git-history-and-env-secrets-to-xai/korshunov.aien2026-07-11T13:50:12.967041+00:00Grok Build CLI v0.2.93 uploads full git history and .env secrets to xAI https://korshunov.ai/ru/article/11118-grok-build-cli-v0-2-93-zagruzhaet-polnuiu-istoriiu-git-i-sekrety-env-v-xai/korshunov.airu2026-07-11T13:50:12.967041+00:00Grok Build CLI v0.2.93 загружает полную историю git и секреты .env в xAI https://korshunov.ai/es/article/11118-grok-build-cli-v0-2-93-sube-el-historial-completo-de-git-y-secretos-env-a-xai/korshunov.aies2026-07-11T13:50:12.967041+00:00Grok Build CLI v0.2.93 sube el historial completo de git y secretos .env a xAI https://korshunov.ai/zh-hans/article/11118-grok-build-cli-v0-2-93-jiang-wan-zheng-de-git-li-shi-ji-lu-he-env-mi-yao-shang/korshunov.aizh-cn2026-07-11T13:50:12.967041+00:00Grok Build CLI v0.2.93 将完整的 git 历史记录和 .env 密钥上传至 xAI https://korshunov.ai/pt-br/article/11118-grok-build-cli-v0-2-93-envia-o-historico-completo-do-git-e-segredos-env-para-a/korshunov.aipt2026-07-11T13:50:12.967041+00:00Grok Build CLI v0.2.93 envia o histórico completo do git e segredos .env para a xAI https://korshunov.ai/hi/article/11118-grok-build-cli-v0-2-93-puuraa-git-itihaas-aur-env-siikretts-ko-xai-pr-aplodd-hai/korshunov.aihi2026-07-11T13:50:12.967041+00:00Grok Build CLI v0.2.93 पूरा git इतिहास और .env सीक्रेट्स को xAI पर अपलोड करता है https://korshunov.ai/ja/article/11118-grok-build-cli-v0-2-93-kahuru-git-lu-li-to-env-shi-kuretsutowo-xai-niatsuhuro-to/korshunov.aija2026-07-11T13:50:12.967041+00:00Grok Build CLI v0.2.93 がフル git 履歴と .env シークレットを xAI にアップロード https://korshunov.ai/fr/article/11118-grok-build-cli-v0-2-93-telecharge-l-historique-git-complet-et-les-secrets-env/korshunov.aifr2026-07-11T13:50:12.967041+00:00Grok Build CLI v0.2.93 télécharge l'historique git complet et les secrets .env vers xAI https://korshunov.ai/id/article/11118-grok-build-cli-v0-2-93-mengunggah-riwayat-git-penuh-dan-rahasia-env-ke-xai/korshunov.aiid2026-07-11T13:50:12.967041+00:00Grok Build CLI v0.2.93 mengunggah riwayat git penuh dan rahasia .env ke xAI https://korshunov.ai/ar/article/11118-tqwm-grok-build-cli-v0-2-93-brf-trykh-git-lkml-wmlft-env-lsry-l-xai/korshunov.aiar2026-07-11T13:50:12.967041+00:00تقوم Grok Build CLI v0.2.93 برفع تاريخ git الكامل وملفات .env السرية إلى xAI https://korshunov.ai/en/article/11120-everfern-open-source-local-desktop-agent-for-computer-use-and-browser-control/korshunov.aien2026-07-11T13:26:43.051977+00:00EverFern: open-source local desktop agent for computer use and browser control https://korshunov.ai/ru/article/11120-everfern-agent-dlia-lokalnogo-rabochego-stola-s-otkrytym-iskhodnym-kodom-dlia-i/korshunov.airu2026-07-11T13:26:43.051977+00:00EverFern: агент для локального рабочего стола с открытым исходным кодом для управления компьютером и браузером https://korshunov.ai/es/article/11120-everfern-agente-de-escritorio-local-de-codigo-abierto-para-uso-del-ordenador-y/korshunov.aies2026-07-11T13:26:43.051977+00:00EverFern: agente de escritorio local de código abierto para uso del ordenador y control del navegador https://korshunov.ai/zh-hans/article/11120-everfern-yong-yu-ji-suan-ji-shi-yong-he-liu-lan-qi-kong-zhi-de-kai-yuan-ben-di/korshunov.aizh-cn2026-07-11T13:26:43.051977+00:00EverFern：用于计算机使用和浏览器控制的开源本地桌面代理 https://korshunov.ai/pt-br/article/11120-everfern-agente-de-desktop-local-de-codigo-aberto-para-uso-do-computador-e-do/korshunov.aipt2026-07-11T13:26:43.051977+00:00EverFern: agente de desktop local de código aberto para uso do computador e controle do navegador https://korshunov.ai/hi/article/11120-everfern-knpyuuttr-upyog-aur-braaujr-niyntrnn-ke-lie-opn-sors-lokl-ddeskttonp/korshunov.aihi2026-07-11T13:26:43.051977+00:00EverFern: कंप्यूटर उपयोग और ब्राउज़र नियंत्रण के लिए ओपन-सोर्स लोकल डेस्कटॉप एजेंट https://korshunov.ai/ja/article/11120-everfern-konhiyu-tacao-zuo-tohurausazhi-yu-notamenoo-hunso-suro-shiento/korshunov.aija2026-07-11T13:26:43.051977+00:00EverFern: コンピュータ操作とブラウザ制御のためのオープンソースローカルデスクトップエージェント https://korshunov.ai/ko/article/11120-everfern-keompyuteo-sayong-mic-beuraujeo-jeeoreul-wihan-opeunsoseu-rokeol/korshunov.aiko2026-07-11T13:26:43.051977+00:00EverFern: 컴퓨터 사용 및 브라우저 제어를 위한 오픈소스 로컬 데스크톱 에이전트 https://korshunov.ai/fr/article/11120-everfern-agent-de-bureau-local-open-source-pour-l-utilisation-de-l-ordinateur-et/korshunov.aifr2026-07-11T13:26:43.051977+00:00EverFern : agent de bureau local open-source pour l'utilisation de l'ordinateur et le contrôle du navigateur https://korshunov.ai/id/article/11120-everfern-agen-desktop-lokal-open-source-untuk-penggunaan-komputer-dan-kontrol/korshunov.aiid2026-07-11T13:26:43.051977+00:00EverFern: agen desktop lokal open-source untuk penggunaan komputer dan kontrol browser https://korshunov.ai/ar/article/11120-everfern-wkyl-sth-mktb-mhly-mftwh-lmsdr-lstkhdm-lkmbywtr-wlthkm-fy-lmtsfh/korshunov.aiar2026-07-11T13:26:43.051977+00:00EverFern: وكيل سطح مكتب محلي مفتوح المصدر لاستخدام الكمبيوتر والتحكم في المتصفح https://korshunov.ai/en/article/11119-amd-epyc-9374f-outperforms-9135-in-llm-inference-with-48-threads/korshunov.aien2026-07-11T13:16:09.635347+00:00AMD EPYC 9374f outperforms 9135 in LLM inference with 48 threads https://korshunov.ai/ru/article/11119-amd-epyc-9374f-prevoskhodit-9135-v-inferense-llm-s-48-potokami/korshunov.airu2026-07-11T13:16:09.635347+00:00AMD EPYC 9374f превосходит 9135 в инференсе LLM с 48 потоками https://korshunov.ai/es/article/11119-amd-epyc-9374f-supera-a-9135-en-inferencia-de-llm-con-48-hilos/korshunov.aies2026-07-11T13:16:09.635347+00:00AMD EPYC 9374f supera a 9135 en inferencia de LLM con 48 hilos https://korshunov.ai/zh-hans/article/11119-amd-epyc-9374f-zai-48-xian-cheng-de-llm-tui-li-zhong-you-yu-9135/korshunov.aizh-cn2026-07-11T13:16:09.635347+00:00AMD EPYC 9374f 在 48 线程的 LLM 推理中优于 9135 https://korshunov.ai/pt-br/article/11119-amd-epyc-9374f-supera-o-9135-na-inferencia-de-llm-com-48-threads/korshunov.aipt2026-07-11T13:16:09.635347+00:00AMD EPYC 9374f supera o 9135 na inferência de LLM com 48 threads https://korshunov.ai/hi/article/11119-amd-epyc-9374f-ne-48-thredds-ke-saath-llm-inphrens-men-9135-ko-pchaadd-diyaa/korshunov.aihi2026-07-11T13:16:09.635347+00:00AMD EPYC 9374f ने 48 थ्रेड्स के साथ LLM इनफरेंस में 9135 को पछाड़ दिया https://korshunov.ai/ja/article/11119-amd-epyc-9374fka48suretsutotellmtui-lun-nioite9135woshang-hui-ru/korshunov.aija2026-07-11T13:16:09.635347+00:00AMD EPYC 9374fが48スレッドでLLM推論において9135を上回る https://korshunov.ai/ko/article/11119-amd-epyc-9374fga-48seuredeuro-llm-curoneseo-9135eul-abdo/korshunov.aiko2026-07-11T13:16:09.635347+00:00AMD EPYC 9374f가 48스레드로 LLM 추론에서 9135을 압도 https://korshunov.ai/fr/article/11119-l-amd-epyc-9374f-surpasse-le-9135-dans-l-inference-llm-avec-48-threads/korshunov.aifr2026-07-11T13:16:09.635347+00:00L'AMD EPYC 9374f surpasse le 9135 dans l'inférence LLM avec 48 threads https://korshunov.ai/id/article/11119-amd-epyc-9374f-mengungguli-9135-dalam-inferensi-llm-dengan-48-utas/korshunov.aiid2026-07-11T13:16:09.635347+00:00AMD EPYC 9374f mengungguli 9135 dalam inferensi LLM dengan 48 utas https://korshunov.ai/ar/article/11119-ytfwq-amd-epyc-9374f-l-9135-fy-stntj-llm-bstkhdm-48-khytan/korshunov.aiar2026-07-11T13:16:09.635347+00:00يتفوق AMD EPYC 9374f على 9135 في استنتاج LLM باستخدام 48 خيطًا https://korshunov.ai/en/article/11015-fedopal-uses-analytic-visual-prompt-tuning-for-one-shot-federated-learning/korshunov.aien2026-07-11T13:02:32.739008+00:00FedOPAL uses analytic visual prompt tuning for one-shot federated learning https://korshunov.ai/ru/article/11015-fedopal-ispolzuet-analiticheskuiu-nastroiku-vizualnykh-promptov-dlia-obucheniia/korshunov.airu2026-07-11T13:02:32.739008+00:00FedOPAL использует аналитическую настройку визуальных промптов для одношагового федеративного обучения https://korshunov.ai/es/article/11015-fedopal-utiliza-ajuste-analitico-de-prompts-visuales-para-aprendizaje-federado/korshunov.aies2026-07-11T13:02:32.739008+00:00FedOPAL utiliza ajuste analítico de prompts visuales para aprendizaje federado de un solo paso https://korshunov.ai/zh-hans/article/11015-fedopal-shi-yong-fen-xi-xing-shi-jue-ti-shi-wei-diao-shi-xian-dan-lun-lian-bang/korshunov.aizh-cn2026-07-11T13:02:32.739008+00:00FedOPAL 使用分析性视觉提示微调实现单轮联邦学习 https://korshunov.ai/pt-br/article/11015-fedopal-utiliza-ajuste-analitico-de-prompts-visuais-para-aprendizado-federado-de/korshunov.aipt2026-07-11T13:02:32.739008+00:00FedOPAL utiliza ajuste analítico de prompts visuais para aprendizado federado de um único passo https://korshunov.ai/hi/article/11015-fedopal-ek-shontt-pheddrettedd-lrning-ke-lie-vishlessnnaatmk-vijual-pronmptt-kaa/korshunov.aihi2026-07-11T13:02:32.739008+00:00FedOPAL एक-शॉट फेडरेटेड लर्निंग के लिए विश्लेषणात्मक विज़ुअल प्रॉम्प्ट ट्यूनिंग का उपयोग करता है https://korshunov.ai/ja/article/11015-fedopalha1shiyotsutolian-he-xue-xi-nijie-xi-de-hishiyuaruhuronhutodiao-zheng/korshunov.aija2026-07-11T13:02:32.739008+00:00FedOPALは1ショット連合学習に解析的ビジュアルプロンプト調整を使用 https://korshunov.ai/ko/article/11015-fedopaleun-weonsyas-yeonseong-hagseubeul-wihae-bunseogjeog-sigag-peurompeuteu/korshunov.aiko2026-07-11T13:02:32.739008+00:00FedOPAL은 원샷 연성 학습을 위해 분석적 시각 프롬프트 튜닝 사용 https://korshunov.ai/fr/article/11015-fedopal-utilise-le-reglage-analytique-de-prompts-visuels-pour-l-apprentissage-en/korshunov.aifr2026-07-11T13:02:32.739008+00:00FedOPAL utilise le réglage analytique de prompts visuels pour l'apprentissage fédéré en un seul tir https://korshunov.ai/id/article/11015-fedopal-menggunakan-penyetelan-prompt-visual-analitik-untuk-pembelajaran-satu/korshunov.aiid2026-07-11T13:02:32.739008+00:00FedOPAL menggunakan penyetelan prompt visual analitik untuk pembelajaran federasi satu-shot https://korshunov.ai/ar/article/11015-ystkhdm-fedopal-dbt-lmtlbt-lbsry-lthlyly-llt-lm-lmwhd-hdy-ltlq/korshunov.aiar2026-07-11T13:02:32.739008+00:00يستخدم FedOPAL ضبط المطالبات البصرية التحليلي للتعلم الموحد أحادي الطلقة https://korshunov.ai/en/article/10912-tubular-neighbourhoods-of-pfaffian-sets-and-applications-to-neural-networks/korshunov.aien2026-07-11T12:52:35.357023+00:00Tubular Neighbourhoods of Pfaffian Sets and Applications to Neural Networks https://korshunov.ai/ko/article/10912-pfaffian-jibhabyi-gwansang-geunbanggwa-singyeongmangeyi-eungyong/korshunov.aiko2026-07-11T12:52:35.357023+00:00Pfaffian 집합의 관상 근방과 신경망에의 응용 https://korshunov.ai/ru/article/10912-trubchatye-okrestnosti-mnozhestv-pfaffera-i-prilozheniia-k-neironnym-setiam/korshunov.airu2026-07-11T12:52:35.357023+00:00Трубчатые окрестности множеств Пфаффера и приложения к нейронным сетям https://korshunov.ai/es/article/10912-vecindades-tubulares-de-conjuntos-de-pfaffian-y-aplicaciones-a-redes-neuronales/korshunov.aies2026-07-11T12:52:35.357023+00:00Vecindades tubulares de conjuntos de Pfaffian y aplicaciones a redes neuronales https://korshunov.ai/zh-hans/article/10912-pfaffianji-de-guan-zhuang-lin-yu-ji-qi-zai-shen-jing-wang-luo-zhong-de-ying-yong/korshunov.aizh-cn2026-07-11T12:52:35.357023+00:00Pfaffian集的管状邻域及其在神经网络中的应用 https://korshunov.ai/pt-br/article/10912-vizinhancas-tubulares-de-conjuntos-pfaffianos-e-aplicacoes-a-redes-neurais/korshunov.aipt2026-07-11T12:52:35.357023+00:00Vizinhanças Tubulares de Conjuntos Pfaffianos e Aplicações a Redes Neurais https://korshunov.ai/hi/article/10912-pfaffian-setts-ke-ttyuublr-pddos-aur-nyuurl-nettvrks-men-anupryog/korshunov.aihi2026-07-11T12:52:35.357023+00:00Pfaffian सेट्स के ट्यूबलर पड़ोस और न्यूरल नेटवर्क्स में अनुप्रयोग https://korshunov.ai/ja/article/10912-huhuahuduo-yang-ti-noguan-zhuang-jin-bang-tosononiyu-rarunetsutowa-kuhenoying/korshunov.aija2026-07-11T12:52:35.357023+00:00プファフ多様体の管状近傍とそのニューラルネットワークへの応用 https://korshunov.ai/fr/article/10912-voisinages-tubulaires-des-ensembles-de-pfaff-et-applications-aux-reseaux-de/korshunov.aifr2026-07-11T12:52:35.357023+00:00Voisinages tubulaires des ensembles de Pfaff et applications aux réseaux de neurones https://korshunov.ai/id/article/10912-lingkungan-tabular-dari-himpunan-pfaffian-dan-aplikasinya-pada-jaringan-saraf/korshunov.aiid2026-07-11T12:52:35.357023+00:00Lingkungan Tabular dari Himpunan Pfaffian dan Aplikasinya pada Jaringan Saraf https://korshunov.ai/ar/article/10912-lhy-lnbwby-lmjmw-t-bfyn-wttbyqth-fy-lshbkt-l-sby/korshunov.aiar2026-07-11T12:52:35.357023+00:00الأحياء الأنبوبية لمجموعات بافيان وتطبيقاتها في الشبكات العصبية https://korshunov.ai/en/article/11014-study-reveals-overlap-gap-trade-off-in-synthetic-asr-training-data/korshunov.aien2026-07-11T12:46:52.613502+00:00Study reveals overlap-gap trade-off in synthetic ASR training data https://korshunov.ai/ru/article/11014-issledovanie-vyiavliaet-kompromiss-mezhdu-perekrytiem-i-pauzoi-v-sinteticheskikh/korshunov.airu2026-07-11T12:46:52.613502+00:00Исследование выявляет компромисс между перекрытием и паузой в синтетических данных для обучения ASR https://korshunov.ai/es/article/11014-un-estudio-revela-la-compensacion-entre-superposicion-y-pausa-en-datos-de-asr/korshunov.aies2026-07-11T12:46:52.613502+00:00Un estudio revela la compensación entre superposición y pausa en datos de entrenamiento ASR sintéticos https://korshunov.ai/zh-hans/article/11014-yan-jiu-jie-shi-he-cheng-asrxun-lian-shu-ju-zhong-zhong-die-yu-jian-ge-de-quan/korshunov.aizh-cn2026-07-11T12:46:52.613502+00:00研究揭示合成ASR训练数据中重叠与间隔的权衡关系 https://korshunov.ai/pt-br/article/11014-estudo-revela-compensacao-entre-sobreposicao-e-intervalo-em-dados-de-treinamento/korshunov.aipt2026-07-11T12:46:52.613502+00:00Estudo revela compensação entre sobreposição e intervalo em dados de treinamento ASR sintéticos https://korshunov.ai/hi/article/11014-adhyyn-se-sinthettik-asr-prshikssnn-ddettaa-men-ovrlaip-gaip-ttreddonph-kaa-ptaa/korshunov.aihi2026-07-11T12:46:52.613502+00:00अध्ययन से सिंथेटिक ASR प्रशिक्षण डेटा में ओवरलैप-गैप ट्रेडऑफ़ का पता चलता है https://korshunov.ai/ja/article/11014-he-cheng-asrxun-lian-te-taniokeruo-ha-ratsuhutokiyatsuhunotore-toohuniguan-jiu/korshunov.aija2026-07-11T12:46:52.613502+00:00合成ASR訓練データにおけるオーバーラップとギャップのトレードオフに関する研究 https://korshunov.ai/ko/article/11014-habseong-asr-hagseub-deiteoeseo-obeoraeb-gaeb-teureideuopeureul-balghin-yeongu/korshunov.aiko2026-07-11T12:46:52.613502+00:00합성 ASR 학습 데이터에서 오버랩-갭 트레이드오프를 밝힌 연구 https://korshunov.ai/fr/article/11014-une-etude-revele-un-compromis-chevauchement-intervalle-dans-les-donnees-d-asr/korshunov.aifr2026-07-11T12:46:52.613502+00:00Une étude révèle un compromis chevauchement-intervalle dans les données d'entraînement ASR synthétiques https://korshunov.ai/id/article/11014-studi-mengungkap-trade-off-tumpang-tindih-jeda-dalam-data-pelatihan-asr-sintetis/korshunov.aiid2026-07-11T12:46:52.613502+00:00Studi mengungkap trade-off tumpang tindih-jeda dalam data pelatihan ASR sintetis https://korshunov.ai/ar/article/11014-drs-tkshf-n-mqyd-ltdkhl-wlfjw-fy-bynt-tdryb-lt-rf-l-lklm-lstn-y/korshunov.aiar2026-07-11T12:46:52.613502+00:00دراسة تكشف عن مقايضة التداخل والفجوة في بيانات تدريب التعرف على الكلام الاصطناعي https://korshunov.ai/id/article/10911-deteksi-anomali-adaptif-mandiri-untuk-kendaraan-terhubung-menggunakan-rl-dan/korshunov.aiid2026-07-11T12:37:38.904711+00:00Deteksi anomali adaptif mandiri untuk kendaraan terhubung menggunakan RL dan umpan balik manusia https://korshunov.ai/en/article/10911-self-adaptive-anomaly-detection-for-connected-vehicles-using-rl-and-human/korshunov.aien2026-07-11T12:37:38.904711+00:00Self-adaptive anomaly detection for connected vehicles using RL and human feedback https://korshunov.ai/ru/article/10911-samonastraivaiushcheesia-obnaruzhenie-anomalii-dlia-podkliuchennykh-sredstv-s-rl/korshunov.airu2026-07-11T12:37:38.904711+00:00Самонастраивающееся обнаружение аномалий для подключенных транспортных средств с использованием RL и обратной связи от человека https://korshunov.ai/es/article/10911-deteccion-de-anomalias-autoadaptativa-para-vehiculos-conectados-usando-rl-y/korshunov.aies2026-07-11T12:37:38.904711+00:00Detección de anomalías autoadaptativa para vehículos conectados usando RL y retroalimentación humana https://korshunov.ai/zh-hans/article/10911-shi-yong-qiang-hua-xue-xi-he-ren-lei-fan-kui-de-wang-lian-che-liang-zi-gua-ying/korshunov.aizh-cn2026-07-11T12:37:38.904711+00:00使用强化学习和人类反馈的网联车辆自适应性异常检测 https://korshunov.ai/pt-br/article/10911-deteccao-de-anomalias-autoadaptativa-para-veiculos-conectados-usando-rl-e-humano/korshunov.aipt2026-07-11T12:37:38.904711+00:00Detecção de anomalias autoadaptativa para veículos conectados usando RL e feedback humano https://korshunov.ai/hi/article/10911-rl-aur-maanviiy-prtikriyaa-kaa-upyog-krke-judde-hue-vaahnon-ke-lie-sv-anukuuln/korshunov.aihi2026-07-11T12:37:38.904711+00:00RL और मानवीय प्रतिक्रिया का उपयोग करके जुड़े हुए वाहनों के लिए स्व-अनुकूलन असाधारणता पहचान https://korshunov.ai/ja/article/10911-qiang-hua-xue-xi-toren-jian-nohui-tohatsukuwoyong-itakonekutetsuto-hi-kurunozi/korshunov.aija2026-07-11T12:37:38.904711+00:00強化学習と人間のフィードバックを用いたコネクテッド・ビークルの自己適応型異常検出 https://korshunov.ai/ko/article/10911-rl-mic-ingan-pideubaegeul-iyonghan-yeongyeoldoen-caryangyi-jagi-jeogeunghyeong/korshunov.aiko2026-07-11T12:37:38.904711+00:00RL 및 인간 피드백을 이용한 연결된 차량의 자기 적응형 이상 감지 https://korshunov.ai/fr/article/10911-detection-d-anomalies-auto-adaptative-pour-les-vehicules-connectes-utilisant-l/korshunov.aifr2026-07-11T12:37:38.904711+00:00Détection d'anomalies auto-adaptative pour les véhicules connectés utilisant l'RL et le feedback humain https://korshunov.ai/ar/article/10911-kshf-lshdhwdh-ltkyfy-ldhty-llmrkbt-lmtsl-bstkhdm-lt-lm-lm-zz-wltgdhy-lrj-lbshry/korshunov.aiar2026-07-11T12:37:38.904711+00:00كشف الشذوذ التكيفي الذاتي للمركبات المتصلة باستخدام التعلم المعزز والتغذية الراجعة البشرية https://korshunov.ai/en/article/11113-u-s-tech-industry-anxious-about-chinese-open-source-ai-models-and-potential/korshunov.aien2026-07-11T12:28:00.590446+00:00U.S. tech industry anxious about Chinese open-source AI models and potential Trump executive order https://korshunov.ai/ru/article/11113-amerikanskaia-tekhnologicheskaia-industriia-obespokoena-kitaiskimi-otkrytymi-ii/korshunov.airu2026-07-11T12:28:00.590446+00:00Американская технологическая индустрия обеспокоена китайскими открытыми ИИ-моделями и потенциальным указом Трампа https://korshunov.ai/es/article/11113-la-industria-tecnologica-de-ee-uu-esta-preocupada-por-los-modelos-de-ia-de-y-el/korshunov.aies2026-07-11T12:28:00.590446+00:00La industria tecnológica de EE. UU. está preocupada por los modelos de IA de código abierto chinos y el posible decreto ejecutivo de Trump https://korshunov.ai/zh-hans/article/11113-mei-guo-ke-ji-xing-ye-dui-zhong-guo-kai-yuan-aimo-xing-ji-qian-zai-te-lang-pu-lu/korshunov.aizh-cn2026-07-11T12:28:00.590446+00:00美国科技行业对中国开源AI模型及潜在特朗普行政令感到焦虑 https://korshunov.ai/ko/article/11113-migug-tekeu-eobgye-junggug-opeunsoseu-ai-modelgwa-teureompeu-haengjeongbu-uryeo/korshunov.aiko2026-07-11T12:28:00.590446+00:00미국 테크 업계, 중국 오픈소스 AI 모델과 트럼프 행정부 명령 가능성에 우려 https://korshunov.ai/pt-br/article/11113-industria-de-tecnologia-dos-eua-esta-ansiosa-com-modelos-de-ia-de-codigo-aberto/korshunov.aipt2026-07-11T12:28:00.590446+00:00Indústria de tecnologia dos EUA está ansiosa com modelos de IA de código aberto chineses e possível ordem executiva de Trump https://korshunov.ai/hi/article/11113-ciinii-opn-sors-ai-monddlon-aur-snbhaavit-ttrnp-kaarykaarii-aadesh-ke-baare-men/korshunov.aihi2026-07-11T12:28:00.590446+00:00चीनी ओपन-सोर्स AI मॉडलों और संभावित ट्रंप कार्यकारी आदेश के बारे में अमेरिकी तकनीकी उद्योग चिंतित https://korshunov.ai/ja/article/11113-mi-guo-notetsukuye-jie-zhong-guo-noo-hunso-suaimoterutotoranhuci-qi-da-tong-ling/korshunov.aija2026-07-11T12:28:00.590446+00:00米国のテック業界、中国のオープンソースAIモデルとトランプ次期大統領の行政命令の可能性に懸念 https://korshunov.ai/fr/article/11113-l-industrie-technologique-americaine-inquiete-face-aux-modeles-d-ia-open-source/korshunov.aifr2026-07-11T12:28:00.590446+00:00L'industrie technologique américaine inquiète face aux modèles d'IA open-source chinois et à un éventuel décret de Trump https://korshunov.ai/id/article/11113-industri-teknologi-as-cemas-tentang-model-ai-open-source-tiongkok-dan-potensi/korshunov.aiid2026-07-11T12:28:00.590446+00:00Industri teknologi AS cemas tentang model AI open-source Tiongkok dan potensi perintah eksekutif Trump https://korshunov.ai/ar/article/11113-sn-ltknwlwjy-lmryky-qlq-bshn-nmdhj-ldhk-lstn-y-mftwh-lmsdr-lsyny-wlmr-ltnfydhy/korshunov.aiar2026-07-11T12:28:00.590446+00:00صناعة التكنولوجيا الأمريكية قلقة بشأن نماذج الذكاء الاصطناعي مفتوحة المصدر الصينية والأمر التنفيذي المحتمل لترامب https://korshunov.ai/en/article/11114-reddit-discussion-on-boko-haram-using-chatgpt-and-claude/korshunov.aien2026-07-11T12:21:18.756927+00:00Reddit discussion on Boko Haram using ChatGPT and Claude https://korshunov.ai/ru/article/11114-obsuzhdenie-na-reddit-o-tom-kak-boko-kharam-ispolzuet-chatgpt-i-claude/korshunov.airu2026-07-11T12:21:18.756927+00:00Обсуждение на Reddit о том, как Боко Харам использует ChatGPT и Claude https://korshunov.ai/es/article/11114-debate-en-reddit-sobre-el-uso-de-chatgpt-y-claude-por-boko-haram/korshunov.aies2026-07-11T12:21:18.756927+00:00Debate en Reddit sobre el uso de ChatGPT y Claude por Boko Haram https://korshunov.ai/zh-hans/article/11114-reddittao-lun-bo-ke-sheng-di-shi-yong-chatgpthe-claude/korshunov.aizh-cn2026-07-11T12:21:18.756927+00:00Reddit讨论博科圣地使用ChatGPT和Claude https://korshunov.ai/pt-br/article/11114-discussao-no-reddit-sobre-o-uso-de-chatgpt-e-claude-pelo-boko-haram/korshunov.aipt2026-07-11T12:21:18.756927+00:00Discussão no Reddit sobre o uso de ChatGPT e Claude pelo Boko Haram https://korshunov.ai/hi/article/11114-boko-hraam-dvaaraa-chatgpt-aur-claude-ke-upyog-pr-redditt-crcaa/korshunov.aihi2026-07-11T12:21:18.756927+00:00बोको हराम द्वारा ChatGPT और Claude के उपयोग पर रेडिट चर्चा https://korshunov.ai/ja/article/11114-hoko-haramukachatgpttoclaudewoshi-yong-surukotoniguan-sururedditnoyi-lun/korshunov.aija2026-07-11T12:21:18.756927+00:00ボコ・ハラムがChatGPTとClaudeを使用することに関するRedditの議論 https://korshunov.ai/ko/article/11114-boko-harami-chatgptwa-claudereul-sayonghaneun-geose-daehan-reddit-toron/korshunov.aiko2026-07-11T12:21:18.756927+00:00보코 하람이 ChatGPT와 Claude를 사용하는 것에 대한 Reddit 토론 https://korshunov.ai/fr/article/11114-discussion-reddit-sur-l-utilisation-de-chatgpt-et-claude-par-boko-haram/korshunov.aifr2026-07-11T12:21:18.756927+00:00Discussion Reddit sur l'utilisation de ChatGPT et Claude par Boko Haram https://korshunov.ai/id/article/11114-diskusi-reddit-tentang-boko-haram-menggunakan-chatgpt-dan-claude/korshunov.aiid2026-07-11T12:21:18.756927+00:00Diskusi Reddit tentang Boko Haram menggunakan ChatGPT dan Claude https://korshunov.ai/ar/article/11114-mnqsh-l-rdyt-hwl-stkhdm-bwkw-hrm-l-chatgpt-w-claude/korshunov.aiar2026-07-11T12:21:18.756927+00:00مناقشة على رديت حول استخدام بوكو حرام لـ ChatGPT و Claude https://korshunov.ai/en/article/11112-llama-cpp-b9964-release-prevents-duplicate-spec-model-downloads/korshunov.aien2026-07-11T12:18:12.175545+00:00llama.cpp b9964 release prevents duplicate spec model downloads https://korshunov.ai/ru/article/11112-vypusk-llama-cpp-b9964-predotvrashchaet-skachivanie-dublikatov-modelei/korshunov.airu2026-07-11T12:18:12.175545+00:00Выпуск llama.cpp b9964 предотвращает скачивание дубликатов спецификационных моделей https://korshunov.ai/es/article/11112-la-version-b9964-de-llama-cpp-evita-descargas-duplicadas-del-modelo-de/korshunov.aies2026-07-11T12:18:12.175545+00:00La versión b9964 de llama.cpp evita descargas duplicadas del modelo de especificación https://korshunov.ai/zh-hans/article/11112-llama-cpp-b9964-fa-bu-fang-zhi-zhong-fu-xia-zai-gui-fan-mo-xing/korshunov.aizh-cn2026-07-11T12:18:12.175545+00:00llama.cpp b9964 发布防止重复下载规范模型 https://korshunov.ai/pt-br/article/11112-lancamento-b9964-do-llama-cpp-impede-downloads-duplicados-do-modelo-de/korshunov.aipt2026-07-11T12:18:12.175545+00:00Lançamento b9964 do llama.cpp impede downloads duplicados do modelo de especificação https://korshunov.ai/hi/article/11112-llama-cpp-b9964-riliij-dduplikett-spesiphikeshn-monddl-ddaaunlodd-ko-roktii-hai/korshunov.aihi2026-07-11T12:18:12.175545+00:00llama.cpp b9964 रिलीज़ डुप्लिकेट स्पेसिफिकेशन मॉडल डाउनलोड को रोकती है https://korshunov.ai/ja/article/11112-llama-cpp-b9964-riri-sutezhong-fu-shita-spec-moterunotaunro-towofang-zhi/korshunov.aija2026-07-11T12:18:12.175545+00:00llama.cpp b9964 リリースで重複した spec モデルのダウンロードを防止 https://korshunov.ai/ko/article/11112-llama-cpp-b9964-rilriseu-jungbog-spec-model-daunrodeu-bangji/korshunov.aiko2026-07-11T12:18:12.175545+00:00llama.cpp b9964 릴리스, 중복 spec 모델 다운로드 방지 https://korshunov.ai/fr/article/11112-la-release-b9964-de-llama-cpp-empeche-les-telechargements-en-double-du-modele/korshunov.aifr2026-07-11T12:18:12.175545+00:00La release b9964 de llama.cpp empêche les téléchargements en double du modèle spec https://korshunov.ai/id/article/11112-rilis-b9964-llama-cpp-mencegah-unduhan-model-spec-duplikat/korshunov.aiid2026-07-11T12:18:12.175545+00:00Rilis b9964 llama.cpp mencegah unduhan model spec duplikat https://korshunov.ai/ar/article/11112-sdr-b9964-mn-llama-cpp-ymn-tnzylt-nmwdhj-spec-lmkrr/korshunov.aiar2026-07-11T12:18:12.175545+00:00إصدار b9964 من llama.cpp يمنع تنزيلات نموذج spec المكررة https://korshunov.ai/en/article/11013-self-adaptive-anomaly-detection-for-connected-vehicles-uses-rl-and-human/korshunov.aien2026-07-11T12:03:25.243923+00:00Self-adaptive anomaly detection for connected vehicles uses RL and human feedback https://korshunov.ai/ru/article/11013-samonastraivaiushcheesia-obnaruzhenie-anomalii-dlia-podkliuchennykh-avtomobilei/korshunov.airu2026-07-11T12:03:25.243923+00:00Самонастраивающееся обнаружение аномалий для подключенных автомобилей использует RL и обратную связь от человека https://korshunov.ai/es/article/11013-la-deteccion-de-anomalias-autoadaptativa-para-vehiculos-conectados-utiliza-rl-y/korshunov.aies2026-07-11T12:03:25.243923+00:00La detección de anomalías autoadaptativa para vehículos conectados utiliza RL y retroalimentación humana https://korshunov.ai/zh-hans/article/11013-zi-gua-ying-yi-chang-jian-ce-yong-yu-lian-wang-che-liang-jie-he-rlhe-ren-lei-fan/korshunov.aizh-cn2026-07-11T12:03:25.243923+00:00自适应异常检测用于联网车辆，结合RL和人类反馈 https://korshunov.ai/pt-br/article/11013-deteccao-de-anomalias-autoadaptativa-para-veiculos-conectados-usa-rl-e-feedback/korshunov.aipt2026-07-11T12:03:25.243923+00:00Detecção de anomalias autoadaptativa para veículos conectados usa RL e feedback humano https://korshunov.ai/hi/article/11013-knekttedd-vaahnon-ke-lie-sv-anukuulit-enomlii-ddittekshn-rl-aur-maanv-phiiddbaik/korshunov.aihi2026-07-11T12:03:25.243923+00:00कनेक्टेड वाहनों के लिए स्व-अनुकूलित एनोमली डिटेक्शन RL और मानव फीडबैक का उपयोग करता है https://korshunov.ai/ja/article/11013-zi-lu-shi-ying-xing-yi-chang-jian-chu-connected-vehiclesniokeruqiang-hua-xue-xi/korshunov.aija2026-07-11T12:03:25.243923+00:00自律適応型異常検出：Connected Vehiclesにおける強化学習と人間のフィードバックの活用 https://korshunov.ai/ko/article/11013-yeongyeoldoen-caryangeul-wihan-jagi-jeogeunghyeong-isang-tamji-ganghwa-inganyi/korshunov.aiko2026-07-11T12:03:25.243923+00:00연결된 차량을 위한 자기 적응형 이상 탐지: 강화 학습과 인간의 피드백 활용 https://korshunov.ai/fr/article/11013-detection-d-anomalies-auto-adaptative-pour-les-vehicules-connectes-utilisant-l/korshunov.aifr2026-07-11T12:03:25.243923+00:00Détection d'anomalies auto-adaptative pour les véhicules connectés utilisant l'apprentissage par renforcement et le feedback humain https://korshunov.ai/id/article/11013-deteksi-anomali-adaptif-mandiri-untuk-kendaraan-terhubung-menggunakan-rl-dan/korshunov.aiid2026-07-11T12:03:25.243923+00:00Deteksi anomali adaptif mandiri untuk kendaraan terhubung menggunakan RL dan umpan balik manusia https://korshunov.ai/ar/article/11013-kshf-lshdhwdh-ltkyfy-ldhty-llmrkbt-lmtsl-ystkhdm-lt-lm-lm-zz-wmlhzt-lnsn/korshunov.aiar2026-07-11T12:03:25.243923+00:00كشف الشذوذ التكيفي الذاتي للمركبات المتصلة يستخدم التعلم المعزز وملاحظات الإنسان https://korshunov.ai/en/article/11012-jam-introduces-theory-agnostic-adaptive-metric-alignment-for-personality/korshunov.aien2026-07-11T11:54:17.650831+00:00JAM introduces theory-agnostic adaptive metric alignment for personality recognition https://korshunov.ai/ru/article/11012-jam-predstavliaet-teoriiu-agnosticheskoe-adaptivnoe-vyravnivanie-metrik-dlia/korshunov.airu2026-07-11T11:54:17.650831+00:00JAM представляет теорию-агностическое адаптивное выравнивание метрик для распознавания личности https://korshunov.ai/es/article/11012-jam-introduce-alineacion-de-metricas-adaptativas-agnosticas-a-la-teoria-para-el/korshunov.aies2026-07-11T11:54:17.650831+00:00JAM introduce alineación de métricas adaptativas agnósticas a la teoría para el reconocimiento de personalidad https://korshunov.ai/zh-hans/article/11012-jamyin-ru-li-lun-wu-guan-de-zi-gua-ying-du-liang-dui-qi-yong-yu-ren-ge-shi-bie/korshunov.aizh-cn2026-07-11T11:54:17.650831+00:00JAM引入理论无关的自适应度量对齐用于人格识别 https://korshunov.ai/pt-br/article/11012-jam-introduz-alinhamento-de-metricas-adaptativo-e-agnostico-a-teoria-para-de/korshunov.aipt2026-07-11T11:54:17.650831+00:00JAM introduz alinhamento de métricas adaptativo e agnóstico à teoria para reconhecimento de personalidade https://korshunov.ai/hi/article/11012-jam-vyktitv-phcaan-ke-lie-siddhaant-ajnyey-anukuulii-miittrik-elaainmentt-pesh/korshunov.aihi2026-07-11T11:54:17.650831+00:00JAM व्यक्तित्व पहचान के लिए सिद्धांत-अज्ञेय अनुकूली मीट्रिक एलाइनमेंट पेश करता है https://korshunov.ai/ja/article/11012-jamharen-ge-ren-shi-notamenoli-lun-fei-yi-cun-noshi-ying-de-ru/korshunov.aija2026-07-11T11:54:17.650831+00:00JAMは人格認識のための理論非依存の適応的メトリックアライメントを導入 https://korshunov.ai/ko/article/11012-jameun-seonggyeog-insigeul-wihan-iron-jungribjeog-jeogeung-meteurig-doib/korshunov.aiko2026-07-11T11:54:17.650831+00:00JAM은 성격 인식을 위한 이론 중립적 적응 메트릭 정렬을 도입 https://korshunov.ai/fr/article/11012-jam-introduit-un-alignement-de-metrique-adaptatif-et-agnostique-a-la-theorie-la/korshunov.aifr2026-07-11T11:54:17.650831+00:00JAM introduit un alignement de métrique adaptatif et agnostique à la théorie pour la reconnaissance de personnalité https://korshunov.ai/id/article/11012-jam-memperkenalkan-penyesuaian-metrik-adaptif-yang-tidak-bergantung-pada-teori/korshunov.aiid2026-07-11T11:54:17.650831+00:00JAM memperkenalkan penyesuaian metrik adaptif yang tidak bergantung pada teori untuk pengenalan kepribadian https://korshunov.ai/ar/article/11012-jam-tqdm-mhdh-mqys-tkyfy-gyr-m-tmd-l-lnzry-llt-rf-l-lshkhsy/korshunov.aiar2026-07-11T11:54:17.650831+00:00JAM تقدم محاذاة مقياس تكيفية غير معتمدة على النظرية للتعرف على الشخصية https://korshunov.ai/en/article/11011-wcog-vla-introduces-dual-level-world-cognitive-vla-for-proactive-autonomous/korshunov.aien2026-07-11T11:47:13.302128+00:00WCog-VLA introduces dual-level world-cognitive VLA for proactive autonomous driving https://korshunov.ai/ru/article/11011-wcog-vla-predstavliaet-dvukhurovnevyi-mirkognitivnyi-vla-dlia-proaktivnogo/korshunov.airu2026-07-11T11:47:13.302128+00:00WCog-VLA представляет двухуровневый миркогнитивный VLA для проактивного автономного вождения https://korshunov.ai/es/article/11011-wcog-vla-introduce-un-vla-de-mundo-cognitivo-dual-para-la-conduccion-autonoma/korshunov.aies2026-07-11T11:47:13.302128+00:00WCog-VLA introduce un VLA de mundo cognitivo dual para la conducción autónoma proactiva https://korshunov.ai/zh-hans/article/11011-wcog-vla-yin-ru-shuang-ceng-ji-shi-jie-ren-zhi-vla-yi-shi-xian-zhu-dong-shi-zi/korshunov.aizh-cn2026-07-11T11:47:13.302128+00:00WCog-VLA 引入双层级世界认知 VLA 以实现主动式自动驾驶 https://korshunov.ai/pt-br/article/11011-wcog-vla-introduz-vla-de-mundo-cognitivo-dual-para-direcao-autonoma-proativa/korshunov.aipt2026-07-11T11:47:13.302128+00:00WCog-VLA introduz VLA de mundo cognitivo dual para direção autônoma proativa https://korshunov.ai/hi/article/11011-wcog-vla-skriy-svcaalit-ddraaiving-ke-lie-dvi-striiy-vrldd-kognittiv-vla-pesh/korshunov.aihi2026-07-11T11:47:13.302128+00:00WCog-VLA सक्रिय स्वचालित ड्राइविंग के लिए द्वि-स्तरीय वर्ल्ड-कोग्निटिव VLA पेश करता है https://korshunov.ai/ja/article/11011-wcog-vlakahuroakuteihunazi-lu-yun-zhuan-notamenoteyuarureheru-wa-ru/korshunov.aija2026-07-11T11:47:13.302128+00:00WCog-VLAがプロアクティブな自律運転のためのデュアルレベル・ワールドコグニティブVLAを導入 https://korshunov.ai/ko/article/11011-wcog-vla-neungdongjeog-jayuljuhaengeul-wihan-ijung-segye-inji-vla-doib/korshunov.aiko2026-07-11T11:47:13.302128+00:00WCog-VLA, 능동적 자율주행을 위한 이중 세계 인지 VLA 도입 https://korshunov.ai/fr/article/11011-wcog-vla-introduit-un-vla-de-monde-cognitif-a-double-niveau-pour-la-conduite/korshunov.aifr2026-07-11T11:47:13.302128+00:00WCog-VLA introduit un VLA de monde cognitif à double niveau pour la conduite autonome proactive https://korshunov.ai/id/article/11011-wcog-vla-memperkenalkan-vla-kognitif-dunia-dua-tingkat-untuk-mengemudi-otonom/korshunov.aiid2026-07-11T11:47:13.302128+00:00WCog-VLA memperkenalkan VLA kognitif dunia dua tingkat untuk mengemudi otonom proaktif https://korshunov.ai/ar/article/11011-wcog-vla-yqdm-vla-m-rfy-ll-lm-l-mstwyyn-llqyd-ldhty-lstbqy/korshunov.aiar2026-07-11T11:47:13.302128+00:00WCog-VLA يقدم VLA معرفي للعالم على مستويين للقيادة الذاتية الاستباقية https://korshunov.ai/en/article/10910-eigenvalue-calibration-for-semantic-embeddings-of-large-language-models/korshunov.aien2026-07-11T11:36:59.766872+00:00Eigenvalue Calibration for Semantic Embeddings of Large Language Models https://korshunov.ai/ru/article/10910-kalibrovka-sobstvennykh-znachenii-dlia-semanticheskikh-embeddingov-bolshikh/korshunov.airu2026-07-11T11:36:59.766872+00:00Калибровка собственных значений для семантических эмбеддингов больших языковых моделей https://korshunov.ai/es/article/10910-calibracion-de-valores-propios-para-incrustaciones-semanticas-de-modelos-de/korshunov.aies2026-07-11T11:36:59.766872+00:00Calibración de valores propios para incrustaciones semánticas de modelos de lenguaje grandes https://korshunov.ai/zh-hans/article/10910-da-xing-yu-yan-mo-xing-yu-yi-qian-ru-de-te-zheng-zhi-xiao-zhun/korshunov.aizh-cn2026-07-11T11:36:59.766872+00:00大型语言模型语义嵌入的特征值校准 https://korshunov.ai/pt-br/article/10910-calibracao-de-autovalores-para-embeddings-semanticos-de-grandes-modelos-de/korshunov.aipt2026-07-11T11:36:59.766872+00:00Calibração de autovalores para embeddings semânticos de grandes modelos de linguagem https://korshunov.ai/hi/article/10910-bdde-bhaassaa-monddlon-ke-lie-arthvt-embeddings-ke-lie-aaigenvailyuu-kailibreshn/korshunov.aihi2026-07-11T11:36:59.766872+00:00बड़े भाषा मॉडलों के लिए अर्थवत एम्बेडिंग्स के लिए आइगेनवैल्यू कैलिब्रेशन https://korshunov.ai/ja/article/10910-da-gui-mo-yan-yu-moterunosemanteitsukumai-meip-minidui-surugu-you-zhi-kiyarihure/korshunov.aija2026-07-11T11:36:59.766872+00:00大規模言語モデルのセマンティック埋め込みに対する固有値キャリブレーション https://korshunov.ai/ko/article/10910-daegyumo-eoneo-modelyi-simaentig-imbedingeul-wihan-goyugabs-bojeong/korshunov.aiko2026-07-11T11:36:59.766872+00:00대규모 언어 모델의 시맨틱 임베딩을 위한 고유값 보정 https://korshunov.ai/fr/article/10910-calibration-des-valeurs-propres-pour-les-embeddings-semantiques-des-grands-de/korshunov.aifr2026-07-11T11:36:59.766872+00:00Calibration des valeurs propres pour les embeddings sémantiques des grands modèles de langage https://korshunov.ai/id/article/10910-kalibrasi-nilai-eigen-untuk-embedding-semantik-model-bahasa-besar/korshunov.aiid2026-07-11T11:36:59.766872+00:00Kalibrasi Nilai Eigen untuk Embedding Semantik Model Bahasa Besar https://korshunov.ai/ar/article/10910-m-yr-lqym-ldhty-ltdmynt-dlly-lnmdhj-llg-lkbyr/korshunov.aiar2026-07-11T11:36:59.766872+00:00معايرة القيم الذاتية لتضمينات دلالية لنماذج اللغة الكبيرة https://korshunov.ai/en/article/10909-extending-large-step-gradient-descent-theory-to-vector-outputs-and-manifolds-of/korshunov.aien2026-07-11T11:22:04.129492+00:00Extending large-step gradient descent theory to vector outputs and manifolds of flat minima https://korshunov.ai/ru/article/10909-rasshirenie-teorii-gradientnogo-spuska-s-bolshim-shagom-na-vektornye-vykhody-i/korshunov.airu2026-07-11T11:22:04.129492+00:00Расширение теории градиентного спуска с большим шагом на векторные выходы и многообразия плоских минимумов https://korshunov.ai/es/article/10909-extension-de-la-teoria-del-descenso-de-gradiente-con-pasos-grandes-a-salidas-y/korshunov.aies2026-07-11T11:22:04.129492+00:00Extensión de la teoría del descenso de gradiente con pasos grandes a salidas vectoriales y variedades de mínimos planos https://korshunov.ai/zh-hans/article/10909-jiang-da-bu-chang-ti-du-xia-jiang-li-lun-kuo-zhan-zhi-xiang-liang-shu-chu-he-ji/korshunov.aizh-cn2026-07-11T11:22:04.129492+00:00将大步长梯度下降理论扩展至向量输出和平面极小值流形 https://korshunov.ai/pt-br/article/10909-estendendo-a-teoria-do-gradiente-descendente-com-passos-grandes-para-saidas-e-de/korshunov.aipt2026-07-11T11:22:04.129492+00:00Estendendo a teoria do gradiente descendente com passos grandes para saídas vetoriais e variedades de mínimos planos https://korshunov.ai/hi/article/10909-bdde-sttep-greddientt-ddaaunlodd-siddhaant-ko-vekttr-aauttputt-aur-phlaitt-ke-tk/korshunov.aihi2026-07-11T11:22:04.129492+00:00बड़े-स्टेप ग्रेडिएंट डाउनलोड सिद्धांत को वेक्टर आउटपुट और फ्लैट मिनिमा के मैनिफोल्ड्स तक बढ़ाना https://korshunov.ai/ja/article/10909-hekutoruchu-li-toping-tan-naji-xiao-zhi-noduo-yang-ti-henoda-sutetsuhugou-pei-li/korshunov.aija2026-07-11T11:22:04.129492+00:00ベクトル出力と平坦な極小値の多様体への大ステップ勾配降下理論の拡張 https://korshunov.ai/ko/article/10909-begteo-culryeoggwa-pyeongpyeonghan-coesogabs-dayangcee-daehan-keun-dangye-hagang/korshunov.aiko2026-07-11T11:22:04.129492+00:00벡터 출력과 평평한 최소값 다양체에 대한 큰 단계 경사 하강 이론의 확장 https://korshunov.ai/fr/article/10909-extension-de-la-theorie-du-gradient-a-grands-pas-aux-sorties-vectorielles-et-aux/korshunov.aifr2026-07-11T11:22:04.129492+00:00Extension de la théorie du gradient à grands pas aux sorties vectorielles et aux variétés de minima plats https://korshunov.ai/id/article/10909-memperluas-teori-gradien-langkah-besar-ke-keluaran-vektor-dan-manifold-minimum/korshunov.aiid2026-07-11T11:22:04.129492+00:00Memperluas teori gradien langkah besar ke keluaran vektor dan manifold minimum datar https://korshunov.ai/ar/article/10909-twsy-nzry-lnzwl-ltdrjy-bkhtwt-kbyr-l-lmkhrjt-lmtjh-wmt-ddt-tbq-lnqt-ldny/korshunov.aiar2026-07-11T11:22:04.129492+00:00توسيع نظرية النزول التدرجي بخطوات كبيرة إلى المخرجات المتجهة ومتعددات أطباق النقاط الدنيا https://korshunov.ai/pt-br/article/10908-revisitando-texturas-de-massa-de-neutrinos-com-um-e-dois-zeros-com-dados/korshunov.aipt2026-07-11T11:12:57.245013+00:00Revisitando texturas de massa de neutrinos com um e dois zeros com dados recentes https://korshunov.ai/hi/article/10908-haaliyaa-ddettaa-ke-saath-ek-aur-do-shuuny-vaale-nyuuttrino-drvymaan-bnaavtton/korshunov.aihi2026-07-11T11:12:57.245013+00:00हालिया डेटा के साथ एक और दो शून्य वाले न्यूट्रिनो द्रव्यमान बनावटों पर पुनर्विचार https://korshunov.ai/ja/article/10908-zui-xin-note-tawoyong-itaniyu-torinozhi-liang-xing-lie-jian-tao/korshunov.aija2026-07-11T11:12:57.245013+00:00最新のデータを用いたニュートリノ質量行列のゼロ1およびゼロ2テクスチャの再検討 https://korshunov.ai/ko/article/10908-coesin-deiteoreul-sayonghan-jungseongmija-jilryang-haengryeolyi-han-gae-yeong-du/korshunov.aiko2026-07-11T11:12:57.245013+00:00최신 데이터를 사용한 중성미자 질량 행렬의 한 개 영 및 두 개 영 텍스처 재검토 https://korshunov.ai/fr/article/10908-reexamen-des-textures-de-masse-de-neutrinos-a-un-et-deux-zeros-avec-les-donnees/korshunov.aifr2026-07-11T11:12:57.245013+00:00Réexamen des textures de masse de neutrinos à un et deux zéros avec les données récentes https://korshunov.ai/id/article/10908-meninjau-kembali-tekstur-massa-neutrino-satu-nol-dan-dua-nol-dengan-data-terbaru/korshunov.aiid2026-07-11T11:12:57.245013+00:00Meninjau kembali tekstur massa neutrino satu-nol dan dua-nol dengan data terbaru https://korshunov.ai/ar/article/10908-d-lnzr-fy-nsyj-ktl-lnytrynw-dhw-lsfr-lwhd-wlsfryn-bstkhdm-lbynt-lhdyth/korshunov.aiar2026-07-11T11:12:57.245013+00:00إعادة النظر في نسيج كتلة النيترينو ذو الصفر الواحد والصفرين باستخدام البيانات الحديثة https://korshunov.ai/en/article/10908-revisiting-one-zero-and-two-zero-neutrino-mass-textures-with-recent-data/korshunov.aien2026-07-11T11:12:57.245013+00:00Revisiting one-zero and two-zero neutrino mass textures with recent data https://korshunov.ai/ru/article/10908-peresmotr-tekstur-neitrinnoi-massy-s-odnoi-i-dvumia-nuliami-s-uchetom-novykh/korshunov.airu2026-07-11T11:12:57.245013+00:00Пересмотр текстур нейтринной массы с одной и двумя нулями с учётом новых данных https://korshunov.ai/es/article/10908-revisando-texturas-de-masa-de-neutrinos-con-uno-y-dos-ceros-con-datos-recientes/korshunov.aies2026-07-11T11:12:57.245013+00:00Revisando texturas de masa de neutrinos con uno y dos ceros con datos recientes https://korshunov.ai/zh-hans/article/10908-jie-he-zui-xin-shu-ju-zhong-xin-shen-shi-han-yi-ge-he-liang-ge-ling-de-zhong-wei/korshunov.aizh-cn2026-07-11T11:12:57.245013+00:00结合最新数据重新审视含一个和两个零的中微子质量纹理 https://korshunov.ai/en/article/11110-user-reports-chatgpt-opposition-bias-and-ineffective-drift-prompts/korshunov.aien2026-07-11T11:01:24.470797+00:00User reports ChatGPT opposition bias and ineffective drift prompts https://korshunov.ai/ru/article/11110-polzovateli-soobshchaiut-o-predvziatosti-k-oppozitsii-i-neeffektivnosti-promptov/korshunov.airu2026-07-11T11:01:24.470797+00:00Пользователи сообщают о предвзятости к оппозиции и неэффективности промптов дрейфа в ChatGPT https://korshunov.ai/es/article/11110-usuarios-reportan-sesgo-de-oposicion-e-ineficacia-de-los-prompts-de-deriva-en/korshunov.aies2026-07-11T11:01:24.470797+00:00Usuarios reportan sesgo de oposición e ineficacia de los prompts de deriva en ChatGPT https://korshunov.ai/zh-hans/article/11110-yong-hu-bao-gao-chatgpt-cun-zai-dui-li-pian-jian-qie-piao-yi-ti-shi-wu-xiao/korshunov.aizh-cn2026-07-11T11:01:24.470797+00:00用户报告 ChatGPT 存在对立偏见且漂移提示无效 https://korshunov.ai/pt-br/article/11110-usuarios-relatam-vies-de-oposicao-e-prompts-de-deriva-ineficazes-no-chatgpt/korshunov.aipt2026-07-11T11:01:24.470797+00:00Usuários relatam viés de oposição e prompts de deriva ineficazes no ChatGPT https://korshunov.ai/hi/article/11110-upyogkrtaaon-ne-chatgpt-men-virodh-pksspaat-aur-aprbhaavii-ddriphtt-pronmptts/korshunov.aihi2026-07-11T11:01:24.470797+00:00उपयोगकर्ताओं ने ChatGPT में विरोध पक्षपात और अप्रभावी ड्रिफ्ट प्रॉम्प्ट्स की रिपोर्ट की https://korshunov.ai/ja/article/11110-yu-sa-kachatgptnofan-dui-haiasutoxiao-guo-de-natorihutohuronhutonoqian-ru-wobao/korshunov.aija2026-07-11T11:01:24.470797+00:00ユーザーがChatGPTの反対バイアスと効果的なドリフトプロンプトの欠如を報告 https://korshunov.ai/ko/article/11110-sayongjaga-chatgptyi-bandae-pyeonhyanggwa-bihyoyuljeogin-deuripeuteu-bogo/korshunov.aiko2026-07-11T11:01:24.470797+00:00사용자가 ChatGPT의 반대 편향과 비효율적인 드리프트 프롬프트 보고 https://korshunov.ai/fr/article/11110-un-utilisateur-signale-un-biais-d-opposition-de-chatgpt-et-l-inefficacite-des-de/korshunov.aifr2026-07-11T11:01:24.470797+00:00Un utilisateur signale un biais d'opposition de ChatGPT et l'inefficacité des prompts de dérive https://korshunov.ai/id/article/11110-pengguna-melaporkan-bias-oposisi-chatgpt-dan-prompt-drift-yang-tidak-efektif/korshunov.aiid2026-07-11T11:01:24.470797+00:00Pengguna melaporkan bias oposisi ChatGPT dan prompt drift yang tidak efektif https://korshunov.ai/ar/article/11110-mstkhdm-yblg-n-thyz-lm-rd-fy-chatgpt-w-dm-f-ly-wmr-lnhrf/korshunov.aiar2026-07-11T11:01:24.470797+00:00مستخدم يبلغ عن تحيز المعارضة في ChatGPT وعدم فعالية أوامر الانحراف https://korshunov.ai/en/article/11109-user-reports-chatgpt-switching-to-opposition-mode-across-multiple-chats/korshunov.aien2026-07-11T10:55:02.482920+00:00User reports ChatGPT switching to opposition mode across multiple chats https://korshunov.ai/ru/article/11109-polzovateli-soobshchaiut-chto-chatgpt-perekhodit-v-rezhim-oppozitsii-v-chatakh/korshunov.airu2026-07-11T10:55:02.482920+00:00Пользователи сообщают, что ChatGPT переходит в режим оппозиции в нескольких чатах https://korshunov.ai/es/article/11109-usuarios-reportan-que-chatgpt-cambia-a-modo-de-oposicion-en-multiples-chats/korshunov.aies2026-07-11T10:55:02.482920+00:00Usuarios reportan que ChatGPT cambia a modo de oposición en múltiples chats https://korshunov.ai/zh-hans/article/11109-yong-hu-bao-gao-chatgpt-zai-duo-ge-liao-tian-zhong-qie-huan-dao-dui-kang-mo-shi/korshunov.aizh-cn2026-07-11T10:55:02.482920+00:00用户报告 ChatGPT 在多个聊天中切换到对抗模式 https://korshunov.ai/pt-br/article/11109-usuarios-relatam-chatgpt-mudando-para-modo-de-oposicao-em-varios-chats/korshunov.aipt2026-07-11T10:55:02.482920+00:00Usuários relatam ChatGPT mudando para modo de oposição em vários chats https://korshunov.ai/hi/article/11109-upyogkrtaaon-kii-riportt-ke-anusaar-chatgpt-kii-caitts-men-virodhaabhaasii-modd/korshunov.aihi2026-07-11T10:55:02.482920+00:00उपयोगकर्ताओं की रिपोर्ट के अनुसार ChatGPT कई चैट्स में विरोधाभासी मोड पर स्विच कर रहा है https://korshunov.ai/ja/article/11109-yu-sa-kafu-shu-nochiyatsutotechatgptkadui-li-mo-toniqie-riti-warunowobao-gao/korshunov.aija2026-07-11T10:55:02.482920+00:00ユーザーが複数のチャットでChatGPTが対立モードに切り替わるのを報告 https://korshunov.ai/ko/article/11109-sayongjaga-yeoreo-caetingeseo-chatgptga-bandae-modeuro-jeonhwandoendago-bogo/korshunov.aiko2026-07-11T10:55:02.482920+00:00사용자가 여러 채팅에서 ChatGPT가 반대 모드로 전환된다고 보고 https://korshunov.ai/fr/article/11109-un-utilisateur-signale-que-chatgpt-passe-en-mode-opposition-sur-plusieurs/korshunov.aifr2026-07-11T10:55:02.482920+00:00Un utilisateur signale que ChatGPT passe en mode opposition sur plusieurs conversations https://korshunov.ai/id/article/11109-pengguna-melaporkan-chatgpt-beralih-ke-mode-oposisi-di-berbagai-obrolan/korshunov.aiid2026-07-11T10:55:02.482920+00:00Pengguna melaporkan ChatGPT beralih ke mode oposisi di berbagai obrolan https://korshunov.ai/ar/article/11109-mstkhdm-yblg-n-thwl-chatgpt-l-wd-lm-rd-br-mhdtht-mt-dd/korshunov.aiar2026-07-11T10:55:02.482920+00:00مستخدم يبلغ عن تحول ChatGPT إلى وضع المعارضة عبر محادثات متعددة https://korshunov.ai/en/article/11108-hf-hub-incorrectly-requires-pro-subscription-for-static-space-uploads/korshunov.aien2026-07-11T10:39:34.923498+00:00HF Hub incorrectly requires Pro subscription for static Space uploads https://korshunov.ai/ru/article/11108-hf-hub-oshibochno-trebuet-podpisku-pro-dlia-zagruzki-staticheskikh-spaces/korshunov.airu2026-07-11T10:39:34.923498+00:00HF Hub ошибочно требует подписку Pro для загрузки статических Spaces https://korshunov.ai/es/article/11108-hf-hub-requiere-incorrectamente-suscripcion-pro-para-cargas-estaticas-de-space/korshunov.aies2026-07-11T10:39:34.923498+00:00HF Hub requiere incorrectamente suscripción Pro para cargas estáticas de Space https://korshunov.ai/zh-hans/article/11108-hf-hub-cuo-wu-yao-qiu-jing-tai-space-shang-chuan-xu-pro-ding-yue/korshunov.aizh-cn2026-07-11T10:39:34.923498+00:00HF Hub 错误要求静态 Space 上传需 Pro 订阅 https://korshunov.ai/pt-br/article/11108-hf-hub-exige-incorretamente-assinatura-pro-para-uploads-estaticos-de-space/korshunov.aipt2026-07-11T10:39:34.923498+00:00HF Hub exige incorretamente assinatura Pro para uploads estáticos de Space https://korshunov.ai/hi/article/11108-hf-hub-ko-sthaanaantrit-space-ke-lie-pro-sdsytaa-kii-aavshyktaa-glt-triike-se/korshunov.aihi2026-07-11T10:39:34.923498+00:00HF Hub को स्थानांतरित Space के लिए Pro सदस्यता की आवश्यकता गलत तरीके से होती है https://korshunov.ai/ja/article/11108-hf-hubkajing-de-spacenoatsuhuro-toniwu-tsuteprosahusukurihushiyonwoyao-qiu/korshunov.aija2026-07-11T10:39:34.923498+00:00HF Hubが静的Spaceのアップロードに誤ってProサブスクリプションを要求 https://korshunov.ai/ko/article/11108-hf-hubga-jeongjeog-space-eobrodeue-daehae-jalmos-pro-gudogeul-yogu/korshunov.aiko2026-07-11T10:39:34.923498+00:00HF Hub가 정적 Space 업로드에 대해 잘못 Pro 구독을 요구 https://korshunov.ai/fr/article/11108-hf-hub-exige-incorrectement-un-abonnement-pro-pour-les-uploads-statiques-de/korshunov.aifr2026-07-11T10:39:34.923498+00:00HF Hub exige incorrectement un abonnement Pro pour les uploads statiques de Spaces https://korshunov.ai/id/article/11108-hf-hub-secara-salah-memerlukan-langganan-pro-untuk-unggahan-space-statis/korshunov.aiid2026-07-11T10:39:34.923498+00:00HF Hub secara salah memerlukan langganan Pro untuk unggahan Space statis https://korshunov.ai/ar/article/11108-mrkz-hf-yttlb-bshkl-gyr-shyh-shtrk-pro-lrf-lmsht-lthbt/korshunov.aiar2026-07-11T10:39:34.923498+00:00مركز HF يتطلب بشكل غير صحيح اشتراك Pro لرفع المساحات الثابتة https://korshunov.ai/en/article/11107-llama-cpp-b9963-adds-deepseek-ocr-v1-multi-tile-support/korshunov.aien2026-07-11T10:34:56.672702+00:00llama.cpp b9963 adds deepseek-ocr v1 multi-tile support https://korshunov.ai/ru/article/11107-llama-cpp-b9963-dobavliaet-podderzhku-multi-tile-dlia-deepseek-ocr-v1/korshunov.airu2026-07-11T10:34:56.672702+00:00llama.cpp b9963 добавляет поддержку multi-tile для deepseek-ocr v1 https://korshunov.ai/es/article/11107-llama-cpp-b9963-anade-soporte-multi-tile-para-deepseek-ocr-v1/korshunov.aies2026-07-11T10:34:56.672702+00:00llama.cpp b9963 añade soporte multi-tile para deepseek-ocr v1 https://korshunov.ai/zh-hans/article/11107-llama-cpp-b9963-zeng-jia-dui-deepseek-ocr-v1-duo-wa-pian-zhi-chi/korshunov.aizh-cn2026-07-11T10:34:56.672702+00:00llama.cpp b9963 增加对 deepseek-ocr v1 多瓦片支持 https://korshunov.ai/pt-br/article/11107-llama-cpp-b9963-adiciona-suporte-multi-tile-para-deepseek-ocr-v1/korshunov.aipt2026-07-11T10:34:56.672702+00:00llama.cpp b9963 adiciona suporte multi-tile para deepseek-ocr v1 https://korshunov.ai/hi/article/11107-llama-cpp-b9963-ne-deepseek-ocr-v1-ke-lie-multi-tile-smrthn-joddaa/korshunov.aihi2026-07-11T10:34:56.672702+00:00llama.cpp b9963 ने deepseek-ocr v1 के लिए multi-tile समर्थन जोड़ा https://korshunov.ai/ja/article/11107-llama-cpp-b9963kadeepseek-ocr-v1nomaruchitairudui-ying-wozhui-jia/korshunov.aija2026-07-11T10:34:56.672702+00:00llama.cpp b9963がdeepseek-ocr v1のマルチタイル対応を追加 https://korshunov.ai/ko/article/11107-llama-cpp-b9963i-deepseek-ocr-v1-meolti-tail-jiweon-cuga/korshunov.aiko2026-07-11T10:34:56.672702+00:00llama.cpp b9963이 deepseek-ocr v1 멀티 타일 지원 추가 https://korshunov.ai/fr/article/11107-llama-cpp-b9963-ajoute-le-support-multi-tuiles-pour-deepseek-ocr-v1/korshunov.aifr2026-07-11T10:34:56.672702+00:00llama.cpp b9963 ajoute le support multi-tuiles pour deepseek-ocr v1 https://korshunov.ai/id/article/11107-llama-cpp-b9963-menambahkan-dukungan-multi-tile-untuk-deepseek-ocr-v1/korshunov.aiid2026-07-11T10:34:56.672702+00:00llama.cpp b9963 menambahkan dukungan multi-tile untuk deepseek-ocr v1 https://korshunov.ai/ar/article/11107-df-llama-cpp-b9963-d-m-mt-dd-lblt-l-deepseek-ocr-v1/korshunov.aiar2026-07-11T10:34:56.672702+00:00إضافة llama.cpp b9963 دعم متعدد البلاط لـ deepseek-ocr v1 https://korshunov.ai/zh-hans/article/10907-tong-guo-shu-ru-fen-bian-lu-suo-fang-shi-xian-ren-yi-shi-ke-ji-guang-lei-da-mu/korshunov.aizh-cn2026-07-11T10:14:38.613615+00:00通过输入分辨率缩放实现任意时刻激光雷达目标检测 https://korshunov.ai/en/article/10907-anytime-lidar-object-detection-via-input-resolution-scaling/korshunov.aien2026-07-11T10:14:38.613615+00:00Anytime LiDAR Object Detection via Input Resolution Scaling https://korshunov.ai/ru/article/10907-obnaruzhenie-obektov-lidar-v-liuboe-vremia-posredstvom-masshtabirovaniia/korshunov.airu2026-07-11T10:14:38.613615+00:00Обнаружение объектов LiDAR в любое время посредством масштабирования входного разрешения https://korshunov.ai/es/article/10907-deteccion-de-objetos-lidar-en-cualquier-momento-mediante-escalado-de-resolucion/korshunov.aies2026-07-11T10:14:38.613615+00:00Detección de objetos LiDAR en cualquier momento mediante escalado de resolución de entrada https://korshunov.ai/pt-br/article/10907-deteccao-de-objetos-lidar-a-qualquer-momento-via-escalonamento-de-resolucao-de/korshunov.aipt2026-07-11T10:14:38.613615+00:00Detecção de objetos LiDAR a qualquer momento via escalonamento de resolução de entrada https://korshunov.ai/hi/article/10907-inputt-rijonlyuushn-skeling-ke-maadhym-se-kisii-bhii-smy-lidar-onbjektt/korshunov.aihi2026-07-11T10:14:38.613615+00:00इनपुट रिज़ॉल्यूशन स्केलिंग के माध्यम से किसी भी समय LiDAR ऑब्जेक्ट डिटेक्शन https://korshunov.ai/ja/article/10907-ru-li-jie-xiang-du-suke-rinkuniyoruren-yi-shi-ke-nolidarwu-ti-jian-chu/korshunov.aija2026-07-11T10:14:38.613615+00:00入力解像度スケーリングによる任意時刻のLiDAR物体検出 https://korshunov.ai/ko/article/10907-ibryeog-haesangdo-seukeilringeul-tonghan-eonjedeun-ganeunghan-lidar-gaegce-gamji/korshunov.aiko2026-07-11T10:14:38.613615+00:00입력 해상도 스케일링을 통한 언제든 가능한 LiDAR 객체 감지 https://korshunov.ai/fr/article/10907-detection-d-objets-lidar-a-tout-moment-via-la-mise-a-l-echelle-de-la-resolution/korshunov.aifr2026-07-11T10:14:38.613615+00:00Détection d'objets LiDAR à tout moment via la mise à l'échelle de la résolution d'entrée https://korshunov.ai/id/article/10907-deteksi-objek-lidar-kapan-saja-melalui-skala-resolusi-input/korshunov.aiid2026-07-11T10:14:38.613615+00:00Deteksi Objek LiDAR Kapan Saja Melalui Skala Resolusi Input https://korshunov.ai/ar/article/10907-kshf-ljsm-bwst-llydr-fy-y-wqt-br-qys-mqys-dq-ldkhl/korshunov.aiar2026-07-11T10:14:38.613615+00:00كشف الأجسام بواسطة الليدار في أي وقت عبر قياس مقياس دقة الإدخال https://korshunov.ai/en/article/10906-irisflow-enables-open-vocabulary-inverse-design-of-multilayer-optical-coatings/korshunov.aien2026-07-11T10:07:02.339681+00:00IrisFlow enables open-vocabulary inverse design of multilayer optical coatings https://korshunov.ai/ru/article/10906-irisflow-obespechivaet-obratnoe-proektirovanie-mnogosloinykh-opticheskikh-s/korshunov.airu2026-07-11T10:07:02.339681+00:00IrisFlow обеспечивает обратное проектирование многослойных оптических покрытий с открытым словарём https://korshunov.ai/es/article/10906-irisflow-permite-el-diseno-inverso-de-vocabulario-abierto-de-recubrimientos/korshunov.aies2026-07-11T10:07:02.339681+00:00IrisFlow permite el diseño inverso de vocabulario abierto de recubrimientos ópticos multicapa https://korshunov.ai/zh-hans/article/10906-irisflowshi-xian-duo-ceng-guang-xue-tu-ceng-de-kai-fang-ci-hui-ni-xiang-she-ji/korshunov.aizh-cn2026-07-11T10:07:02.339681+00:00IrisFlow实现多层光学涂层的开放词汇逆向设计 https://korshunov.ai/pt-br/article/10906-irisflow-permite-o-projeto-inverso-de-revestimentos-opticos-multicamadas-com/korshunov.aipt2026-07-11T10:07:02.339681+00:00IrisFlow permite o projeto inverso de revestimentos ópticos multicamadas com vocabulário aberto https://korshunov.ai/hi/article/10906-aairisphlo-bhuprt-onpttikl-kottings-ke-opn-vokaibulrii-vyutkrm-ddijaain-ko-skssm/korshunov.aihi2026-07-11T10:07:02.339681+00:00आइरिसफ्लो बहुपरत ऑप्टिकल कोटिंग्स के ओपन-वोकैबुलरी व्युत्क्रम डिजाइन को सक्षम बनाता है https://korshunov.ai/ja/article/10906-irisflowkamaruchireiya-guang-xue-ko-teinkunoo-hunhokiyahurarini-she-ji-woke-neng/korshunov.aija2026-07-11T10:07:02.339681+00:00IrisFlowがマルチレイヤー光学コーティングのオープンボキャブラリ逆設計を可能にする https://korshunov.ai/ko/article/10906-irisflow-daceung-gwanghag-kotingyi-opeun-eohwi-yeogseolgyereul-ganeunghage-hada/korshunov.aiko2026-07-11T10:07:02.339681+00:00IrisFlow, 다층 광학 코팅의 오픈 어휘 역설계를 가능하게 하다 https://korshunov.ai/fr/article/10906-irisflow-permet-la-conception-inverse-a-vocabulaire-ouvert-de-revetements/korshunov.aifr2026-07-11T10:07:02.339681+00:00IrisFlow permet la conception inverse à vocabulaire ouvert de revêtements optiques multicouches https://korshunov.ai/id/article/10906-irisflow-memungkinkan-desain-invers-kosakata-terbuka-untuk-lapisan-optik/korshunov.aiid2026-07-11T10:07:02.339681+00:00IrisFlow memungkinkan desain invers kosakata terbuka untuk lapisan optik multilapis https://korshunov.ai/ar/article/10906-irisflow-ytyh-ltsmym-l-ksy-bmfrdt-mftwh-lltlt-lbsry-mt-dd-ltbqt/korshunov.aiar2026-07-11T10:07:02.339681+00:00IrisFlow يتيح التصميم العكسي بمفردات مفتوحة للطلاءات البصرية متعددة الطبقات https://korshunov.ai/en/article/11106-custom-cuda-code-runs-qwen3-30b-a3b-at-50-tok-s-on-rtx-5060-ti/korshunov.aien2026-07-11T09:46:50.075680+00:00Custom CUDA code runs Qwen3 30B A3B at 50 tok/s on RTX 5060 Ti https://korshunov.ai/ru/article/11106-polzovatelskii-cuda-kod-zapuskaet-qwen3-30b-a3b-so-skorostiu-50-tok-s-na-rtx-ti/korshunov.airu2026-07-11T09:46:50.075680+00:00Пользовательский CUDA-код запускает Qwen3 30B A3B со скоростью 50 ток/с на RTX 5060 Ti https://korshunov.ai/es/article/11106-codigo-cuda-personalizado-ejecuta-qwen3-30b-a3b-a-50-tok-s-en-rtx-5060-ti/korshunov.aies2026-07-11T09:46:50.075680+00:00Código CUDA personalizado ejecuta Qwen3 30B A3B a 50 tok/s en RTX 5060 Ti https://korshunov.ai/zh-hans/article/11106-zi-ding-yi-cuda-dai-ma-zai-rtx-5060-ti-shang-yi-50-tok-s-yun-xing-qwen3-30b-a3b/korshunov.aizh-cn2026-07-11T09:46:50.075680+00:00自定义 CUDA 代码在 RTX 5060 Ti 上以 50 tok/s 运行 Qwen3 30B A3B https://korshunov.ai/pt-br/article/11106-codigo-cuda-personalizado-executa-qwen3-30b-a3b-a-50-tok-s-na-rtx-5060-ti/korshunov.aipt2026-07-11T09:46:50.075680+00:00Código CUDA personalizado executa Qwen3 30B A3B a 50 tok/s na RTX 5060 Ti https://korshunov.ai/hi/article/11106-ksttm-cuda-kodd-rtx-5060-ti-pr-qwen3-30b-a3b-ko-50-tok-s-pr-claataa-hai/korshunov.aihi2026-07-11T09:46:50.075680+00:00कस्टम CUDA कोड RTX 5060 Ti पर Qwen3 30B A3B को 50 tok/s पर चलाता है https://korshunov.ai/ja/article/11106-kasutamucudako-totertx-5060-tishang-teqwen3-30b-a3bwo50-tok-steshi-xing/korshunov.aija2026-07-11T09:46:50.075680+00:00カスタムCUDAコードでRTX 5060 Ti上でQwen3 30B A3Bを50 tok/sで実行 https://korshunov.ai/ko/article/11106-majcumhyeong-cuda-kodeuro-rtx-5060-tieseo-qwen3-30b-a3breul-codang-50-tokeuneuro/korshunov.aiko2026-07-11T09:46:50.075680+00:00맞춤형 CUDA 코드로 RTX 5060 Ti에서 Qwen3 30B A3B를 초당 50 토큰으로 실행 https://korshunov.ai/fr/article/11106-le-code-cuda-personnalise-execute-qwen3-30b-a3b-a-50-tok-s-sur-rtx-5060-ti/korshunov.aifr2026-07-11T09:46:50.075680+00:00Le code CUDA personnalisé exécute Qwen3 30B A3B à 50 tok/s sur RTX 5060 Ti https://korshunov.ai/id/article/11106-kode-cuda-khusus-menjalankan-qwen3-30b-a3b-pada-rtx-5060-ti-dengan-kecepatan-50/korshunov.aiid2026-07-11T09:46:50.075680+00:00Kode CUDA khusus menjalankan Qwen3 30B A3B pada RTX 5060 Ti dengan kecepatan 50 tok/s https://korshunov.ai/ar/article/11106-kwd-cuda-lmkhss-yshgwl-nmwdhj-qwen3-30b-a3b-bsr-50-twkn-thny-l-rtx-5060-ti/korshunov.aiar2026-07-11T09:46:50.075680+00:00كود CUDA المخصص يشغّل نموذج Qwen3 30B A3B بسرعة 50 توكن/ثانية على RTX 5060 Ti https://korshunov.ai/en/article/11105-llama-cpp-b9960-removes-loading-html-and-disables-kleidiai/korshunov.aien2026-07-11T09:40:57.585781+00:00llama.cpp b9960 removes loading.html and disables KleidiAI https://korshunov.ai/ru/article/11105-llama-cpp-b9960-udaliaet-loading-html-i-otkliuchaet-kleidiai/korshunov.airu2026-07-11T09:40:57.585781+00:00llama.cpp b9960 удаляет loading.html и отключает KleidiAI https://korshunov.ai/es/article/11105-llama-cpp-b9960-elimina-loading-html-y-desactiva-kleidiai/korshunov.aies2026-07-11T09:40:57.585781+00:00llama.cpp b9960 elimina loading.html y desactiva KleidiAI https://korshunov.ai/zh-hans/article/11105-llama-cpp-b9960-yi-chu-liao-loading-html-bing-jin-yong-liao-kleidiai/korshunov.aizh-cn2026-07-11T09:40:57.585781+00:00llama.cpp b9960 移除了 loading.html 并禁用了 KleidiAI https://korshunov.ai/pt-br/article/11105-llama-cpp-b9960-remove-loading-html-e-desativa-kleidiai/korshunov.aipt2026-07-11T09:40:57.585781+00:00llama.cpp b9960 remove loading.html e desativa KleidiAI https://korshunov.ai/hi/article/11105-llama-cpp-b9960-ne-loading-html-ko-httaa-diyaa-aur-kleidiai-ko-akssm-kr-diyaa/korshunov.aihi2026-07-11T09:40:57.585781+00:00llama.cpp b9960 ने loading.html को हटा दिया और KleidiAI को अक्षम कर दिया https://korshunov.ai/ja/article/11105-llama-cpp-b9960teloading-htmlnoxue-chu-tokleidiainowu-xiao-hua/korshunov.aija2026-07-11T09:40:57.585781+00:00llama.cpp b9960でloading.htmlの削除とKleidiAIの無効化 https://korshunov.ai/ko/article/11105-llama-cpp-b9960eseo-loading-html-jegeo-mic-kleidiai-bihwalseonghwa/korshunov.aiko2026-07-11T09:40:57.585781+00:00llama.cpp b9960에서 loading.html 제거 및 KleidiAI 비활성화 https://korshunov.ai/fr/article/11105-llama-cpp-b9960-supprime-loading-html-et-desactive-kleidiai/korshunov.aifr2026-07-11T09:40:57.585781+00:00llama.cpp b9960 supprime loading.html et désactive KleidiAI https://korshunov.ai/id/article/11105-llama-cpp-b9960-menghapus-loading-html-dan-menonaktifkan-kleidiai/korshunov.aiid2026-07-11T09:40:57.585781+00:00llama.cpp b9960 menghapus loading.html dan menonaktifkan KleidiAI https://korshunov.ai/ar/article/11105-zl-loading-html-wt-tyl-kleidiai-fy-llama-cpp-b9960/korshunov.aiar2026-07-11T09:40:57.585781+00:00إزالة loading.html وتعطيل KleidiAI في llama.cpp b9960 https://korshunov.ai/en/article/11010-researchers-formalize-knowing-using-gap-and-propose-self-patching-to-improve-llm/korshunov.aien2026-07-11T09:22:27.088663+00:00Researchers formalize Knowing-Using Gap and propose self-patching to improve LLM finetuning generalization https://korshunov.ai/ru/article/11010-issledovateli-formalizuiut-razryv-mezhdu-znaniem-i-ispolzovaniem-i-predlagaiut/korshunov.airu2026-07-11T09:22:27.088663+00:00Исследователи формализуют разрыв между знанием и использованием и предлагают самовосстановление для улучшения обобщения при дообучении LLM https://korshunov.ai/es/article/11010-investigadores-formalizan-la-brecha-entre-saber-y-usar-y-proponen-auto-para-la/korshunov.aies2026-07-11T09:22:27.088663+00:00Investigadores formalizan la brecha entre saber y usar y proponen auto-reparación para mejorar la generalización del ajuste fino de LLM https://korshunov.ai/zh-hans/article/11010-yan-jiu-ren-yuan-xing-shi-hua-zhi-yong-chai-ju-bing-ti-chu-zi-xiu-fu-yi-ti-sheng/korshunov.aizh-cn2026-07-11T09:22:27.088663+00:00研究人员形式化“知用差距”并提出自修复以提升大语言模型微调泛化能力 https://korshunov.ai/pt-br/article/11010-pesquisadores-formalizam-a-lacuna-entre-saber-e-usar-e-propoem-auto-correcao-a/korshunov.aipt2026-07-11T09:22:27.088663+00:00Pesquisadores formalizam a Lacuna entre Saber e Usar e propõem auto-correção para melhorar a generalização do ajuste fino de LLMs https://korshunov.ai/hi/article/11010-shodhkrtaaon-ne-jnyaan-upyog-antr-ko-aupcaarik-ruup-diyaa-aur-llm-phaain-men-ke/korshunov.aihi2026-07-11T09:22:27.088663+00:00शोधकर्ताओं ने ज्ञान-उपयोग अंतर को औपचारिक रूप दिया और LLM फाइन-ट्यूनिंग सामान्यीकरण में सुधार के लिए स्वयं-मरम्मत का प्रस्ताव रखा https://korshunov.ai/ja/article/11010-yan-jiu-zhe-ka-zhi-shi-toli-yong-nokiyatsuhu-woxing-shi-hua-shi-llmhuainchiyu-ji/korshunov.aija2026-07-11T09:22:27.088663+00:00研究者が「知識と利用のギャップ」を形式化し、LLMファインチューニングの汎化性能向上のための自己修復手法を提案 https://korshunov.ai/ko/article/11010-yeongujadeuli-algo-sayonghagi-gangyeog-eul-gongsighwahago-llm-paintyuning-wihan/korshunov.aiko2026-07-11T09:22:27.088663+00:00연구자들이 '알고-사용하기 간격'을 공식화하고 LLM 파인튜닝 일반화 개선을 위한 자가 패칭 제안 https://korshunov.ai/fr/article/11010-les-chercheurs-formalisent-l-ecart-entre-savoir-et-utiliser-et-proposent-un-auto/korshunov.aifr2026-07-11T09:22:27.088663+00:00Les chercheurs formalisent l'écart entre savoir et utiliser et proposent un auto-patching pour améliorer la généralisation du finetuning des LLM https://korshunov.ai/id/article/11010-peneliti-memformalkan-kesenjangan-mengetahui-menggunakan-dan-mengusulkan-self/korshunov.aiid2026-07-11T09:22:27.088663+00:00Peneliti memformalkan Kesenjangan Mengetahui-Menggunakan dan mengusulkan self-patching untuk meningkatkan generalisasi finetuning LLM https://korshunov.ai/ar/article/11010-lbhthwn-yurswkhwn-fjw-lm-rf-lstkhdm-wyqtrhwn-ltshyh-ldhty-lthsyn-t-mym-dbt-llgwy/korshunov.aiar2026-07-11T09:22:27.088663+00:00الباحثون يُرسّخون فجوة المعرفة-الاستخدام ويقترحون التصحيح الذاتي لتحسين تعميم ضبط النماذج اللغوية الكبيرة https://korshunov.ai/en/article/10905-prompt-compression-via-activation-aggregation-compresses-prompts-into-single/korshunov.aien2026-07-11T09:14:17.905705+00:00Prompt Compression via Activation Aggregation compresses prompts into single vectors https://korshunov.ai/ru/article/10905-szhatie-promptov-cherez-agregatsiiu-aktivatsii-szhatie-promptov-v-edinyi-vektor/korshunov.airu2026-07-11T09:14:17.905705+00:00Сжатие промптов через агрегацию активаций: сжатие промптов в единый вектор https://korshunov.ai/es/article/10905-la-compresion-de-prompts-mediante-agregacion-de-activaciones-comprime-los-en/korshunov.aies2026-07-11T09:14:17.905705+00:00La compresión de prompts mediante agregación de activaciones comprime los prompts en vectores únicos https://korshunov.ai/zh-hans/article/10905-tong-guo-ji-huo-ju-he-jin-xing-ti-shi-ya-suo-jiang-ti-shi-ya-suo-wei-dan-ge/korshunov.aizh-cn2026-07-11T09:14:17.905705+00:00通过激活聚合进行提示压缩，将提示压缩为单个向量 https://korshunov.ai/pt-br/article/10905-compressao-de-prompts-via-agregacao-de-ativacoes-comprime-prompts-em-vetores/korshunov.aipt2026-07-11T09:14:17.905705+00:00Compressão de prompts via agregação de ativações comprime prompts em vetores únicos https://korshunov.ai/hi/article/10905-ekttiveshn-egriigeshn-ke-maadhym-se-pronmptt-knpreshn-pronmptts-ko-singl-vekttr/korshunov.aihi2026-07-11T09:14:17.905705+00:00एक्टिवेशन एग्रीगेशन के माध्यम से प्रॉम्प्ट कंप्रेशन प्रॉम्प्ट्स को सिंगल वेक्टर में संकुचित करता है https://korshunov.ai/ja/article/10905-huo-xing-hua-akurike-shiyonniyoruhuronhutoya-suo-hahuronhutowodan-yi-suo-suru/korshunov.aija2026-07-11T09:14:17.905705+00:00活性化アグリゲーションによるプロンプト圧縮はプロンプトを単一ベクトルに圧縮する https://korshunov.ai/ko/article/10905-hwalseonghwa-jibgye-giban-peurompeuteu-abcugeun-peurompeuteureul-danil-begteoro/korshunov.aiko2026-07-11T09:14:17.905705+00:00활성화 집계 기반 프롬프트 압축은 프롬프트를 단일 벡터로 압축합니다 https://korshunov.ai/fr/article/10905-la-compression-de-prompts-par-agregation-d-activations-compresse-les-prompts-en/korshunov.aifr2026-07-11T09:14:17.905705+00:00La compression de prompts par agrégation d'activations compresse les prompts en un seul vecteur https://korshunov.ai/id/article/10905-kompresi-prompt-melalui-agregasi-aktivitas-mengompres-prompt-menjadi-vektor/korshunov.aiid2026-07-11T09:14:17.905705+00:00Kompresi Prompt melalui Agregasi Aktivitas mengompres prompt menjadi vektor tunggal https://korshunov.ai/ar/article/10905-dgt-lmtlbt-br-tjmy-ltnshyt-ydgt-lmtlbt-l-mtjh-whd/korshunov.aiar2026-07-11T09:14:17.905705+00:00ضغط المطالبات عبر تجميع التنشيط يضغط المطالبات إلى متجه واحد https://korshunov.ai/en/article/10904-trace-two-channel-robust-attribution-watermark-for-llm-agent-trajectories/korshunov.aien2026-07-11T09:08:14.764931+00:00TRACE: Two-channel robust attribution watermark for LLM-agent trajectories https://korshunov.ai/ru/article/10904-trace-dvukhkanalnyi-ustoichivyi-vodianoi-znak-atributsii-dlia-traektorii-agentov/korshunov.airu2026-07-11T09:08:14.764931+00:00TRACE: двухканальный устойчивый водяной знак атрибуции для траекторий агентов LLM https://korshunov.ai/es/article/10904-trace-marca-de-agua-robusta-de-atribucion-de-dos-canales-para-trayectorias-de/korshunov.aies2026-07-11T09:08:14.764931+00:00TRACE: marca de agua robusta de atribución de dos canales para trayectorias de agentes LLM https://korshunov.ai/zh-hans/article/10904-trace-mian-xiang-llmzhi-neng-ti-gui-ji-de-shuang-tong-dao-lu-bang-gui-yin-shui/korshunov.aizh-cn2026-07-11T09:08:14.764931+00:00TRACE：面向LLM智能体轨迹的双通道鲁棒归因水印 https://korshunov.ai/pt-br/article/10904-trace-marca-d-agua-robusta-de-atribuicao-de-dois-canais-para-trajetorias-de-llm/korshunov.aipt2026-07-11T09:08:14.764931+00:00TRACE: marca d'água robusta de atribuição de dois canais para trajetórias de agentes LLM https://korshunov.ai/hi/article/10904-trace-llm-ejentt-ttraijekttrii-ke-lie-do-cainl-ronbstt-ettribyuushn-vaattrmaark/korshunov.aihi2026-07-11T09:08:14.764931+00:00TRACE: LLM-एजेंट ट्रैजेक्ट्री के लिए दो-चैनल रॉबस्ट एट्रिब्यूशन वाटरमार्क https://korshunov.ai/ja/article/10904-trace-llme-shientogui-ji-xiang-keno2chiyanerujian-lao-nagui-shu-yong-tou-kashi/korshunov.aija2026-07-11T09:08:14.764931+00:00TRACE: LLMエージェント軌跡向けの2チャネル堅牢な帰属用透かし https://korshunov.ai/ko/article/10904-trace-llm-eijeonteu-gwejeogeul-wihan-2caeneol-gyeongohan-gwisog-weoteomakeu/korshunov.aiko2026-07-11T09:08:14.764931+00:00TRACE: LLM 에이전트 궤적을 위한 2채널 견고한 귀속 워터마크 https://korshunov.ai/fr/article/10904-trace-filigrane-d-attribution-robuste-a-deux-canaux-pour-les-trajectoires-d-llm/korshunov.aifr2026-07-11T09:08:14.764931+00:00TRACE : Filigrane d'attribution robuste à deux canaux pour les trajectoires d'agents LLM https://korshunov.ai/id/article/10904-trace-watermark-atribusi-robust-dua-saluran-untuk-lintasan-agen-llm/korshunov.aiid2026-07-11T09:08:14.764931+00:00TRACE: Watermark atribusi robust dua-saluran untuk lintasan agen LLM https://korshunov.ai/ar/article/10904-trace-lm-myy-qwy-dht-qntyn-llnsb-lmsrt-wkl-llm/korshunov.aiar2026-07-11T09:08:14.764931+00:00TRACE: علامة مائية قوية ذات قناتين للنسب لمسارات وكلاء LLM https://korshunov.ai/zh-hans/article/11009-trace-wei-llm-zhi-neng-ti-gui-ji-yin-ru-shuang-tong-dao-lu-bang-gui-yin-shui-yin/korshunov.aizh-cn2026-07-11T09:00:30.518477+00:00TRACE 为 LLM 智能体轨迹引入双通道鲁棒归因水印 https://korshunov.ai/en/article/11009-trace-introduces-a-two-channel-robust-attribution-watermark-for-llm-agent/korshunov.aien2026-07-11T09:00:30.518477+00:00TRACE introduces a two-channel robust attribution watermark for LLM-agent trajectories https://korshunov.ai/ru/article/11009-trace-predstavliaet-dvukhkanalnyi-ustoichivyi-vodianoi-znak-atributsii-dlia-llm/korshunov.airu2026-07-11T09:00:30.518477+00:00TRACE представляет двухканальный устойчивый водяной знак атрибуции для траекторий LLM-агентов https://korshunov.ai/es/article/11009-trace-introduce-una-marca-de-agua-robusta-de-atribucion-de-dos-canales-para-de/korshunov.aies2026-07-11T09:00:30.518477+00:00TRACE introduce una marca de agua robusta de atribución de dos canales para trayectorias de agentes LLM https://korshunov.ai/pt-br/article/11009-trace-introduz-uma-marca-d-agua-robusta-de-atribuicao-de-dois-canais-para-de-llm/korshunov.aipt2026-07-11T09:00:30.518477+00:00TRACE introduz uma marca d'água robusta de atribuição de dois canais para trajetórias de agentes LLM https://korshunov.ai/hi/article/11009-trace-ne-llm-ejentt-ttraajekttriij-ke-lie-do-cainl-robstt-attribyuushn-pesh/korshunov.aihi2026-07-11T09:00:30.518477+00:00TRACE ने LLM-एजेंट ट्राजेक्ट्रीज़ के लिए दो-चैनल रोबस्ट अट्रिब्यूशन वाटरमार्क पेश किया https://korshunov.ai/ja/article/11009-tracehallme-shientonogui-ji-nidui-suru2chiyanerunojian-lao-nagui-shu-yong-tou-ru/korshunov.aija2026-07-11T09:00:30.518477+00:00TRACEはLLMエージェントの軌跡に対する2チャネルの堅牢な帰属用透かしを導入 https://korshunov.ai/ko/article/11009-traceneun-llm-eijeonteu-gwejeoge-daehan-2caeneol-gyeongohan-gwisog-doib/korshunov.aiko2026-07-11T09:00:30.518477+00:00TRACE는 LLM 에이전트 궤적에 대한 2채널 견고한 귀속 워터마크를 도입 https://korshunov.ai/fr/article/11009-trace-introduit-un-filigrane-d-attribution-robuste-a-deux-canaux-pour-les-d-llm/korshunov.aifr2026-07-11T09:00:30.518477+00:00TRACE introduit un filigrane d'attribution robuste à deux canaux pour les trajectoires d'agents LLM https://korshunov.ai/id/article/11009-trace-memperkenalkan-watermark-atribusi-dua-saluran-yang-robust-untuk-lintasan/korshunov.aiid2026-07-11T09:00:30.518477+00:00TRACE memperkenalkan watermark atribusi dua-saluran yang robust untuk lintasan agen LLM https://korshunov.ai/ar/article/11009-tqdm-trace-lm-myy-qwy-dht-qn-mzdwj-llnsb-lmsrt-wkl-llm/korshunov.aiar2026-07-11T09:00:30.518477+00:00تقدم TRACE علامة مائية قوية ذات قناة مزدوجة للنسب لمسارات وكلاء LLM https://korshunov.ai/en/article/11008-egy-drives-uses-roop-face-swapping-to-preserve-pedestrian-privacy-and-data/korshunov.aien2026-07-11T08:50:57.378609+00:00Egy-DRiVeS uses Roop face-swapping to preserve pedestrian privacy and data usability https://korshunov.ai/ru/article/11008-egy-drives-ispolzuet-roop-dlia-zameny-lits-s-tseliu-sokhraneniia-peshekhodov-i/korshunov.airu2026-07-11T08:50:57.378609+00:00Egy-DRiVeS использует Roop для замены лиц с целью сохранения конфиденциальности пешеходов и полезности данных https://korshunov.ai/es/article/11008-egy-drives-utiliza-el-intercambio-de-rostros-de-roop-para-preservar-la-del-y-la/korshunov.aies2026-07-11T08:50:57.378609+00:00Egy-DRiVeS utiliza el intercambio de rostros de Roop para preservar la privacidad del peatón y la utilidad de los datos https://korshunov.ai/zh-hans/article/11008-egy-drives-shi-yong-roop-ren-lian-jiao-huan-ji-zhu-yi-bao-hu-xing-ren-yin-si-bao/korshunov.aizh-cn2026-07-11T08:50:57.378609+00:00Egy-DRiVeS 使用 Roop 人脸交换技术以保护行人隐私并保留数据可用性 https://korshunov.ai/pt-br/article/11008-egy-drives-usa-troca-de-rostos-do-roop-para-preservar-a-privacidade-do-pedestre/korshunov.aipt2026-07-11T08:50:57.378609+00:00Egy-DRiVeS usa troca de rostos do Roop para preservar a privacidade do pedestre e a utilidade dos dados https://korshunov.ai/hi/article/11008-egy-drives-pdcaarii-gopniiytaa-aur-ddettaa-upyogitaa-ko-bnaae-rkhne-ke-lie-roop/korshunov.aihi2026-07-11T08:50:57.378609+00:00Egy-DRiVeS पदचारी गोपनीयता और डेटा उपयोगिता को बनाए रखने के लिए Roop फेस-स्वैपिंग का उपयोग करता है https://korshunov.ai/ja/article/11008-egy-drivesharoopnoyan-ru-reti-ewoyong-itebu-xing-zhe-nohuraihashi-tote-tanoyou/korshunov.aija2026-07-11T08:50:57.378609+00:00Egy-DRiVeSはRoopの顔入れ替えを用いて歩行者のプライバシーとデータの有用性を維持する https://korshunov.ai/ko/article/11008-egy-drivesneun-bohaengja-peuraibeosiwa-deiteo-hwalyongseongeul-bojonhagi-wihae/korshunov.aiko2026-07-11T08:50:57.378609+00:00Egy-DRiVeS는 보행자 프라이버시와 데이터 활용성을 보존하기 위해 Roop 얼굴 교체를 사용함 https://korshunov.ai/fr/article/11008-egy-drives-utilise-roop-pour-l-echange-de-visages-afin-de-preserver-la-vie-des-l/korshunov.aifr2026-07-11T08:50:57.378609+00:00Egy-DRiVeS utilise Roop pour l'échange de visages afin de préserver la vie privée des piétons et l'utilisabilité des données https://korshunov.ai/id/article/11008-egy-drives-menggunakan-roop-face-swapping-untuk-melestarikan-privasi-pejalan-dan/korshunov.aiid2026-07-11T08:50:57.378609+00:00Egy-DRiVeS menggunakan Roop face-swapping untuk melestarikan privasi pejalan kaki dan kegunaan data https://korshunov.ai/ar/article/11008-ystkhdm-egy-drives-tqny-tbdyl-lwjwh-br-roop-llhfz-l-khswsy-lmsh-wqbly-stkhdm/korshunov.aiar2026-07-11T08:50:57.378609+00:00يستخدم Egy-DRiVeS تقنية تبديل الوجوه عبر Roop للحفاظ على خصوصية المشاة وقابلية استخدام البيانات https://korshunov.ai/en/article/11007-g-frame-framework-trains-omnichem-7b-with-79-fewer-hallucinations/korshunov.aien2026-07-11T08:36:25.163511+00:00G-Frame framework trains OmniChem 7B with 79% fewer hallucinations https://korshunov.ai/ru/article/11007-freimvork-g-frame-obuchaet-omnichem-7b-s-na-79-menshim-kolichestvom/korshunov.airu2026-07-11T08:36:25.163511+00:00Фреймворк G-Frame обучает OmniChem 7B с на 79% меньшим количеством галлюцинаций https://korshunov.ai/es/article/11007-el-framework-g-frame-entrena-omnichem-7b-con-un-79-menos-de-alucinaciones/korshunov.aies2026-07-11T08:36:25.163511+00:00El framework G-Frame entrena OmniChem 7B con un 79% menos de alucinaciones https://korshunov.ai/zh-hans/article/11007-g-frame-kuang-jia-xun-lian-omnichem-7b-huan-jue-jian-shao-79/korshunov.aizh-cn2026-07-11T08:36:25.163511+00:00G-Frame 框架训练 OmniChem 7B，幻觉减少 79% https://korshunov.ai/pt-br/article/11007-framework-g-frame-treina-omnichem-7b-com-79-menos-alucinacoes/korshunov.aipt2026-07-11T08:36:25.163511+00:00Framework G-Frame treina OmniChem 7B com 79% menos alucinações https://korshunov.ai/hi/article/11007-g-frame-phremvrk-omnichem-7b-ko-79-km-hailyusineshn-ke-saath-prshikssit-krtaa/korshunov.aihi2026-07-11T08:36:25.163511+00:00G-Frame फ्रेमवर्क OmniChem 7B को 79% कम हैल्युसिनेशन के साथ प्रशिक्षित करता है https://korshunov.ai/ja/article/11007-g-framehure-muwa-kukaomnichem-7bnohuan-jue-wo79-xue-jian-shitexun-lian/korshunov.aija2026-07-11T08:36:25.163511+00:00G-FrameフレームワークがOmniChem 7Bの幻覚を79%削減して訓練 https://korshunov.ai/ko/article/11007-g-frame-peureimweokeuga-omnichem-7byi-hwangageul-79-julyeo-hagseub/korshunov.aiko2026-07-11T08:36:25.163511+00:00G-Frame 프레임워크가 OmniChem 7B의 환각을 79% 줄여 학습 https://korshunov.ai/fr/article/11007-le-framework-g-frame-entraine-omnichem-7b-avec-79-de-moins-d-hallucinations/korshunov.aifr2026-07-11T08:36:25.163511+00:00Le framework G-Frame entraîne OmniChem 7B avec 79 % de moins d'hallucinations https://korshunov.ai/id/article/11007-kerangka-kerja-g-frame-melatih-omnichem-7b-dengan-79-halusinasi-lebih-sedikit/korshunov.aiid2026-07-11T08:36:25.163511+00:00Kerangka kerja G-Frame melatih OmniChem 7B dengan 79% halusinasi lebih sedikit https://korshunov.ai/ar/article/11007-tr-ml-g-frame-ydrb-omnichem-7b-m-tqlyl-lhlws-bnsb-79/korshunov.aiar2026-07-11T08:36:25.163511+00:00إطار عمل G-Frame يدرب OmniChem 7B مع تقليل الهلوسة بنسبة 79% https://korshunov.ai/en/article/10903-druggen-2-disease-aware-language-model-enhances-drug-discovery/korshunov.aien2026-07-11T08:28:24.510510+00:00DrugGen 2: disease-aware language model enhances drug discovery https://korshunov.ai/ru/article/10903-druggen-2-iazykovaia-model-uchityvaiushchaia-zabolevaniia-uskoriaet-otkrytie/korshunov.airu2026-07-11T08:28:24.510510+00:00DrugGen 2: языковая модель, учитывающая заболевания, ускоряет открытие лекарств https://korshunov.ai/es/article/10903-druggen-2-un-modelo-de-lenguaje-consciente-de-enfermedades-mejora-el-de-farmacos/korshunov.aies2026-07-11T08:28:24.510510+00:00DrugGen 2: un modelo de lenguaje consciente de enfermedades mejora el descubrimiento de fármacos https://korshunov.ai/zh-hans/article/10903-druggen-2-ji-bing-gan-zhi-yu-yan-mo-xing-zeng-qiang-yao-wu-fa-xian/korshunov.aizh-cn2026-07-11T08:28:24.510510+00:00DrugGen 2：疾病感知语言模型增强药物发现 https://korshunov.ai/pt-br/article/10903-druggen-2-modelo-de-linguagem-consciente-de-doencas-aprimora-a-descoberta-de/korshunov.aipt2026-07-11T08:28:24.510510+00:00DrugGen 2: modelo de linguagem consciente de doenças aprimora a descoberta de medicamentos https://korshunov.ai/hi/article/10903-druggen-2-rog-jaagruuk-bhaassaa-monddl-dvaa-khoj-ko-bddhaavaa-detaa-hai/korshunov.aihi2026-07-11T08:28:24.510510+00:00DrugGen 2: रोग-जागरूक भाषा मॉडल दवा खोज को बढ़ावा देता है https://korshunov.ai/ja/article/10903-druggen-2-ji-huan-ren-shi-xing-yan-yu-moterukachuang-yao-woqiang-hua/korshunov.aija2026-07-11T08:28:24.510510+00:00DrugGen 2: 疾患認識型言語モデルが創薬を強化 https://korshunov.ai/ko/article/10903-druggen-2-jilbyeong-insig-eoneo-modeli-yagmul-balgyeoneul-ganghwahada/korshunov.aiko2026-07-11T08:28:24.510510+00:00DrugGen 2: 질병 인식 언어 모델이 약물 발견을 강화하다 https://korshunov.ai/fr/article/10903-druggen-2-un-modele-de-langage-conscient-des-maladies-ameliore-la-decouverte-de/korshunov.aifr2026-07-11T08:28:24.510510+00:00DrugGen 2 : un modèle de langage conscient des maladies améliore la découverte de médicaments https://korshunov.ai/id/article/10903-druggen-2-model-bahasa-yang-sadar-penyakit-meningkatkan-penemuan-obat/korshunov.aiid2026-07-11T08:28:24.510510+00:00DrugGen 2: model bahasa yang sadar penyakit meningkatkan penemuan obat https://korshunov.ai/ar/article/10903-druggen-2-nmwdhj-lgwy-w-in-blmrd-y-zz-ktshf-ldwy/korshunov.aiar2026-07-11T08:28:24.510510+00:00DrugGen 2: نموذج لغوي واعٍ بالأمراض يعزز اكتشاف الأدوية https://korshunov.ai/hi/article/11103-do-caitt-api-onrekls-ke-maadhym-se-bnd-srot-llm-ttoknaaijr-kii-punrnirmaann-kaa/korshunov.aihi2026-07-11T08:18:21.480883+00:00दो चैट API ऑरेकल्स के माध्यम से बंद-स्रोत LLM टोकनाइज़र की पुनर्निर्माण का प्रस्ताव https://korshunov.ai/en/article/11103-proposing-reconstruction-of-closed-source-llm-tokenizers-via-two-chat-api/korshunov.aien2026-07-11T08:18:21.480883+00:00Proposing reconstruction of closed-source LLM tokenizers via two chat API oracles https://korshunov.ai/ru/article/11103-predlozhenie-po-vosstanovleniiu-tokenizatorov-zakrytykh-llm-s-pomoshchiu-dvukh/korshunov.airu2026-07-11T08:18:21.480883+00:00Предложение по восстановлению токенизаторов закрытых LLM с помощью двух оракулов чат-API https://korshunov.ai/es/article/11103-propuesta-de-reconstruccion-de-tokenizers-de-llm-de-codigo-cerrado-mediante-dos/korshunov.aies2026-07-11T08:18:21.480883+00:00Propuesta de reconstrucción de tokenizers de LLM de código cerrado mediante dos oráculos de API de chat https://korshunov.ai/zh-hans/article/11103-ti-chu-tong-guo-liang-ge-liao-tian-apiyu-yan-ji-zhong-jian-bi-yuan-llmfen-ci-qi/korshunov.aizh-cn2026-07-11T08:18:21.480883+00:00提出通过两个聊天API预言机重建闭源LLM分词器 https://korshunov.ai/pt-br/article/11103-proposta-de-reconstrucao-de-tokenizers-de-llm-de-codigo-fechado-por-meio-de-dois/korshunov.aipt2026-07-11T08:18:21.480883+00:00Proposta de reconstrução de tokenizers de LLM de código fechado por meio de dois oráculos de API de chat https://korshunov.ai/ja/article/11103-2tsunochiyatsutoapiorakuruniyorukuro-sutoso-sullmto-kunaisa-nozai-gou-zhu-woti/korshunov.aija2026-07-11T08:18:21.480883+00:002つのチャットAPIオラクルによるクローズドソースLLMトークナイザーの再構築を提案 https://korshunov.ai/ko/article/11103-du-gaeyi-caeting-api-orakeuleul-tonghan-pyeswaehyeong-llm-tokeunaijeo-jaeguseong/korshunov.aiko2026-07-11T08:18:21.480883+00:00두 개의 채팅 API 오라클을 통한 폐쇄형 LLM 토크나이저 재구성 제안 https://korshunov.ai/fr/article/11103-proposition-de-reconstruction-de-tokenizers-llm-a-code-ferme-via-deux-oracles-d/korshunov.aifr2026-07-11T08:18:21.480883+00:00Proposition de reconstruction de tokenizers LLM à code fermé via deux oracles d'API de chat https://korshunov.ai/id/article/11103-mengusulkan-rekonstruksi-tokenizer-llm-closed-source-melalui-dua-oracle-api-chat/korshunov.aiid2026-07-11T08:18:21.480883+00:00Mengusulkan rekonstruksi tokenizer LLM closed-source melalui dua oracle API chat https://korshunov.ai/ar/article/11103-qtrh-d-bn-mqswmt-lrmwz-tokenizers-lnmdhj-llgt-lkbyr-lmglq-lmsdr-br-myzwyn-lwjh/korshunov.aiar2026-07-11T08:18:21.480883+00:00اقتراح إعادة بناء مقسّمات الرموز (tokenizers) لنماذج اللغات الكبيرة المغلقة المصدر عبر ميزّين (oracles) لواجهة محادثة https://korshunov.ai/en/article/11104-llama-cpp-b9959-release-syncs-ggml-and-provides-binaries-for-macos-linux-windows/korshunov.aien2026-07-11T08:10:21.819867+00:00llama.cpp b9959 release syncs ggml and provides binaries for macOS, Linux, Windows, Android https://korshunov.ai/ru/article/11104-llama-cpp-b9959-sinkhronizatsiia-ggml-i-binarnye-faily-dlia-macos-linux-windows/korshunov.airu2026-07-11T08:10:21.819867+00:00llama.cpp b9959: синхронизация ggml и бинарные файлы для macOS, Linux, Windows, Android https://korshunov.ai/es/article/11104-llama-cpp-b9959-sincroniza-ggml-y-proporciona-binarios-para-macos-linux-windows/korshunov.aies2026-07-11T08:10:21.819867+00:00llama.cpp b9959 sincroniza ggml y proporciona binarios para macOS, Linux, Windows, Android https://korshunov.ai/zh-hans/article/11104-llama-cpp-b9959-tong-bu-ggml-bing-ti-gong-macos-linux-windows-android-de-er-jin/korshunov.aizh-cn2026-07-11T08:10:21.819867+00:00llama.cpp b9959 同步 ggml 并提供 macOS、Linux、Windows、Android 的二进制文件 https://korshunov.ai/pt-br/article/11104-llama-cpp-b9959-sincroniza-ggml-e-fornece-binarios-para-macos-linux-windows/korshunov.aipt2026-07-11T08:10:21.819867+00:00llama.cpp b9959 sincroniza ggml e fornece binários para macOS, Linux, Windows, Android https://korshunov.ai/hi/article/11104-llama-cpp-b9959-ne-ggml-ko-sink-kiyaa-aur-macos-linux-windows-android-ke-lie-kii/korshunov.aihi2026-07-11T08:10:21.819867+00:00llama.cpp b9959 ने ggml को सिंक किया और macOS, Linux, Windows, Android के लिए बाइनरी प्रदान की https://korshunov.ai/ja/article/11104-llama-cpp-b9959-riri-sute-ggml-totong-qi-shi-macos-linux-windows-android-gong/korshunov.aija2026-07-11T08:10:21.819867+00:00llama.cpp b9959 リリースで ggml と同期し、macOS、Linux、Windows、Android のバイナリを提供 https://korshunov.ai/ko/article/11104-llama-cpp-b9959-rilriseuneun-ggml-gwa-donggihwadoemyeo-macos-linux-windows-e/korshunov.aiko2026-07-11T08:10:21.819867+00:00llama.cpp b9959 릴리스는 ggml 과 동기화되며 macOS, Linux, Windows, Android 에 대한 바이너리를 제공합니다 https://korshunov.ai/fr/article/11104-la-release-b9959-de-llama-cpp-synchronise-ggml-et-fournit-des-binaires-pour/korshunov.aifr2026-07-11T08:10:21.819867+00:00La release b9959 de llama.cpp synchronise ggml et fournit des binaires pour macOS, Linux, Windows, Android https://korshunov.ai/id/article/11104-rilis-b9959-llama-cpp-menyinkronisasi-ggml-dan-menyediakan-biner-untuk-macos/korshunov.aiid2026-07-11T08:10:21.819867+00:00Rilis b9959 llama.cpp menyinkronisasi ggml dan menyediakan biner untuk macOS, Linux, Windows, Android https://korshunov.ai/ar/article/11104-sdr-b9959-mn-llama-cpp-yzmn-ggml-wywfr-thnyyt-l-macos-w-linux-w-windows-w/korshunov.aiar2026-07-11T08:10:21.819867+00:00إصدار b9959 من llama.cpp يزامن ggml ويوفر ثنائيات لـ macOS و Linux و Windows و Android https://korshunov.ai/hi/article/11006-druggen-2-rog-jaagruuk-monddl-dvaa-khoj-ko-bddhaavaa-detaa-hai/korshunov.aihi2026-07-11T08:00:26.996948+00:00DrugGen 2: रोग-जागरूक मॉडल दवा खोज को बढ़ावा देता है https://korshunov.ai/en/article/11006-druggen-2-disease-aware-model-enhances-drug-discovery/korshunov.aien2026-07-11T08:00:26.996948+00:00DrugGen 2: Disease-aware model enhances drug discovery https://korshunov.ai/ru/article/11006-druggen-2-model-s-uchetom-zabolevanii-uluchshaet-otkrytie-lekarstv/korshunov.airu2026-07-11T08:00:26.996948+00:00DrugGen 2: Модель с учётом заболеваний улучшает открытие лекарств https://korshunov.ai/es/article/11006-druggen-2-el-modelo-consciente-de-la-enfermedad-mejora-el-descubrimiento-de/korshunov.aies2026-07-11T08:00:26.996948+00:00DrugGen 2: El modelo consciente de la enfermedad mejora el descubrimiento de fármacos https://korshunov.ai/zh-hans/article/11006-druggen-2-ji-bing-gan-zhi-mo-xing-zeng-qiang-yao-wu-fa-xian/korshunov.aizh-cn2026-07-11T08:00:26.996948+00:00DrugGen 2：疾病感知模型增强药物发现 https://korshunov.ai/pt-br/article/11006-druggen-2-modelo-ciente-da-doenca-aprimora-a-descoberta-de-medicamentos/korshunov.aipt2026-07-11T08:00:26.996948+00:00DrugGen 2: Modelo ciente da doença aprimora a descoberta de medicamentos https://korshunov.ai/ja/article/11006-druggen-2-ji-huan-ren-shi-moterukachuang-yao-woqiang-hua/korshunov.aija2026-07-11T08:00:26.996948+00:00DrugGen 2: 疾患認識モデルが創薬を強化 https://korshunov.ai/ko/article/11006-druggen-2-jilbyeong-insig-modeli-sinyag-gaebaleul-hyangsangsikibnida/korshunov.aiko2026-07-11T08:00:26.996948+00:00DrugGen 2: 질병 인식 모델이 신약 개발을 향상시킵니다 https://korshunov.ai/fr/article/11006-druggen-2-un-modele-conscient-des-maladies-ameliore-la-decouverte-de-medicaments/korshunov.aifr2026-07-11T08:00:26.996948+00:00DrugGen 2 : Un modèle conscient des maladies améliore la découverte de médicaments https://korshunov.ai/id/article/11006-druggen-2-model-sadar-penyakit-meningkatkan-penemuan-obat/korshunov.aiid2026-07-11T08:00:26.996948+00:00DrugGen 2: Model sadar penyakit meningkatkan penemuan obat https://korshunov.ai/ar/article/11006-druggen-2-nmwdhj-w-in-blmrd-y-zz-ktshf-ldwy/korshunov.aiar2026-07-11T08:00:26.996948+00:00DrugGen 2: نموذج واعٍ بالأمراض يعزز اكتشاف الأدوية https://korshunov.ai/en/article/10902-monte-carlo-method-trains-deep-neural-networks-without-backpropagation/korshunov.aien2026-07-11T07:51:54.635988+00:00Monte Carlo method trains deep neural networks without backpropagation https://korshunov.ai/ru/article/10902-metod-monte-karlo-obuchaet-glubokie-neironnye-seti-bez-obratnogo/korshunov.airu2026-07-11T07:51:54.635988+00:00Метод Монте-Карло обучает глубокие нейронные сети без обратного распространения https://korshunov.ai/es/article/10902-el-metodo-de-monte-carlo-entrena-redes-neuronales-profundas-sin-retropropagacion/korshunov.aies2026-07-11T07:51:54.635988+00:00El método de Monte Carlo entrena redes neuronales profundas sin retropropagación https://korshunov.ai/zh-hans/article/10902-meng-te-qia-luo-fang-fa-wu-xu-fan-xiang-chuan-bo-ji-ke-xun-lian-shen-du-shen-luo/korshunov.aizh-cn2026-07-11T07:51:54.635988+00:00蒙特卡洛方法无需反向传播即可训练深度神经网络 https://korshunov.ai/pt-br/article/10902-metodo-de-monte-carlo-treina-redes-neurais-profundas-sem-retropropagacao/korshunov.aipt2026-07-11T07:51:54.635988+00:00Método de Monte Carlo treina redes neurais profundas sem retropropagação https://korshunov.ai/hi/article/10902-montte-kaarlo-vidhi-baikpropgeshn-ke-binaa-ghrii-tntrikaa-nettvrkon-ko-krtii-hai/korshunov.aihi2026-07-11T07:51:54.635988+00:00मोंटे कार्लो विधि बैकप्रोपगेशन के बिना गहरी तंत्रिका नेटवर्कों को प्रशिक्षित करती है https://korshunov.ai/ja/article/10902-montekarurofa-niyoruni-chuan-bo-nashinoshen-ceng-niyu-rarunetsutowa-kunoxun-lian/korshunov.aija2026-07-11T07:51:54.635988+00:00モンテカルロ法による逆伝播なしの深層ニューラルネットワークの訓練 https://korshunov.ai/ko/article/10902-yeogjeonpa-eobsi-montekareulro-bangbeobeuro-simceung-singyeongmang-hunryeon/korshunov.aiko2026-07-11T07:51:54.635988+00:00역전파 없이 몬테카를로 방법으로 심층 신경망 훈련 https://korshunov.ai/fr/article/10902-la-methode-de-monte-carlo-entraine-des-reseaux-neuronaux-profonds-sans/korshunov.aifr2026-07-11T07:51:54.635988+00:00La méthode de Monte-Carlo entraîne des réseaux neuronaux profonds sans rétropropagation https://korshunov.ai/id/article/10902-metode-monte-carlo-melatih-jaringan-saraf-dalam-tanpa-backpropagation/korshunov.aiid2026-07-11T07:51:54.635988+00:00Metode Monte Carlo melatih jaringan saraf dalam tanpa backpropagation https://korshunov.ai/ar/article/10902-tryq-mwnt-krlw-tdrb-lshbkt-l-sby-l-myq-bdwn-ntshr-ksy/korshunov.aiar2026-07-11T07:51:54.635988+00:00طريقة مونت كارلو تدرب الشبكات العصبية العميقة بدون انتشار عكسي https://korshunov.ai/en/article/11005-track2map-online-deformable-slam-for-robotic-surgery/korshunov.aien2026-07-11T07:44:18.991146+00:00Track2Map: online deformable SLAM for robotic surgery https://korshunov.ai/ru/article/11005-track2map-onlain-deformiruemyi-slam-dlia-robotizirovannoi-khirurgii/korshunov.airu2026-07-11T07:44:18.991146+00:00Track2Map: онлайн деформируемый SLAM для роботизированной хирургии https://korshunov.ai/es/article/11005-track2map-slam-deformable-en-linea-para-cirugia-robotica/korshunov.aies2026-07-11T07:44:18.991146+00:00Track2Map: SLAM deformable en línea para cirugía robótica https://korshunov.ai/zh-hans/article/11005-track2map-yong-yu-ji-qi-ren-shou-zhu-de-zai-xian-ke-bian-xing-slam/korshunov.aizh-cn2026-07-11T07:44:18.991146+00:00Track2Map：用于机器人手术的在线可变形SLAM https://korshunov.ai/pt-br/article/11005-track2map-slam-deformavel-online-para-cirurgia-robotica/korshunov.aipt2026-07-11T07:44:18.991146+00:00Track2Map: SLAM deformável online para cirurgia robótica https://korshunov.ai/hi/article/11005-track2map-robottik-srjrii-ke-lie-onnlaain-ddiphonrmibl-slam/korshunov.aihi2026-07-11T07:44:18.991146+00:00Track2Map: रोबोटिक सर्जरी के लिए ऑनलाइन डिफॉर्मिबल SLAM https://korshunov.ai/ja/article/11005-track2map-rohotsutoshou-shu-notamenoonrainbian-xing-slam/korshunov.aija2026-07-11T07:44:18.991146+00:00Track2Map: ロボット手術のためのオンライン変形SLAM https://korshunov.ai/ko/article/11005-track2map-robos-susuleul-wihan-onrain-byeonhyeong-slam/korshunov.aiko2026-07-11T07:44:18.991146+00:00Track2Map: 로봇 수술을 위한 온라인 변형 SLAM https://korshunov.ai/fr/article/11005-track2map-slam-deformable-en-ligne-pour-la-chirurgie-robotique/korshunov.aifr2026-07-11T07:44:18.991146+00:00Track2Map : SLAM déformable en ligne pour la chirurgie robotique https://korshunov.ai/id/article/11005-track2map-slam-deformabel-online-untuk-bedah-robotik/korshunov.aiid2026-07-11T07:44:18.991146+00:00Track2Map: SLAM deformabel online untuk bedah robotik https://korshunov.ai/ar/article/11005-track2map-nzm-slam-qbl-lltshgyl-br-lntrnt-lljrh-lrwbwty/korshunov.aiar2026-07-11T07:44:18.991146+00:00Track2Map: نظام SLAM قابل للتشغيل عبر الإنترنت للجراحة الروبوتية https://korshunov.ai/en/article/11004-grpo-reduces-wer-by-40-on-synthetic-only-asr-adaptation/korshunov.aien2026-07-11T07:37:32.094553+00:00GRPO reduces WER by 40% on synthetic-only ASR adaptation https://korshunov.ai/ru/article/11004-grpo-snizhaet-wer-na-40-pri-adaptatsii-asr-tolko-na-sinteticheskikh-dannykh/korshunov.airu2026-07-11T07:37:32.094553+00:00GRPO снижает WER на 40% при адаптации ASR только на синтетических данных https://korshunov.ai/es/article/11004-grpo-reduce-el-wer-en-un-40-en-la-adaptacion-de-asr-solo-con-datos-sinteticos/korshunov.aies2026-07-11T07:37:32.094553+00:00GRPO reduce el WER en un 40% en la adaptación de ASR solo con datos sintéticos https://korshunov.ai/zh-hans/article/11004-grpo-zai-jin-he-cheng-shu-ju-de-asr-gua-pei-zhong-jiang-wer-jiang-di-40/korshunov.aizh-cn2026-07-11T07:37:32.094553+00:00GRPO 在仅合成数据的 ASR 适配中将 WER 降低 40% https://korshunov.ai/pt-br/article/11004-grpo-reduz-o-wer-em-40-na-adaptacao-de-asr-apenas-com-dados-sinteticos/korshunov.aipt2026-07-11T07:37:32.094553+00:00GRPO reduz o WER em 40% na adaptação de ASR apenas com dados sintéticos https://korshunov.ai/hi/article/11004-grpo-ne-kevl-synthetic-ddettaa-pr-asr-anukuuln-men-wer-ko-40-km-kiyaa/korshunov.aihi2026-07-11T07:37:32.094553+00:00GRPO ने केवल synthetic डेटा पर ASR अनुकूलन में WER को 40% कम किया https://korshunov.ai/ja/article/11004-grpohahe-cheng-nomiasrshi-ying-tewerwo40-xue-jian/korshunov.aija2026-07-11T07:37:32.094553+00:00GRPOは合成のみASR適応でWERを40%削減 https://korshunov.ai/ko/article/11004-grponeun-habseong-jeonyong-asr-jeogeungeseo-wereul-40-gamsosikim/korshunov.aiko2026-07-11T07:37:32.094553+00:00GRPO는 합성 전용 ASR 적응에서 WER을 40% 감소시킴 https://korshunov.ai/fr/article/11004-grpo-reduit-le-wer-de-40-sur-l-adaptation-asr-uniquement-synthetique/korshunov.aifr2026-07-11T07:37:32.094553+00:00GRPO réduit le WER de 40% sur l'adaptation ASR uniquement synthétique https://korshunov.ai/id/article/11004-grpo-mengurangi-wer-sebesar-40-pada-adaptasi-asr-hanya-sintetis/korshunov.aiid2026-07-11T07:37:32.094553+00:00GRPO mengurangi WER sebesar 40% pada adaptasi ASR hanya sintetis https://korshunov.ai/ar/article/11004-grpo-yqll-wer-bnsb-40-fy-tkyf-asr-lm-tmd-l-lbynt-lstn-y-fqt/korshunov.aiar2026-07-11T07:37:32.094553+00:00GRPO يقلل WER بنسبة 40% في تكيف ASR المعتمد على البيانات الاصطناعية فقط https://korshunov.ai/en/article/11003-omnifood-bench-evaluates-vlms-on-nutrient-reasoning-and-personalized-health/korshunov.aien2026-07-11T07:29:00.560732+00:00OmniFood-Bench evaluates VLMs on nutrient reasoning and personalized health advice https://korshunov.ai/ru/article/11003-omnifood-bench-otsenivaet-vlm-po-rassuzhdeniiam-o-pitatelnykh-veshchestvakh-i-po/korshunov.airu2026-07-11T07:29:00.560732+00:00OmniFood-Bench оценивает VLM по рассуждениям о питательных веществах и персонализированным рекомендациям по здоровью https://korshunov.ai/es/article/11003-omnifood-bench-evalua-vlm-en-razonamiento-nutricional-y-asesoramiento-de-salud/korshunov.aies2026-07-11T07:29:00.560732+00:00OmniFood-Bench evalúa VLM en razonamiento nutricional y asesoramiento de salud personalizado https://korshunov.ai/zh-hans/article/11003-omnifood-benchping-gu-vlmzai-ying-yang-tui-li-he-ge-xing-hua-jian-kang-jian-yi/korshunov.aizh-cn2026-07-11T07:29:00.560732+00:00OmniFood-Bench评估VLM在营养推理和个性化健康建议方面的表现 https://korshunov.ai/pt-br/article/11003-omnifood-bench-avalia-vlms-em-raciocinio-nutricional-e-aconselhamento-de-saude/korshunov.aipt2026-07-11T07:29:00.560732+00:00OmniFood-Bench avalia VLMs em raciocínio nutricional e aconselhamento de saúde personalizado https://korshunov.ai/hi/article/11003-omnifood-bench-possnn-trk-aur-vyktigt-svaasthy-slaah-pr-vlms-kaa-muulyaankn-hai/korshunov.aihi2026-07-11T07:29:00.560732+00:00OmniFood-Bench पोषण तर्क और व्यक्तिगत स्वास्थ्य सलाह पर VLMs का मूल्यांकन करता है https://korshunov.ai/ja/article/11003-omnifood-benchha-rong-yang-tui-lun-toge-bie-hua-jian-kang-jia-woxing-u/korshunov.aija2026-07-11T07:29:00.560732+00:00OmniFood-Benchは、栄養推論と個別化健康アドバイスにおけるVLMの評価を行う https://korshunov.ai/ko/article/11003-omnifood-benchneun-yeongyang-curon-mic-gaeinhwa-geongang-joeone-daehan-vlm/korshunov.aiko2026-07-11T07:29:00.560732+00:00OmniFood-Bench는 영양 추론 및 개인화 건강 조언에 대한 VLM 평가 https://korshunov.ai/fr/article/11003-omnifood-bench-evalue-les-vlm-sur-le-raisonnement-nutritionnel-et-les-conseils/korshunov.aifr2026-07-11T07:29:00.560732+00:00OmniFood-Bench évalue les VLM sur le raisonnement nutritionnel et les conseils de santé personnalisés https://korshunov.ai/id/article/11003-omnifood-bench-mengevaluasi-vlm-pada-penalaran-nutrisi-dan-saran-kesehatan/korshunov.aiid2026-07-11T07:29:00.560732+00:00OmniFood-Bench mengevaluasi VLM pada penalaran nutrisi dan saran kesehatan personal https://korshunov.ai/ar/article/11003-yqym-omnifood-bench-nmdhj-vlm-fy-lstd-lgdhyy-wlnsyh-lshy-lshkhsy/korshunov.aiar2026-07-11T07:29:00.560732+00:00يقيم OmniFood-Bench نماذج VLM في الاستدعاء الغذائي والنصائح الصحية الشخصية https://korshunov.ai/en/article/10901-fpgn-framework-enables-ultra-fast-programmable-gate-based-neural-acceleration/korshunov.aien2026-07-11T07:19:40.058563+00:00FPGN framework enables ultra-fast programmable gate-based neural acceleration with differentiable LUTs https://korshunov.ai/ru/article/10901-freimvork-fpgn-obespechivaet-sverkhbystroe-programmiruemoe-neironnoe-uskorenie-s/korshunov.airu2026-07-11T07:19:40.058563+00:00Фреймворк FPGN обеспечивает сверхбыстрое программируемое нейронное ускорение на основе логических элементов с дифференцируемыми LUT https://korshunov.ai/es/article/10901-el-marco-fpgn-permite-aceleracion-neuronal-programable-ultra-rapida-basada-en/korshunov.aies2026-07-11T07:19:40.058563+00:00El marco FPGN permite aceleración neuronal programable ultra-rápida basada en puertas con LUTs diferenciables https://korshunov.ai/zh-hans/article/10901-fpgnkuang-jia-tong-guo-ke-wei-lutshi-xian-chao-kuai-ke-bian-cheng-men-kong-shen/korshunov.aizh-cn2026-07-11T07:19:40.058563+00:00FPGN框架通过可微LUT实现超快可编程门控神经加速 https://korshunov.ai/pt-br/article/10901-framework-fpgn-permite-aceleracao-neural-programavel-ultra-rapida-baseada-em-com/korshunov.aipt2026-07-11T07:19:40.058563+00:00Framework FPGN permite aceleração neural programável ultra-rápida baseada em portas com LUTs diferenciáveis https://korshunov.ai/hi/article/10901-fpgn-ddhaancaa-vibhedy-luts-ke-saath-alttraa-phaastt-prograamebl-gett-aadhaarit/korshunov.aihi2026-07-11T07:19:40.058563+00:00FPGN ढांचा विभेद्य LUTs के साथ अल्ट्रा-फास्ट प्रोग्रामेबल गेट-आधारित तंत्रिका त्वरण को सक्षम बनाता है https://korshunov.ai/ja/article/10901-fpgnhure-muwa-kuhawei-fen-ke-neng-lutwoyong-itachao-gao-su-hurokuramuke-neng-su/korshunov.aija2026-07-11T07:19:40.058563+00:00FPGNフレームワークは微分可能LUTを用いた超高速プログラム可能なゲートベースニューラル加速を実現 https://korshunov.ai/ko/article/10901-fpgn-peureimweokeuneun-mibun-ganeunghan-lutreul-tonghan-cogosog-geiteu-giban-ham/korshunov.aiko2026-07-11T07:19:40.058563+00:00FPGN 프레임워크는 미분 가능한 LUT를 통한 초고속 프로그래머블 게이트 기반 신경 가속을 가능하게 함 https://korshunov.ai/fr/article/10901-le-cadre-fpgn-permet-une-acceleration-neuronale-ultra-rapide-basee-sur-des-avec/korshunov.aifr2026-07-11T07:19:40.058563+00:00Le cadre FPGN permet une accélération neuronale ultra-rapide basée sur des portes programmables avec des LUT différentiables https://korshunov.ai/id/article/10901-kerangka-kerja-fpgn-memungkinkan-akselerasi-neural-berbasis-gerbang-yang-dapat/korshunov.aiid2026-07-11T07:19:40.058563+00:00Kerangka kerja FPGN memungkinkan akselerasi neural berbasis gerbang yang dapat diprogram dengan ultra-cepat menggunakan LUT terdiferensiasi https://korshunov.ai/ar/article/10901-tr-ml-fpgn-ytyh-tsry-an-sbyan-fyq-lsr-qyman-l-lbwbt-lqbl-llbrmj-bstkhdm-lutt-qbl/korshunov.aiar2026-07-11T07:19:40.058563+00:00إطار عمل FPGN يتيح تسريعًا عصبيًا فائق السرعة قائمًا على البوابات القابلة للبرمجة باستخدام LUTات قابلة للتفاضل https://korshunov.ai/en/article/11096-user-tests-prismaquant-nvfp4-models-on-rtx-pro-4500/korshunov.aien2026-07-11T06:57:16.643873+00:00User tests PrismaQuant NVFP4 models on RTX Pro 4500 https://korshunov.ai/ru/article/11096-polzovatel-testiruet-modeli-prismaquant-nvfp4-na-rtx-pro-4500/korshunov.airu2026-07-11T06:57:16.643873+00:00Пользователь тестирует модели PrismaQuant NVFP4 на RTX Pro 4500 https://korshunov.ai/es/article/11096-un-usuario-prueba-los-modelos-prismaquant-nvfp4-en-rtx-pro-4500/korshunov.aies2026-07-11T06:57:16.643873+00:00Un usuario prueba los modelos PrismaQuant NVFP4 en RTX Pro 4500 https://korshunov.ai/zh-hans/article/11096-yong-hu-zai-rtx-pro-4500-shang-ce-shi-prismaquant-nvfp4-mo-xing/korshunov.aizh-cn2026-07-11T06:57:16.643873+00:00用户在 RTX Pro 4500 上测试 PrismaQuant NVFP4 模型 https://korshunov.ai/pt-br/article/11096-usuario-testa-modelos-prismaquant-nvfp4-na-rtx-pro-4500/korshunov.aipt2026-07-11T06:57:16.643873+00:00Usuário testa modelos PrismaQuant NVFP4 na RTX Pro 4500 https://korshunov.ai/hi/article/11096-upyogkrtaa-rtx-pro-4500-pr-prismaquant-nvfp4-monddl-kaa-priikssnn-kr-rhaa-hai/korshunov.aihi2026-07-11T06:57:16.643873+00:00उपयोगकर्ता RTX Pro 4500 पर PrismaQuant NVFP4 मॉडल का परीक्षण कर रहा है https://korshunov.ai/ja/article/11096-yu-sa-kartx-pro-4500teprismaquant-nvfp4moteruwotesuto/korshunov.aija2026-07-11T06:57:16.643873+00:00ユーザーがRTX Pro 4500でPrismaQuant NVFP4モデルをテスト https://korshunov.ai/ko/article/11096-sayongjaga-rtx-pro-4500eseo-prismaquant-nvfp4-model-teseuteu/korshunov.aiko2026-07-11T06:57:16.643873+00:00사용자가 RTX Pro 4500에서 PrismaQuant NVFP4 모델 테스트 https://korshunov.ai/fr/article/11096-un-utilisateur-teste-les-modeles-prismaquant-nvfp4-sur-rtx-pro-4500/korshunov.aifr2026-07-11T06:57:16.643873+00:00Un utilisateur teste les modèles PrismaQuant NVFP4 sur RTX Pro 4500 https://korshunov.ai/id/article/11096-pengguna-menguji-model-prismaquant-nvfp4-di-rtx-pro-4500/korshunov.aiid2026-07-11T06:57:16.643873+00:00Pengguna menguji model PrismaQuant NVFP4 di RTX Pro 4500 https://korshunov.ai/ar/article/11096-mstkhdm-ykhtbr-nmdhj-prismaquant-nvfp4-l-rtx-pro-4500/korshunov.aiar2026-07-11T06:57:16.643873+00:00مستخدم يختبر نماذج PrismaQuant NVFP4 على RTX Pro 4500 https://korshunov.ai/en/article/11100-qwen3-6-35b-a3b-generates-flight-simulator-in-single-prompt/korshunov.aien2026-07-11T06:47:09.999126+00:00Qwen3.6 35B-A3B generates flight simulator in single prompt https://korshunov.ai/ru/article/11100-qwen3-6-35b-a3b-generiruet-aviasimuliator-v-odnom-prompte/korshunov.airu2026-07-11T06:47:09.999126+00:00Qwen3.6 35B-A3B генерирует авиасимулятор в одном промпте https://korshunov.ai/es/article/11100-qwen3-6-35b-a3b-genera-un-simulador-de-vuelo-en-un-solo-prompt/korshunov.aies2026-07-11T06:47:09.999126+00:00Qwen3.6 35B-A3B genera un simulador de vuelo en un solo prompt https://korshunov.ai/zh-hans/article/11100-qwen3-6-35b-a3b-zai-dan-ge-ti-shi-zhong-sheng-cheng-fei-xing-mo-ni-qi/korshunov.aizh-cn2026-07-11T06:47:09.999126+00:00Qwen3.6 35B-A3B 在单个提示中生成飞行模拟器 https://korshunov.ai/pt-br/article/11100-qwen3-6-35b-a3b-gera-simulador-de-voo-em-um-unico-prompt/korshunov.aipt2026-07-11T06:47:09.999126+00:00Qwen3.6 35B-A3B gera simulador de voo em um único prompt https://korshunov.ai/hi/article/11100-qwen3-6-35b-a3b-ekl-pronmptt-men-phlaaitt-simyulettr-jnrett-krtaa-hai/korshunov.aihi2026-07-11T06:47:09.999126+00:00Qwen3.6 35B-A3B एकल प्रॉम्प्ट में फ्लाइट सिम्युलेटर जनरेट करता है https://korshunov.ai/ja/article/11100-qwen3-6-35b-a3bkadan-yi-huronhutotehuraitoshimiyure-ta-wosheng-cheng/korshunov.aija2026-07-11T06:47:09.999126+00:00Qwen3.6 35B-A3Bが単一プロンプトでフライトシミュレーターを生成 https://korshunov.ai/ko/article/11100-qwen3-6-35b-a3bga-danil-peurompeuteuro-bihaeng-simyulreiteo-saengseong/korshunov.aiko2026-07-11T06:47:09.999126+00:00Qwen3.6 35B-A3B가 단일 프롬프트로 비행 시뮬레이터 생성 https://korshunov.ai/fr/article/11100-qwen3-6-35b-a3b-genere-un-simulateur-de-vol-en-une-seule-invite/korshunov.aifr2026-07-11T06:47:09.999126+00:00Qwen3.6 35B-A3B génère un simulateur de vol en une seule invite https://korshunov.ai/id/article/11100-qwen3-6-35b-a3b-menghasilkan-simulator-penerbangan-dalam-satu-prompt/korshunov.aiid2026-07-11T06:47:09.999126+00:00Qwen3.6 35B-A3B menghasilkan simulator penerbangan dalam satu prompt https://korshunov.ai/ar/article/11100-qwen3-6-35b-a3b-ywld-mhky-tyrn-fy-mwjh-whd/korshunov.aiar2026-07-11T06:47:09.999126+00:00Qwen3.6 35B-A3B يولد محاكي طيران في موجه واحد https://korshunov.ai/en/article/11102-user-asks-how-to-limit-reasoning-effort-on-qwen-3-5-and-gemma-4/korshunov.aien2026-07-11T06:41:26.565658+00:00User asks how to limit reasoning effort on Qwen 3.5 and Gemma 4 https://korshunov.ai/zh-hans/article/11102-yong-hu-xun-wen-ru-he-xian-zhi-qwen-3-5-he-gemma-4-de-tui-li-nu-li/korshunov.aizh-cn2026-07-11T06:41:26.565658+00:00用户询问如何限制 Qwen 3.5 和 Gemma 4 的推理努力 https://korshunov.ai/ru/article/11102-polzovatel-sprashivaet-kak-ogranichit-usiliia-na-rassuzhdenie-dlia-qwen-3-5-i-4/korshunov.airu2026-07-11T06:41:26.565658+00:00Пользователь спрашивает, как ограничить усилия на рассуждение для Qwen 3.5 и Gemma 4 https://korshunov.ai/es/article/11102-el-usuario-pregunta-como-limitar-el-esfuerzo-de-razonamiento-en-qwen-3-5-y-gemma/korshunov.aies2026-07-11T06:41:26.565658+00:00El usuario pregunta cómo limitar el esfuerzo de razonamiento en Qwen 3.5 y Gemma 4 https://korshunov.ai/pt-br/article/11102-usuario-pergunta-como-limitar-o-esforco-de-raciocinio-no-qwen-3-5-e-gemma-4/korshunov.aipt2026-07-11T06:41:26.565658+00:00Usuário pergunta como limitar o esforço de raciocínio no Qwen 3.5 e Gemma 4 https://korshunov.ai/hi/article/11102-upyogkrtaa-qwen-3-5-aur-gemma-4-pr-trk-pryaas-ko-siimit-krne-ke-baare-men-hai/korshunov.aihi2026-07-11T06:41:26.565658+00:00उपयोगकर्ता Qwen 3.5 और Gemma 4 पर तर्क प्रयास को सीमित करने के बारे में पूछता है https://korshunov.ai/ja/article/11102-qwen-3-5togemma-4tetui-lun-nu-li-wozhi-xian-surufang-fa-woyu-sa-kazhi-wen/korshunov.aija2026-07-11T06:41:26.565658+00:00Qwen 3.5とGemma 4で推論努力を制限する方法をユーザーが質問 https://korshunov.ai/ko/article/11102-qwen-3-5-mic-gemma-4eseo-curon-noryeogeul-jehanhaneun-bangbeob-jilmun/korshunov.aiko2026-07-11T06:41:26.565658+00:00Qwen 3.5 및 Gemma 4에서 추론 노력을 제한하는 방법 질문 https://korshunov.ai/fr/article/11102-un-utilisateur-demande-comment-limiter-l-effort-de-raisonnement-sur-qwen-3-5-et/korshunov.aifr2026-07-11T06:41:26.565658+00:00Un utilisateur demande comment limiter l'effort de raisonnement sur Qwen 3.5 et Gemma 4 https://korshunov.ai/id/article/11102-pengguna-bertanya-cara-membatasi-upaya-penalaran-pada-qwen-3-5-dan-gemma-4/korshunov.aiid2026-07-11T06:41:26.565658+00:00Pengguna bertanya cara membatasi upaya penalaran pada Qwen 3.5 dan Gemma 4 https://korshunov.ai/ar/article/11102-ysl-lmstkhdm-n-kyfy-lhd-mn-jhd-lstdll-l-qwen-3-5-wgemma-4/korshunov.aiar2026-07-11T06:41:26.565658+00:00يسأل المستخدم عن كيفية الحد من جهد الاستدلال على Qwen 3.5 وGemma 4 https://korshunov.ai/ko/article/11101-vllm-seobeoga-null-saempeulring-maegaebyeonsureul-bada-gibongabs-yoceong-heoyong/korshunov.aiko2026-07-11T06:37:16.860827+00:00vLLM 서버가 null 샘플링 매개변수를 받아 기본값 요청 허용 https://korshunov.ai/en/article/11101-vllm-server-accepts-null-sampling-params-to-request-defaults/korshunov.aien2026-07-11T06:37:16.860827+00:00vLLM server accepts null sampling params to request defaults https://korshunov.ai/ru/article/11101-server-vllm-prinimaet-nulevye-parametry-semplirovaniia-dlia-zaprosa-znachenii-po/korshunov.airu2026-07-11T06:37:16.860827+00:00Сервер vLLM принимает нулевые параметры сэмплирования для запроса значений по умолчанию https://korshunov.ai/es/article/11101-el-servidor-vllm-acepta-parametros-de-muestreo-nulos-para-solicitar-valores/korshunov.aies2026-07-11T06:37:16.860827+00:00El servidor vLLM acepta parámetros de muestreo nulos para solicitar valores predeterminados https://korshunov.ai/zh-hans/article/11101-vllm-fu-wu-qi-jie-shou-kong-cai-yang-can-shu-yi-qing-qiu-mo-ren-zhi/korshunov.aizh-cn2026-07-11T06:37:16.860827+00:00vLLM 服务器接受空采样参数以请求默认值 https://korshunov.ai/pt-br/article/11101-servidor-vllm-aceita-parametros-de-amostragem-nulos-para-solicitar-padroes/korshunov.aipt2026-07-11T06:37:16.860827+00:00Servidor vLLM aceita parâmetros de amostragem nulos para solicitar padrões https://korshunov.ai/hi/article/11101-vllm-srvr-ddiphonltt-maangne-ke-lie-null-sainpling-pairaamiittr-sviikaar-krtaa/korshunov.aihi2026-07-11T06:37:16.860827+00:00vLLM सर्वर डिफ़ॉल्ट मांगने के लिए null सैंपलिंग पैरामीटर स्वीकार करता है https://korshunov.ai/ja/article/11101-vllmsa-ha-kanullnosanhurinkuharame-tawoshou-keru-re-tehuorutowoyao-qiu/korshunov.aija2026-07-11T06:37:16.860827+00:00vLLMサーバーがnullのサンプリングパラメータを受け入れ、デフォルトを要求 https://korshunov.ai/fr/article/11101-le-serveur-vllm-accepte-les-parametres-d-echantillonnage-null-pour-demander-les/korshunov.aifr2026-07-11T06:37:16.860827+00:00Le serveur vLLM accepte les paramètres d'échantillonnage null pour demander les valeurs par défaut https://korshunov.ai/id/article/11101-server-vllm-menerima-parameter-sampling-null-untuk-meminta-nilai-default/korshunov.aiid2026-07-11T06:37:16.860827+00:00Server vLLM menerima parameter sampling null untuk meminta nilai default https://korshunov.ai/ar/article/11101-yqbl-khdm-vllm-m-mlt-khdh-l-ynt-lfrg-ltlb-lqym-lftrdy/korshunov.aiar2026-07-11T06:37:16.860827+00:00يقبل خادم vLLM معاملات أخذ العينات الفارغة لطلب القيم الافتراضية https://korshunov.ai/en/article/10900-nearest-centroid-classifier-achieves-94-2-accuracy-on-visem-semen-dataset/korshunov.aien2026-07-11T06:31:55.097556+00:00Nearest Centroid classifier achieves 94.2% accuracy on VISEM semen dataset https://korshunov.ai/ru/article/10900-klassifikator-blizhaishego-tsentroida-dostigaet-tochnosti-942-na-nabore-dannykh/korshunov.airu2026-07-11T06:31:55.097556+00:00Классификатор ближайшего центроида достигает точности 94,2% на наборе данных VISEM по сперме https://korshunov.ai/es/article/10900-el-clasificador-de-centroide-mas-cercano-alcanza-una-precision-del-942-en-el-de/korshunov.aies2026-07-11T06:31:55.097556+00:00El clasificador de centroide más cercano alcanza una precisión del 94,2% en el conjunto de datos VISEM de semen https://korshunov.ai/zh-hans/article/10900-zui-jin-zhi-xin-fen-lei-qi-zai-visemjing-ye-shu-ju-ji-shang-da-dao-94-2-de-zhun/korshunov.aizh-cn2026-07-11T06:31:55.097556+00:00最近质心分类器在VISEM精液数据集上达到94.2%的准确率 https://korshunov.ai/pt-br/article/10900-classificador-de-centroide-mais-proximo-atinge-942-de-precisao-no-conjunto-de-de/korshunov.aipt2026-07-11T06:31:55.097556+00:00Classificador de Centroide Mais Próximo atinge 94,2% de precisão no conjunto de dados VISEM de sêmen https://korshunov.ai/hi/article/10900-niyrstt-senttronidd-klaasiphaayr-ne-visem-shukraannu-ddettaasett-pr-94-2-haasil/korshunov.aihi2026-07-11T06:31:55.097556+00:00नियरस्ट सेंट्रॉइड क्लासिफायर ने VISEM शुक्राणु डेटासेट पर 94.2% सटीकता हासिल की https://korshunov.ai/ja/article/10900-zui-jin-jie-zhong-xin-fen-lei-qi-kavisemjing-ye-te-tasetsutote94-2-nojing-du/korshunov.aija2026-07-11T06:31:55.097556+00:00最近接重心分類器がVISEM精液データセットで94.2%の精度を達成 https://korshunov.ai/ko/article/10900-coegeun-jungsim-bunryugi-visem-jeongaeg-deiteoseseseo-94-2-jeonghwagdo-dalseong/korshunov.aiko2026-07-11T06:31:55.097556+00:00최근 중심 분류기, VISEM 정액 데이터셋에서 94.2% 정확도 달성 https://korshunov.ai/fr/article/10900-le-classifieur-du-centre-le-plus-proche-atteint-942-de-precision-sur-l-ensemble/korshunov.aifr2026-07-11T06:31:55.097556+00:00Le classifieur du centre le plus proche atteint 94,2 % de précision sur l'ensemble de données VISEM sur le sperme https://korshunov.ai/id/article/10900-klasifier-pusat-terdekat-mencapai-akurasi-942-pada-dataset-semen-visem/korshunov.aiid2026-07-11T06:31:55.097556+00:00Klasifier Pusat Terdekat mencapai akurasi 94,2% pada dataset semen VISEM https://korshunov.ai/ar/article/10900-musniwf-qrb-mrkz-yhqq-dq-bnsb-94-2-l-mjmw-bynt-lsyl-lmnwy-visem/korshunov.aiar2026-07-11T06:31:55.097556+00:00مُصنِّف أقرب مركز يحقق دقة بنسبة 94.2% على مجموعة بيانات السائل المنوي VISEM https://korshunov.ai/en/article/11002-nearest-centroid-achieves-94-2-accuracy-predicting-male-fertility-from-semen/korshunov.aien2026-07-11T06:25:30.765920+00:00Nearest Centroid achieves 94.2% accuracy predicting male fertility from semen parameters https://korshunov.ai/ru/article/11002-metod-blizhaishego-tsentroida-dostigaet-tochnosti-94-2-pri-prognozirovanii-po/korshunov.airu2026-07-11T06:25:30.765920+00:00Метод ближайшего центроида достигает точности 94.2% при прогнозировании мужской фертильности по параметрам спермы https://korshunov.ai/es/article/11002-el-vecino-mas-cercano-alcanza-una-precision-del-94-2-al-predecir-la-fertilidad-a/korshunov.aies2026-07-11T06:25:30.765920+00:00El vecino más cercano alcanza una precisión del 94.2% al predecir la fertilidad masculina a partir de parámetros del semen https://korshunov.ai/zh-hans/article/11002-zui-jin-zhi-xin-fa-gen-ju-jing-ye-can-shu-yu-ce-nan-xing-sheng-yu-li-de-zhun-que/korshunov.aizh-cn2026-07-11T06:25:30.765920+00:00最近质心法根据精液参数预测男性生育力的准确率达到94.2% https://korshunov.ai/pt-br/article/11002-vizinho-mais-proximo-atinge-942-de-precisao-na-previsao-da-fertilidade-masculina/korshunov.aipt2026-07-11T06:25:30.765920+00:00Vizinho mais próximo atinge 94,2% de precisão na previsão da fertilidade masculina a partir de parâmetros do sêmen https://korshunov.ai/hi/article/11002-shukraannu-ke-pairaamiittron-se-puruss-prjnn-kssmtaa-kii-bhvissyvaannii-krne-men/korshunov.aihi2026-07-11T06:25:30.765920+00:00शुक्राणु के पैरामीटरों से पुरुष प्रजनन क्षमता की भविष्यवाणी करने में निकटतम केंद्रक (Nearest Centroid) ने 94.2% सटीकता हासिल की https://korshunov.ai/ja/article/11002-jing-ye-harame-takaranan-xing-nosheng-zhi-neng-woyu-ce-surujin-jie-zhong-xin-fa/korshunov.aija2026-07-11T06:25:30.765920+00:00精液パラメータから男性の生殖能を予測する近接重心法が94.2%の精度を達成 https://korshunov.ai/ko/article/11002-jeongaeg-maegaebyeonsurobuteo-namseong-saengsigryeogeul-yeceughaneun-nearest-94/korshunov.aiko2026-07-11T06:25:30.765920+00:00정액 매개변수로부터 남성 생식력을 예측하는 Nearest Centroid가 94.2%의 정확도 달성 https://korshunov.ai/fr/article/11002-le-classifieur-nearest-centroid-atteint-une-precision-de-942-pour-predire-la-a/korshunov.aifr2026-07-11T06:25:30.765920+00:00Le classifieur Nearest Centroid atteint une précision de 94,2 % pour prédire la fertilité masculine à partir des paramètres du sperme https://korshunov.ai/id/article/11002-nearest-centroid-mencapai-akurasi-942-dalam-memprediksi-kesuburan-pria-dari/korshunov.aiid2026-07-11T06:25:30.765920+00:00Nearest Centroid mencapai akurasi 94,2% dalam memprediksi kesuburan pria dari parameter sperma https://korshunov.ai/ar/article/11002-tryq-qrb-mrkzy-thqq-dq-bnsb-94-2-fy-ltnbw-bkhswb-ldhkwr-mn-m-yyr-lsyl-lmnwy/korshunov.aiar2026-07-11T06:25:30.765920+00:00طريقة أقرب مركزية تحقق دقة بنسبة 94.2% في التنبؤ بخصوبة الذكور من معايير السائل المنوي https://korshunov.ai/en/article/11001-adorn-uses-rl-to-adaptively-handle-drift-in-open-ran-ai-ml-models/korshunov.aien2026-07-11T06:18:13.286557+00:00ADORN uses RL to adaptively handle drift in Open RAN AI/ML models https://korshunov.ai/ru/article/11001-adorn-ispolzuet-rl-dlia-adaptivnoi-obrabotki-dreifa-v-modeliakh-ii-ml-open-ran/korshunov.airu2026-07-11T06:18:13.286557+00:00ADORN использует RL для адаптивной обработки дрейфа в моделях ИИ/ML Open RAN https://korshunov.ai/es/article/11001-adorn-utiliza-rl-para-manejar-adaptativamente-la-deriva-en-modelos-de-ia-ml-de/korshunov.aies2026-07-11T06:18:13.286557+00:00ADORN utiliza RL para manejar adaptativamente la deriva en modelos de IA/ML de Open RAN https://korshunov.ai/zh-hans/article/11001-adorn-shi-yong-qiang-hua-xue-xi-zi-gua-ying-chu-li-open-ran-ai-ml-mo-xing-zhong/korshunov.aizh-cn2026-07-11T06:18:13.286557+00:00ADORN 使用强化学习自适应处理 Open RAN AI/ML 模型中的漂移 https://korshunov.ai/pt-br/article/11001-adorn-usa-rl-para-lidar-adaptativamente-com-a-deriva-em-modelos-de-ia-ml-do-open/korshunov.aipt2026-07-11T06:18:13.286557+00:00ADORN usa RL para lidar adaptativamente com a deriva em modelos de IA/ML do Open RAN https://korshunov.ai/hi/article/11001-adorn-open-ran-ai-ml-monddl-men-ddriphtt-ko-anukuulit-ruup-se-snbhaalne-ke-lie/korshunov.aihi2026-07-11T06:18:13.286557+00:00ADORN Open RAN AI/ML मॉडल में ड्रिफ्ट को अनुकूलित रूप से संभालने के लिए RL का उपयोग करता है https://korshunov.ai/ja/article/11001-adornhaqiang-hua-xue-xi-woyong-iteopen-rannoai-mlmoteruniokerutorihutowoshi-ying/korshunov.aija2026-07-11T06:18:13.286557+00:00ADORNは強化学習を用いてOpen RANのAI/MLモデルにおけるドリフトを適応的に処理する https://korshunov.ai/ko/article/11001-adorneun-rleul-sayonghayeo-open-ran-ai-ml-modelyi-deuripeuteureul-ceorihabnida/korshunov.aiko2026-07-11T06:18:13.286557+00:00ADORN은 RL을 사용하여 Open RAN AI/ML 모델의 드리프트를 적응적으로 처리합니다 https://korshunov.ai/fr/article/11001-adorn-utilise-l-apprentissage-par-renforcement-pour-gerer-de-maniere-adaptative/korshunov.aifr2026-07-11T06:18:13.286557+00:00ADORN utilise l'apprentissage par renforcement pour gérer de manière adaptative la dérive dans les modèles d'IA/ML d'Open RAN https://korshunov.ai/id/article/11001-adorn-menggunakan-rl-untuk-menangani-drift-secara-adaptif-pada-model-ai-ml-open/korshunov.aiid2026-07-11T06:18:13.286557+00:00ADORN menggunakan RL untuk menangani drift secara adaptif pada model AI/ML Open RAN https://korshunov.ai/ar/article/11001-ystkhdm-adorn-lt-lm-lm-zz-llt-ml-bshkl-tkyfy-m-lnhrf-fy-nmdhj-ldhk-lstn-y-wlt-lm/korshunov.aiar2026-07-11T06:18:13.286557+00:00يستخدم ADORN التعلم المعزز للتعامل بشكل تكيفي مع الانحراف في نماذج الذكاء الاصطناعي والتعلم الآلي لشبكة الوصول اللاسلكي المفتوح (Open RAN) https://korshunov.ai/en/article/10899-statistical-efficiency-and-inference-of-quantile-distributional-reinforcement/korshunov.aien2026-07-11T06:09:46.798111+00:00Statistical Efficiency and Inference of Quantile Distributional Reinforcement Learning https://korshunov.ai/ru/article/10899-statisticheskaia-effektivnost-i-vyvod-dlia-kvantilnogo-raspredelitelnogo-s/korshunov.airu2026-07-11T06:09:46.798111+00:00Статистическая эффективность и вывод для квантильного распределительного обучения с подкреплением https://korshunov.ai/es/article/10899-eficiencia-estadistica-e-inferencia-del-aprendizaje-por-refuerzo-distribucional/korshunov.aies2026-07-11T06:09:46.798111+00:00Eficiencia estadística e inferencia del aprendizaje por refuerzo distribucional cuantil https://korshunov.ai/zh-hans/article/10899-fen-wei-shu-fen-bu-qiang-hua-xue-xi-de-tong-ji-xiao-lu-yu-tui-duan/korshunov.aizh-cn2026-07-11T06:09:46.798111+00:00分位数分布强化学习的统计效率与推断 https://korshunov.ai/pt-br/article/10899-eficiencia-estatistica-e-inferencia-do-aprendizado-por-reforco-distribucional/korshunov.aipt2026-07-11T06:09:46.798111+00:00Eficiência estatística e inferência do aprendizado por reforço distribucional quantílico https://korshunov.ai/hi/article/10899-kvaanttaail-vitrnn-prbl-siikhne-kii-saankhyikiiy-dksstaa-aur-anumaan/korshunov.aihi2026-07-11T06:09:46.798111+00:00क्वांटाइल वितरण प्रबल सीखने की सांख्यिकीय दक्षता और अनुमान https://korshunov.ai/ja/article/10899-liang-zi-hua-fen-bu-qiang-hua-xue-xi-notong-ji-de-xiao-lu-xing-totui-lun/korshunov.aija2026-07-11T06:09:46.798111+00:00量子化分布強化学習の統計的効率性と推論 https://korshunov.ai/ko/article/10899-yangjahwa-bunpo-ganghwa-hagseubyi-tonggyejeog-hyoyulseonggwa-curon/korshunov.aiko2026-07-11T06:09:46.798111+00:00양자화 분포 강화 학습의 통계적 효율성과 추론 https://korshunov.ai/fr/article/10899-efficacite-statistique-et-inference-de-l-apprentissage-par-renforcement-quantile/korshunov.aifr2026-07-11T06:09:46.798111+00:00Efficacité statistique et inférence de l'apprentissage par renforcement distributionnel quantile https://korshunov.ai/id/article/10899-efisiensi-statistik-dan-inferensi-pembelajaran-penguatan-distribusi-kuantil/korshunov.aiid2026-07-11T06:09:46.798111+00:00Efisiensi Statistik dan Inferensi Pembelajaran Penguatan Distribusi Kuantil https://korshunov.ai/ar/article/10899-lkf-lhsyy-wlstdll-fy-lt-lm-lm-zz-ltwzy-y-lkmy/korshunov.aiar2026-07-11T06:09:46.798111+00:00الكفاءة الإحصائية والاستدلال في التعلم المعزز التوزيعي الكمي https://korshunov.ai/en/article/10898-ds-gt-arc-ranks-2nd-in-imageclef-ai4agri-2026-viticulture-prediction/korshunov.aien2026-07-11T05:58:38.525880+00:00DS@GT ARC ranks 2nd in ImageCLEF AI4Agri 2026 viticulture prediction https://korshunov.ai/ru/article/10898-ds-gt-arc-zanial-2-e-mesto-v-imageclef-ai4agri-2026-po-prognozirovaniiu/korshunov.airu2026-07-11T05:58:38.525880+00:00DS@GT ARC занял 2-е место в ImageCLEF AI4Agri 2026 по прогнозированию виноградарства https://korshunov.ai/es/article/10898-ds-gt-arc-ocupa-el-2o-lugar-en-la-prediccion-de-viticultura-de-imageclef-ai4agri/korshunov.aies2026-07-11T05:58:38.525880+00:00DS@GT ARC ocupa el 2º lugar en la predicción de viticultura de ImageCLEF AI4Agri 2026 https://korshunov.ai/zh-hans/article/10898-ds-gt-arc-zai-imageclef-ai4agri-2026-pu-tao-chong-zhi-yu-ce-zhong-pai-ming-di-er/korshunov.aizh-cn2026-07-11T05:58:38.525880+00:00DS@GT ARC 在 ImageCLEF AI4Agri 2026 葡萄种植预测中排名第二 https://korshunov.ai/pt-br/article/10898-ds-gt-arc-fica-em-2o-lugar-na-previsao-de-viticultura-do-imageclef-ai4agri-2026/korshunov.aipt2026-07-11T05:58:38.525880+00:00DS@GT ARC fica em 2º lugar na previsão de viticultura do ImageCLEF AI4Agri 2026 https://korshunov.ai/hi/article/10898-ds-gt-arc-ne-imageclef-ai4agri-2026-viittiiklcr-puurvaanumaan-men-2nd-sthaan/korshunov.aihi2026-07-11T05:58:38.525880+00:00DS@GT ARC ने ImageCLEF AI4Agri 2026 वीटीकल्चर पूर्वानुमान में 2nd स्थान हासिल किया https://korshunov.ai/ja/article/10898-ds-gt-arckaimageclef-ai4agri-2026nohutouzai-pei-yu-ce-te2wei-wohuo-de/korshunov.aija2026-07-11T05:58:38.525880+00:00DS@GT ARCがImageCLEF AI4Agri 2026のブドウ栽培予測で2位を獲得 https://korshunov.ai/ko/article/10898-ds-gt-arc-imageclef-ai4agri-2026-podo-jaebae-yeceugeseo-2wi-dalseong/korshunov.aiko2026-07-11T05:58:38.525880+00:00DS@GT ARC, ImageCLEF AI4Agri 2026 포도 재배 예측에서 2위 달성 https://korshunov.ai/fr/article/10898-ds-gt-arc-se-classe-2eme-a-la-prediction-de-viticulture-d-imageclef-ai4agri-2026/korshunov.aifr2026-07-11T05:58:38.525880+00:00DS@GT ARC se classe 2ème à la prédiction de viticulture d'ImageCLEF AI4Agri 2026 https://korshunov.ai/id/article/10898-ds-gt-arc-peringkat-ke-2-dalam-prediksi-vitikultur-imageclef-ai4agri-2026/korshunov.aiid2026-07-11T05:58:38.525880+00:00DS@GT ARC peringkat ke-2 dalam prediksi vitikultur ImageCLEF AI4Agri 2026 https://korshunov.ai/ar/article/10898-ds-gt-arc-yhtl-lmrtb-lthny-fy-twq-t-zr-lkrwm-lmsbq-imageclef-ai4agri-2026/korshunov.aiar2026-07-11T05:58:38.525880+00:00DS@GT ARC يحتل المرتبة الثانية في توقعات زراعة الكروم لمسابقة ImageCLEF AI4Agri 2026 https://korshunov.ai/en/article/11094-benchmark-of-unsloth-qwen3-6-27b-nvfp4-on-4x-rtx-5060-ti/korshunov.aien2026-07-11T05:53:55.481904+00:00Benchmark of unsloth/Qwen3.6-27B-NVFP4 on 4x RTX 5060 Ti https://korshunov.ai/ru/article/11094-benchmark-unsloth-qwen3-6-27b-nvfp4-na-4x-rtx-5060-ti/korshunov.airu2026-07-11T05:53:55.481904+00:00Бенчмарк unsloth/Qwen3.6-27B-NVFP4 на 4x RTX 5060 Ti https://korshunov.ai/es/article/11094-benchmark-de-unsloth-qwen3-6-27b-nvfp4-en-4x-rtx-5060-ti/korshunov.aies2026-07-11T05:53:55.481904+00:00Benchmark de unsloth/Qwen3.6-27B-NVFP4 en 4x RTX 5060 Ti https://korshunov.ai/zh-hans/article/11094-unsloth-qwen3-6-27b-nvfp4zai-4zhang-rtx-5060-tishang-de-ji-zhun-ce-shi/korshunov.aizh-cn2026-07-11T05:53:55.481904+00:00unsloth/Qwen3.6-27B-NVFP4在4张RTX 5060 Ti上的基准测试 https://korshunov.ai/pt-br/article/11094-benchmark-do-unsloth-qwen3-6-27b-nvfp4-em-4x-rtx-5060-ti/korshunov.aipt2026-07-11T05:53:55.481904+00:00Benchmark do unsloth/Qwen3.6-27B-NVFP4 em 4x RTX 5060 Ti https://korshunov.ai/hi/article/11094-4x-rtx-5060-ti-pr-unsloth-qwen3-6-27b-nvfp4-kaa-bencmaark/korshunov.aihi2026-07-11T05:53:55.481904+00:004x RTX 5060 Ti पर unsloth/Qwen3.6-27B-NVFP4 का बेंचमार्क https://korshunov.ai/ja/article/11094-4x-rtx-5060-tishang-tenounsloth-qwen3-6-27b-nvfp4nohenchima-ku/korshunov.aija2026-07-11T05:53:55.481904+00:004x RTX 5060 Ti上でのunsloth/Qwen3.6-27B-NVFP4のベンチマーク https://korshunov.ai/ko/article/11094-4x-rtx-5060-ti-hwangyeongeseo-unsloth-qwen3-6-27b-nvfp4-bencimakeu/korshunov.aiko2026-07-11T05:53:55.481904+00:004x RTX 5060 Ti 환경에서 unsloth/Qwen3.6-27B-NVFP4 벤치마크 https://korshunov.ai/fr/article/11094-benchmark-de-unsloth-qwen3-6-27b-nvfp4-sur-4x-rtx-5060-ti/korshunov.aifr2026-07-11T05:53:55.481904+00:00Benchmark de unsloth/Qwen3.6-27B-NVFP4 sur 4x RTX 5060 Ti https://korshunov.ai/id/article/11094-benchmark-unsloth-qwen3-6-27b-nvfp4-pada-4x-rtx-5060-ti/korshunov.aiid2026-07-11T05:53:55.481904+00:00Benchmark unsloth/Qwen3.6-27B-NVFP4 pada 4x RTX 5060 Ti https://korshunov.ai/ar/article/11094-tqyym-d-nmwdhj-unsloth-qwen3-6-27b-nvfp4-l-4-whdt-rtx-5060-ti/korshunov.aiar2026-07-11T05:53:55.481904+00:00تقييم أداء نموذج unsloth/Qwen3.6-27B-NVFP4 على 4 وحدات RTX 5060 Ti https://korshunov.ai/en/article/11099-user-encounters-networkerror-when-deploying-gradio-app-to-hugging-face-spaces/korshunov.aien2026-07-11T05:21:09.044779+00:00User encounters NetworkError when deploying Gradio app to Hugging Face Spaces https://korshunov.ai/ru/article/11099-polzovatel-stalkivaetsia-s-networkerror-pri-razvertyvanii-prilozheniia-gradio-v/korshunov.airu2026-07-11T05:21:09.044779+00:00Пользователь сталкивается с NetworkError при развертывании приложения Gradio в Hugging Face Spaces https://korshunov.ai/es/article/11099-el-usuario-encuentra-un-networkerror-al-implementar-una-aplicacion-de-gradio-en/korshunov.aies2026-07-11T05:21:09.044779+00:00El usuario encuentra un NetworkError al implementar una aplicación de Gradio en Hugging Face Spaces https://korshunov.ai/zh-hans/article/11099-yong-hu-zai-jiang-gradio-ying-yong-bu-shu-dao-hugging-face-spaces-shi-yu-dao/korshunov.aizh-cn2026-07-11T05:21:09.044779+00:00用户在将 Gradio 应用部署到 Hugging Face Spaces 时遇到 NetworkError https://korshunov.ai/pt-br/article/11099-usuario-encontra-networkerror-ao-implantar-aplicativo-gradio-no-hugging-face/korshunov.aipt2026-07-11T05:21:09.044779+00:00Usuário encontra NetworkError ao implantar aplicativo Gradio no Hugging Face Spaces https://korshunov.ai/hi/article/11099-gradio-aip-ko-hugging-face-spaces-pr-ddiplony-krte-smy-upyogkrtaa-ko-kaa-saamnaa/korshunov.aihi2026-07-11T05:21:09.044779+00:00Gradio ऐप को Hugging Face Spaces पर डिप्लॉय करते समय उपयोगकर्ता को NetworkError का सामना करना पड़ता है https://korshunov.ai/ja/article/11099-gradioahuriwohugging-face-spacesnitehuroisuruji-ninetworkerrorkafa-sheng/korshunov.aija2026-07-11T05:21:09.044779+00:00GradioアプリをHugging Face Spacesにデプロイする際にNetworkErrorが発生 https://korshunov.ai/ko/article/11099-gradio-aebeul-hugging-face-spacese-baepohal-ddae-networkerror-balsaeng/korshunov.aiko2026-07-11T05:21:09.044779+00:00Gradio 앱을 Hugging Face Spaces에 배포할 때 NetworkError 발생 https://korshunov.ai/fr/article/11099-un-utilisateur-rencontre-une-networkerror-lors-du-deploiement-d-une-app-gradio/korshunov.aifr2026-07-11T05:21:09.044779+00:00Un utilisateur rencontre une NetworkError lors du déploiement d'une app Gradio sur Hugging Face Spaces https://korshunov.ai/id/article/11099-pengguna-mengalami-networkerror-saat-mendeploy-aplikasi-gradio-ke-hugging-face/korshunov.aiid2026-07-11T05:21:09.044779+00:00Pengguna mengalami NetworkError saat mendeploy aplikasi Gradio ke Hugging Face Spaces https://korshunov.ai/ar/article/11099-mstkhdm-ywjh-kht-networkerror-nd-nshr-ttbyq-gradio-l-hugging-face-spaces/korshunov.aiar2026-07-11T05:21:09.044779+00:00مستخدم يواجه خطأ NetworkError عند نشر تطبيق Gradio على Hugging Face Spaces https://korshunov.ai/en/article/11098-user-asks-about-scaling-laws-for-latent-diffusion-model-training/korshunov.aien2026-07-11T05:16:20.104036+00:00User asks about scaling laws for latent diffusion model training https://korshunov.ai/zh-hans/article/11098-yong-hu-xun-wen-qian-zai-kuo-san-mo-xing-xun-lian-de-suo-fang-ding-lu/korshunov.aizh-cn2026-07-11T05:16:20.104036+00:00用户询问潜在扩散模型训练的缩放定律 https://korshunov.ai/ru/article/11098-polzovatel-sprashivaet-o-zakonakh-masshtabirovaniia-dlia-obucheniia-modeli/korshunov.airu2026-07-11T05:16:20.104036+00:00Пользователь спрашивает о законах масштабирования для обучения модели латентного диффузии https://korshunov.ai/es/article/11098-usuario-pregunta-sobre-las-leyes-de-escalado-para-el-entrenamiento-de-modelos-de/korshunov.aies2026-07-11T05:16:20.104036+00:00Usuario pregunta sobre las leyes de escalado para el entrenamiento de modelos de difusión latente https://korshunov.ai/pt-br/article/11098-usuario-pergunta-sobre-leis-de-escalonamento-para-treinamento-de-modelo-de/korshunov.aipt2026-07-11T05:16:20.104036+00:00Usuário pergunta sobre leis de escalonamento para treinamento de modelo de difusão latente https://korshunov.ai/hi/article/11098-upyogkrtaa-laittentt-ddiphyuujn-monddl-prshikssnn-ke-lie-skeling-niymon-ke-baare/korshunov.aihi2026-07-11T05:16:20.104036+00:00उपयोगकर्ता लैटेंट डिफ्यूजन मॉडल प्रशिक्षण के लिए स्केलिंग नियमों के बारे में पूछता है https://korshunov.ai/ja/article/11098-qian-zai-kuo-san-moterunotore-ninkuniokerusuke-rinkufa-ze-niguan-suruzhi-wen/korshunov.aija2026-07-11T05:16:20.104036+00:00潜在拡散モデルのトレーニングにおけるスケーリング法則に関する質問 https://korshunov.ai/ko/article/11098-jamjae-hwagsan-model-hagseubeul-wihan-seukeilring-beobcige-daehan-jilmun/korshunov.aiko2026-07-11T05:16:20.104036+00:00잠재 확산 모델 학습을 위한 스케일링 법칙에 대한 질문 https://korshunov.ai/fr/article/11098-l-utilisateur-demande-des-informations-sur-les-lois-d-echelle-pour-l-de-modeles/korshunov.aifr2026-07-11T05:16:20.104036+00:00L'utilisateur demande des informations sur les lois d'échelle pour l'entraînement de modèles de diffusion latente https://korshunov.ai/id/article/11098-pengguna-bertanya-tentang-hukum-penskalaan-untuk-pelatihan-model-difusi-laten/korshunov.aiid2026-07-11T05:16:20.104036+00:00Pengguna bertanya tentang hukum penskalaan untuk pelatihan model difusi laten https://korshunov.ai/ar/article/11098-ysl-lmstkhdm-n-qwnyn-lqys-ltdryb-nmwdhj-lntshr-lkmn/korshunov.aiar2026-07-11T05:16:20.104036+00:00يسأل المستخدم عن قوانين القياس لتدريب نموذج الانتشار الكامن https://korshunov.ai/en/article/11097-user-reports-severe-throttling-of-gguf-downloads-via-telmex-in-northwest-mexico/korshunov.aien2026-07-11T05:11:57.275550+00:00User reports severe throttling of GGUF downloads via Telmex in northwest Mexico https://korshunov.ai/ru/article/11097-polzovateli-soobshchaiut-o-silnom-ogranichenii-skorosti-zagruzki-gguf-cherez-v/korshunov.airu2026-07-11T05:11:57.275550+00:00Пользователи сообщают о сильном ограничении скорости загрузки GGUF через Telmex в северо-западной части Мексики https://korshunov.ai/es/article/11097-usuarios-reportan-severa-limitacion-de-velocidad-al-descargar-gguf-a-traves-de/korshunov.aies2026-07-11T05:11:57.275550+00:00Usuarios reportan severa limitación de velocidad al descargar GGUF a través de Telmex en el noroeste de México https://korshunov.ai/zh-hans/article/11097-yong-hu-bao-gao-zai-mo-xi-ge-xi-bei-bu-tong-guo-telmexxia-zai-ggufshi-zao-yu-yan/korshunov.aizh-cn2026-07-11T05:11:57.275550+00:00用户报告在墨西哥西北部通过Telmex下载GGUF时遭遇严重限速 https://korshunov.ai/pt-br/article/11097-usuarios-relatam-severa-limitacao-de-download-de-gguf-via-telmex-no-noroeste-do/korshunov.aipt2026-07-11T05:11:57.275550+00:00Usuários relatam severa limitação de download de GGUF via Telmex no noroeste do México https://korshunov.ai/hi/article/11097-uttr-pshcimii-meksiko-men-telmex-ke-maadhym-se-gguf-ddaaunlodd-pr-gnbhiir-kii/korshunov.aihi2026-07-11T05:11:57.275550+00:00उत्तर-पश्चिमी मेक्सिको में Telmex के माध्यम से GGUF डाउनलोड पर गंभीर थ्रॉटलिंग की रिपोर्ट https://korshunov.ai/ja/article/11097-mekishikobei-xi-bu-notelmexjing-you-tegguftaunro-tokada-fu-sa-bao-gao/korshunov.aija2026-07-11T05:11:57.275550+00:00メキシコ北西部のTelmex経由でGGUFダウンロードが大幅にスロットリングされるというユーザー報告 https://korshunov.ai/ko/article/11097-megsiko-bugbu-telmexreul-tonghan-gguf-daunrodeu-simhan-sogdo-jehan-sayongja-bogo/korshunov.aiko2026-07-11T05:11:57.275550+00:00멕시코 북부 Telmex를 통한 GGUF 다운로드 심한 속도 제한 사용자 보고 https://korshunov.ai/fr/article/11097-un-utilisateur-signale-un-throttling-severe-des-telechargements-gguf-via-telmex/korshunov.aifr2026-07-11T05:11:57.275550+00:00Un utilisateur signale un throttling sévère des téléchargements GGUF via Telmex dans le nord-ouest du Mexique https://korshunov.ai/id/article/11097-pengguna-melaporkan-throttling-parah-unduhan-gguf-melalui-telmex-di-barat-laut/korshunov.aiid2026-07-11T05:11:57.275550+00:00Pengguna melaporkan throttling parah unduhan GGUF melalui Telmex di barat laut Meksiko https://korshunov.ai/ar/article/11097-mstkhdm-yblg-n-tqyyd-shdyd-lthmyl-mlft-gguf-br-telmex-fy-shml-grb-lmksyk/korshunov.aiar2026-07-11T05:11:57.275550+00:00مستخدم يبلغ عن تقييد شديد لتحميل ملفات GGUF عبر Telmex في شمال غرب المكسيك https://korshunov.ai/en/article/11000-stemgnn-predicts-scheduling-to-recover-coordinated-beamforming-performance-under/korshunov.aien2026-07-11T05:03:56.521272+00:00StemGNN predicts scheduling to recover coordinated beamforming performance under backhaul delay https://korshunov.ai/ru/article/11000-stemgnn-prognoziruet-raspisanie-dlia-vosstanovleniia-proizvoditelnosti-lucha-pri/korshunov.airu2026-07-11T05:03:56.521272+00:00StemGNN прогнозирует расписание для восстановления производительности согласованного формирования луча при задержке магистральной сети https://korshunov.ai/es/article/11000-stemgnn-predice-la-programacion-para-recuperar-el-rendimiento-de-la-formacion-de/korshunov.aies2026-07-11T05:03:56.521272+00:00StemGNN predice la programación para recuperar el rendimiento de la formación de haz coordinada bajo retardo del enlace troncal https://korshunov.ai/zh-hans/article/11000-stemgnn-yu-ce-diao-du-yi-zai-hui-cheng-yan-chi-xia-hui-fu-xie-tong-bo-shu-cheng/korshunov.aizh-cn2026-07-11T05:03:56.521272+00:00StemGNN 预测调度以在回程延迟下恢复协同波束成形性能 https://korshunov.ai/pt-br/article/11000-stemgnn-preve-o-agendamento-para-recuperar-o-desempenho-do-beamforming-sob-no/korshunov.aipt2026-07-11T05:03:56.521272+00:00StemGNN prevê o agendamento para recuperar o desempenho do beamforming coordenado sob atraso no backhaul https://korshunov.ai/hi/article/11000-sttemjiienen-sheddyuuling-kii-bhvissyvaannii-krke-baikhonl-vilnbtaa-ke-tht-ko/korshunov.aihi2026-07-11T05:03:56.521272+00:00स्टेमजीएनएन शेड्यूलिंग की भविष्यवाणी करके बैकहॉल विलंबता के तहत समन्वित बीमफ़ॉर्मिंग प्रदर्शन को पुनर्स्थापित करता है https://korshunov.ai/ja/article/11000-stemgnnhahatsukuho-ruchi-yan-xia-texie-diao-hi-muhuo-minkuxing-neng-wohui-fu-ce/korshunov.aija2026-07-11T05:03:56.521272+00:00StemGNNはバックホール遅延下で協調ビームフォーミング性能を回復するためのスケジューリングを予測する https://korshunov.ai/ko/article/11000-stemgnneun-baeghol-jiyeon-haeseo-hyeobryeog-bimpoming-seongneungeul-hoeboghagi/korshunov.aiko2026-07-11T05:03:56.521272+00:00StemGNN은 백홀 지연 하에서 협력 빔포밍 성능을 회복하기 위한 스케줄링 예측 https://korshunov.ai/fr/article/11000-stemgnn-predit-l-ordonnancement-pour-recuperer-les-performances-de-beamforming/korshunov.aifr2026-07-11T05:03:56.521272+00:00StemGNN prédit l'ordonnancement pour récupérer les performances de beamforming coordonné sous délai de backhaul https://korshunov.ai/id/article/11000-stemgnn-memprediksi-penjadwalan-untuk-memulihkan-kinerja-beamforming-di-bawah/korshunov.aiid2026-07-11T05:03:56.521272+00:00StemGNN memprediksi penjadwalan untuk memulihkan kinerja beamforming terkoordinasi di bawah keterlambatan backhaul https://korshunov.ai/ar/article/11000-ytnb-stemgnn-bljdwl-lst-d-d-tshkyl-lhzm-lmnsq-tht-tkhyr-lkhlfy/korshunov.aiar2026-07-11T05:03:56.521272+00:00يتنبأ StemGNN بالجدولة لاستعادة أداء تشكيل الحزمة المنسق تحت تأخير الخلفية https://korshunov.ai/en/article/10999-two-axes-of-llm-abstention-answer-correctness-and-question-answerability/korshunov.aien2026-07-11T04:48:47.043495+00:00Two axes of LLM abstention: answer correctness and question answerability https://korshunov.ai/ru/article/10999-dve-osi-otkaza-ot-otveta-v-llm-pravilnost-otveta-i-vozmozhnost-otveta-na-vopros/korshunov.airu2026-07-11T04:48:47.043495+00:00Две оси отказа от ответа в LLM: правильность ответа и возможность ответа на вопрос https://korshunov.ai/es/article/10999-dos-ejes-de-abstencion-en-llm-correccion-de-la-respuesta-y-capacidad-de-a-la/korshunov.aies2026-07-11T04:48:47.043495+00:00Dos ejes de abstención en LLM: corrección de la respuesta y capacidad de respuesta a la pregunta https://korshunov.ai/zh-hans/article/10999-da-yu-yan-mo-xing-ju-jue-hui-da-de-liang-ge-wei-du-da-an-zheng-que-xing-yu-wen/korshunov.aizh-cn2026-07-11T04:48:47.043495+00:00大语言模型拒绝回答的两个维度：答案正确性与问题可答性 https://korshunov.ai/pt-br/article/10999-dois-eixos-de-abstencao-em-llm-correcao-da-resposta-e-capacidade-de-responder-a/korshunov.aipt2026-07-11T04:48:47.043495+00:00Dois eixos de abstenção em LLM: correção da resposta e capacidade de responder à pergunta https://korshunov.ai/hi/article/10999-llm-ke-uttr-n-dene-ke-do-akss-uttr-kii-sttiiktaa-aur-prshn-kaa-uttr-dene-yogy/korshunov.aihi2026-07-11T04:48:47.043495+00:00LLM के उत्तर न देने के दो अक्ष: उत्तर की सटीकता और प्रश्न का उत्तर देने योग्य होना https://korshunov.ai/ja/article/10999-llmnoabstentionno2tsunozhou-hui-da-nozheng-que-xing-tozhi-wen-noda-bian-ke-neng/korshunov.aija2026-07-11T04:48:47.043495+00:00LLMのAbstentionの2つの軸：回答の正確性と質問の答弁可能性 https://korshunov.ai/ko/article/10999-llm-gigweonyi-du-cug-dabbyeon-jeonghwagseonggwa-jilmun-dabbyeon-ganeungseong/korshunov.aiko2026-07-11T04:48:47.043495+00:00LLM 기권의 두 축: 답변 정확성과 질문 답변 가능성 https://korshunov.ai/fr/article/10999-deux-axes-de-l-abstention-des-llm-exactitude-de-la-reponse-et-possibilite-de-a/korshunov.aifr2026-07-11T04:48:47.043495+00:00Deux axes de l'abstention des LLM : exactitude de la réponse et possibilité de répondre à la question https://korshunov.ai/id/article/10999-dua-sumbu-abstensi-llm-kebenaran-jawaban-dan-kemungkinan-pertanyaan-dijawab/korshunov.aiid2026-07-11T04:48:47.043495+00:00Dua sumbu abstensi LLM: kebenaran jawaban dan kemungkinan pertanyaan dijawab https://korshunov.ai/ar/article/10999-mhwrn-lnshb-nmdhj-llm-dq-ljb-wmkny-ljb-l-lswl/korshunov.aiar2026-07-11T04:48:47.043495+00:00محوران لانسحاب نماذج LLM: دقة الإجابة وإمكانية الإجابة على السؤال https://korshunov.ai/en/article/10998-ja4-jepa-applies-jepa-style-predictive-learning-to-ja4-network-fingerprints/korshunov.aien2026-07-11T04:39:40.381272+00:00JA4-JEPA applies JEPA-style predictive learning to JA4 network fingerprints https://korshunov.ai/ru/article/10998-ja4-jepa-primeniaet-prediktivnoe-obuchenie-v-stile-jepa-k-setevym-otpechatkam/korshunov.airu2026-07-11T04:39:40.381272+00:00JA4-JEPA применяет предиктивное обучение в стиле JEPA к сетевым отпечаткам JA4 https://korshunov.ai/es/article/10998-ja4-jepa-aplica-el-aprendizaje-predictivo-estilo-jepa-a-las-huellas-digitales-de/korshunov.aies2026-07-11T04:39:40.381272+00:00JA4-JEPA aplica el aprendizaje predictivo estilo JEPA a las huellas digitales de red JA4 https://korshunov.ai/zh-hans/article/10998-ja4-jepajiang-jepafeng-ge-de-yu-ce-xue-xi-ying-yong-yu-ja4wang-luo-zhi-wen/korshunov.aizh-cn2026-07-11T04:39:40.381272+00:00JA4-JEPA将JEPA风格的预测学习应用于JA4网络指纹 https://korshunov.ai/pt-br/article/10998-ja4-jepa-aplica-aprendizado-preditivo-estilo-jepa-a-impressoes-digitais-de-rede/korshunov.aipt2026-07-11T04:39:40.381272+00:00JA4-JEPA aplica aprendizado preditivo estilo JEPA a impressões digitais de rede JA4 https://korshunov.ai/hi/article/10998-ja4-jepa-ja4-nettvrk-phingrprintts-pr-jepa-shailii-kii-bhvissyvaannii-siikhne-ko/korshunov.aihi2026-07-11T04:39:40.381272+00:00JA4-JEPA JA4 नेटवर्क फिंगरप्रिंट्स पर JEPA-शैली की भविष्यवाणी सीखने को लागू करता है https://korshunov.ai/ja/article/10998-ja4-jepakajepasutairunoyu-ce-xue-xi-woja4netsutowa-kuhuinka-hurintonishi-yong/korshunov.aija2026-07-11T04:39:40.381272+00:00JA4-JEPAがJEPAスタイルの予測学習をJA4ネットワークフィンガープリントに適用 https://korshunov.ai/ko/article/10998-ja4-jepa-jepa-seutail-yeceug-hagseubeul-ja4-neteuweokeu-jimun-jeogyong/korshunov.aiko2026-07-11T04:39:40.381272+00:00JA4-JEPA, JEPA 스타일 예측 학습을 JA4 네트워크 지문 적용 https://korshunov.ai/fr/article/10998-ja4-jepa-applique-l-apprentissage-predictif-de-style-jepa-aux-empreintes-reseau/korshunov.aifr2026-07-11T04:39:40.381272+00:00JA4-JEPA applique l'apprentissage prédictif de style JEPA aux empreintes réseau JA4 https://korshunov.ai/id/article/10998-ja4-jepa-menerapkan-pembelajaran-prediktif-gaya-jepa-ke-sidik-jari-jaringan-ja4/korshunov.aiid2026-07-11T04:39:40.381272+00:00JA4-JEPA menerapkan pembelajaran prediktif gaya JEPA ke sidik jari jaringan JA4 https://korshunov.ai/ar/article/10998-yutbwq-ja4-jepa-lt-lm-ltnbwy-bnmt-jepa-l-bsmt-lshbkt-ja4/korshunov.aiar2026-07-11T04:39:40.381272+00:00يُطبّق JA4-JEPA التعلم التنبؤي بنمط JEPA على بصمات الشبكات JA4 https://korshunov.ai/en/article/10897-matbind-aligns-crystal-structure-diffraction-dos-and-text-into-shared-embedding/korshunov.aien2026-07-11T04:32:55.483567+00:00MatBind aligns crystal structure, diffraction, DOS, and text into shared embedding space https://korshunov.ai/ru/article/10897-matbind-vyravnivaet-kristallicheskuiu-strukturu-difraktsiiu-pse-i-tekst-v/korshunov.airu2026-07-11T04:32:55.483567+00:00MatBind выравнивает кристаллическую структуру, дифракцию, ПСЭ и текст в общем пространстве эмбеддингов https://korshunov.ai/es/article/10897-matbind-alinea-la-estructura-cristalina-difraccion-dos-y-texto-en-un-espacio-de/korshunov.aies2026-07-11T04:32:55.483567+00:00MatBind alinea la estructura cristalina, difracción, DOS y texto en un espacio de incrustación compartido https://korshunov.ai/zh-hans/article/10897-matbind-jiang-jing-ti-jie-gou-yan-she-tai-mi-du-he-wen-ben-dui-qi-dao-gong-xiang/korshunov.aizh-cn2026-07-11T04:32:55.483567+00:00MatBind 将晶体结构、衍射、态密度和文本对齐到共享嵌入空间 https://korshunov.ai/pt-br/article/10897-matbind-alinha-estrutura-cristalina-difracao-dos-e-texto-em-um-espaco-de/korshunov.aipt2026-07-11T04:32:55.483567+00:00MatBind alinha estrutura cristalina, difração, DOS e texto em um espaço de incorporação compartilhado https://korshunov.ai/hi/article/10897-matbind-kristtl-snrcnaa-vivrtn-dos-aur-paatth-ko-saajhaa-embedding-spes-men-hai/korshunov.aihi2026-07-11T04:32:55.483567+00:00MatBind क्रिस्टल संरचना, विवर्तन, DOS और पाठ को साझा एम्बेडिंग स्पेस में संरेखित करता है https://korshunov.ai/ja/article/10897-matbindhajie-jing-gou-zao-hui-zhe-dos-tekisutowogong-you-mai-meip-mikong-jian/korshunov.aija2026-07-11T04:32:55.483567+00:00MatBindは結晶構造、回折、DOS、テキストを共有埋め込み空間に整列させる https://korshunov.ai/ko/article/10897-matbindneun-gyeoljeong-gujo-hoejeol-dos-mic-tegseuteureul-gongyu-imbeding/korshunov.aiko2026-07-11T04:32:55.483567+00:00MatBind는 결정 구조, 회절, DOS 및 텍스트를 공유 임베딩 공간에 정렬합니다 https://korshunov.ai/fr/article/10897-matbind-aligne-la-structure-cristalline-la-diffraction-la-dos-et-le-texte-dans-d/korshunov.aifr2026-07-11T04:32:55.483567+00:00MatBind aligne la structure cristalline, la diffraction, la DOS et le texte dans un espace d'intégration partagé https://korshunov.ai/id/article/10897-matbind-menyelaraskan-struktur-kristal-difraksi-dos-dan-teks-ke-dalam-ruang/korshunov.aiid2026-07-11T04:32:55.483567+00:00MatBind menyelaraskan struktur kristal, difraksi, DOS, dan teks ke dalam ruang embedding bersama https://korshunov.ai/ar/article/10897-yqwm-matbind-bmhdh-lbny-lblwry-wlhywd-wdos-wlns-l-msh-tdmyn-mshtrk/korshunov.aiar2026-07-11T04:32:55.483567+00:00يقوم MatBind بمحاذاة البنية البلورية، والحيود، وDOS، والنص إلى مساحة تضمين مشتركة https://korshunov.ai/zh-hans/article/10896-fremo-shi-yong-shi-yu-jian-mo-jin-xing-duo-mo-tai-jiao-tong-yu-ce/korshunov.aizh-cn2026-07-11T04:25:49.262784+00:00FreMo 使用时域建模进行多模态交通预测 https://korshunov.ai/en/article/10896-fremo-uses-frequency-domain-modeling-for-multi-modality-transportation/korshunov.aien2026-07-11T04:25:49.262784+00:00FreMo uses frequency-domain modeling for multi-modality transportation forecasting https://korshunov.ai/ru/article/10896-fremo-ispolzuet-modelirovanie-v-chastotnoi-oblasti-dlia-prognozirovaniia-potokov/korshunov.airu2026-07-11T04:25:49.262784+00:00FreMo использует моделирование в частотной области для прогнозирования мультимодальных транспортных потоков https://korshunov.ai/es/article/10896-fremo-utiliza-modelado-en-el-dominio-de-la-frecuencia-para-la-prediccion-del/korshunov.aies2026-07-11T04:25:49.262784+00:00FreMo utiliza modelado en el dominio de la frecuencia para la predicción del transporte multimodal https://korshunov.ai/pt-br/article/10896-fremo-usa-modelagem-no-dominio-da-frequencia-para-previsao-de-transporte/korshunov.aipt2026-07-11T04:25:49.262784+00:00FreMo usa modelagem no domínio da frequência para previsão de transporte multimodal https://korshunov.ai/hi/article/10896-fremo-bhu-aayaamii-privhn-puurvaanumaan-ke-lie-aavrtti-ddomen-monddling-kaa-hai/korshunov.aihi2026-07-11T04:25:49.262784+00:00FreMo बहु-आयामी परिवहन पूर्वानुमान के लिए आवृत्ति-डोमेन मॉडलिंग का उपयोग करता है https://korshunov.ai/ja/article/10896-fremohazhou-bo-shu-ling-yu-moterinkuwoyong-itemaruchimo-tarujiao-tong-yu-ce-u/korshunov.aija2026-07-11T04:25:49.262784+00:00FreMoは周波数領域モデリングを用いてマルチモーダル交通予測を行う https://korshunov.ai/ko/article/10896-fremoneun-jupasu-domein-modelringeul-sayonghayeo-dajung-modalriti-gyotong-yeceug/korshunov.aiko2026-07-11T04:25:49.262784+00:00FreMo는 주파수 도메인 모델링을 사용하여 다중 모달리티 교통 예측 수행 https://korshunov.ai/fr/article/10896-fremo-utilise-la-modelisation-dans-le-domaine-de-la-frequence-pour-la-prevision/korshunov.aifr2026-07-11T04:25:49.262784+00:00FreMo utilise la modélisation dans le domaine de la fréquence pour la prévision du transport multi-modalité https://korshunov.ai/id/article/10896-fremo-menggunakan-pemodelan-domain-frekuensi-untuk-peramalan-transportasi-multi/korshunov.aiid2026-07-11T04:25:49.262784+00:00FreMo menggunakan pemodelan domain frekuensi untuk peramalan transportasi multi-modalitas https://korshunov.ai/ar/article/10896-ystkhdm-fremo-nmdhj-mjl-ltrdd-lltnbw-blnql-mt-dd-lwsyt/korshunov.aiar2026-07-11T04:25:49.262784+00:00يستخدم FreMo نمذجة مجال التردد للتنبؤ بالنقل متعدد الوسائط https://korshunov.ai/en/article/10997-vegas-human-aligned-video-caption-evaluation-via-gaze/korshunov.aien2026-07-11T04:18:03.418987+00:00VEGAS: Human-Aligned Video Caption Evaluation via Gaze https://korshunov.ai/ru/article/10997-vegas-otsenka-opisanii-video-soglasovannaia-s-chelovekom-cherez-otslezhivanie/korshunov.airu2026-07-11T04:18:03.418987+00:00VEGAS: Оценка описаний видео, согласованная с человеком, через отслеживание взгляда https://korshunov.ai/es/article/10997-vegas-evaluacion-de-descripciones-de-video-alineadas-con-humanos-mediante-la/korshunov.aies2026-07-11T04:18:03.418987+00:00VEGAS: Evaluación de descripciones de video alineadas con humanos mediante la mirada https://korshunov.ai/zh-hans/article/10997-vegas-tong-guo-zhu-shi-jin-xing-ren-lei-dui-qi-de-shi-pin-miao-shu-ping-gu/korshunov.aizh-cn2026-07-11T04:18:03.418987+00:00VEGAS：通过注视进行人类对齐的视频描述评估 https://korshunov.ai/pt-br/article/10997-vegas-avaliacao-de-legendas-de-video-alinhadas-ao-humano-via-olhar/korshunov.aipt2026-07-11T04:18:03.418987+00:00VEGAS: Avaliação de Legendas de Vídeo Alinhadas ao Humano via Olhar https://korshunov.ai/hi/article/10997-vegas-drsstti-ke-maadhym-se-maanv-anukuul-viiddiyo-kaipshn-muulyaankn/korshunov.aihi2026-07-11T04:18:03.418987+00:00VEGAS: दृष्टि के माध्यम से मानव-अनुकूल वीडियो कैप्शन मूल्यांकन https://korshunov.ai/ja/article/10997-vegas-shi-xian-woyong-itaren-jian-tozheng-he-shitadong-hua-kiyahushiyonping-jia/korshunov.aija2026-07-11T04:18:03.418987+00:00VEGAS: 視線を用いた人間と整合した動画キャプション評価 https://korshunov.ai/ko/article/10997-vegas-siseoneul-tonghan-ingan-jeongryeol-bidio-kaebsyeon-pyeongga/korshunov.aiko2026-07-11T04:18:03.418987+00:00VEGAS: 시선을 통한 인간 정렬 비디오 캡션 평가 https://korshunov.ai/fr/article/10997-vegas-evaluation-des-legendes-video-alignees-sur-l-humain-via-le-regard/korshunov.aifr2026-07-11T04:18:03.418987+00:00VEGAS : Évaluation des légendes vidéo alignées sur l'humain via le regard https://korshunov.ai/id/article/10997-vegas-evaluasi-caption-video-yang-diselaraskan-dengan-manusia-melalui-pandangan/korshunov.aiid2026-07-11T04:18:03.418987+00:00VEGAS: Evaluasi Caption Video yang Diselaraskan dengan Manusia Melalui Pandangan https://korshunov.ai/ar/article/10997-vegas-tqyym-tsmyt-lfydyw-lmtwfq-m-lnsn-br-ttb-lnzr/korshunov.aiar2026-07-11T04:18:03.418987+00:00VEGAS: تقييم تسميات الفيديو المتوافقة مع الإنسان عبر تتبع النظر https://korshunov.ai/hi/article/10996-datgr-phremvrk-jaiv-cikitsaa-paatth-monddling-ko-behtr-bnaane-ke-lie-ddriphtt/korshunov.aihi2026-07-11T04:03:37.354923+00:00DATGR फ्रेमवर्क जैव-चिकित्सा पाठ मॉडलिंग को बेहतर बनाने के लिए ड्रिफ्ट-अवेयर ग्राफ रीवायरिंग का उपयोग करता है https://korshunov.ai/en/article/10996-datgr-framework-uses-drift-aware-graph-rewiring-to-improve-biomedical-text/korshunov.aien2026-07-11T04:03:37.354923+00:00DATGR framework uses drift-aware graph rewiring to improve biomedical text modeling https://korshunov.ai/ru/article/10996-freimvork-datgr-ispolzuet-pereobviazku-grafov-s-uchetom-dreifa-dlia-uluchsheniia/korshunov.airu2026-07-11T04:03:37.354923+00:00Фреймворк DATGR использует переобвязку графов с учётом дрейфа для улучшения моделирования биомедицинского текста https://korshunov.ai/es/article/10996-el-marco-datgr-utiliza-reestructuracion-de-grafos-consciente-de-la-deriva-para/korshunov.aies2026-07-11T04:03:37.354923+00:00El marco DATGR utiliza reestructuración de grafos consciente de la deriva para mejorar el modelado de texto biomédico https://korshunov.ai/zh-hans/article/10996-datgrkuang-jia-li-yong-gan-zhi-piao-yi-de-tu-zhong-lian-lai-gai-jin-sheng-wu-yi/korshunov.aizh-cn2026-07-11T04:03:37.354923+00:00DATGR框架利用感知漂移的图重连来改进生物医学文本建模 https://korshunov.ai/pt-br/article/10996-framework-datgr-usa-reestruturacao-de-grafos-consciente-de-deriva-para-melhorar/korshunov.aipt2026-07-11T04:03:37.354923+00:00Framework DATGR usa reestruturação de grafos consciente de deriva para melhorar modelagem de texto biomédico https://korshunov.ai/ja/article/10996-datgrhure-muwa-kuhatorihutodui-ying-nokurahuzai-pei-xian-niyorisheng-ti-yi-xue/korshunov.aija2026-07-11T04:03:37.354923+00:00DATGRフレームワークはドリフト対応のグラフ再配線により生体医学テキストモデリングを改善 https://korshunov.ai/ko/article/10996-datgr-peureimweokeuneun-deuripeuteu-insig-geuraepeu-jaeyeongyeoleul-tonghae/korshunov.aiko2026-07-11T04:03:37.354923+00:00DATGR 프레임워크는 드리프트 인식 그래프 재연결을 통해 생물의학 텍스트 모델링 개선 https://korshunov.ai/fr/article/10996-le-cadre-datgr-utilise-le-rearrimage-de-graphe-sensible-a-la-derive-pour-la-des/korshunov.aifr2026-07-11T04:03:37.354923+00:00Le cadre DATGR utilise le réarrimage de graphe sensible à la dérive pour améliorer la modélisation des textes biomédicaux https://korshunov.ai/id/article/10996-kerangka-datgr-menggunakan-penyambungan-ulang-graf-yang-sadar-drift-untuk-teks/korshunov.aiid2026-07-11T04:03:37.354923+00:00Kerangka DATGR menggunakan penyambungan ulang graf yang sadar drift untuk meningkatkan pemodelan teks biomedis https://korshunov.ai/ar/article/10996-tr-ml-datgr-ystkhdm-d-twsyl-lrsm-lbyny-lhss-llnhrf-lthsyn-nmdhj-lnsws-ltby-lhywy/korshunov.aiar2026-07-11T04:03:37.354923+00:00إطار عمل DATGR يستخدم إعادة توصيل الرسم البياني الحساس للانحراف لتحسين نمذجة النصوص الطبية الحيوية https://korshunov.ai/en/article/11095-openai-launches-gpt-5-6-with-36-api-variants-and-chatgpt-work-codex-superapp/korshunov.aien2026-07-11T03:54:44.345321+00:00OpenAI launches GPT-5.6 with 36 API variants and ChatGPT Work/Codex superapp https://korshunov.ai/ru/article/11095-openai-zapuskaet-gpt-5-6-s-36-variantami-api-i-superprilozheniem-chatgpt-work/korshunov.airu2026-07-11T03:54:44.345321+00:00OpenAI запускает GPT-5.6 с 36 вариантами API и суперприложением ChatGPT Work/Codex https://korshunov.ai/es/article/11095-openai-lanza-gpt-5-6-con-36-variantes-de-api-y-la-superapp-chatgpt-work-codex/korshunov.aies2026-07-11T03:54:44.345321+00:00OpenAI lanza GPT-5.6 con 36 variantes de API y la superapp ChatGPT Work/Codex https://korshunov.ai/zh-hans/article/11095-openai-fa-bu-gpt-5-6-ti-gong-36-chong-api-bian-ti-ji-chatgpt-work-codex-chao-ji/korshunov.aizh-cn2026-07-11T03:54:44.345321+00:00OpenAI 发布 GPT-5.6，提供 36 种 API 变体及 ChatGPT Work/Codex 超级应用 https://korshunov.ai/pt-br/article/11095-openai-lanca-gpt-5-6-com-36-variantes-de-api-e-o-superapp-chatgpt-work-codex/korshunov.aipt2026-07-11T03:54:44.345321+00:00OpenAI lança GPT-5.6 com 36 variantes de API e o superapp ChatGPT Work/Codex https://korshunov.ai/hi/article/11095-openai-ne-gpt-5-6-ko-36-api-verientt-aur-chatgpt-work-codex-supraip-ke-saath/korshunov.aihi2026-07-11T03:54:44.345321+00:00OpenAI ने GPT-5.6 को 36 API वेरिएंट और ChatGPT Work/Codex सुपरऐप के साथ लॉन्च किया https://korshunov.ai/ja/article/11095-openai-36zhong-noapiharie-shiyontochatgpt-work-codexsu-ha-ahuriwoda-zai-shitagpt/korshunov.aija2026-07-11T03:54:44.345321+00:00OpenAI、36種のAPIバリエーションとChatGPT Work/Codexスーパーアプリを搭載したGPT-5.6をリリース https://korshunov.ai/ko/article/11095-openai-36gae-api-byeonhyeonggwa-chatgpt-work-codex-syupeoaebeul-gajcun-gpt-5-6/korshunov.aiko2026-07-11T03:54:44.345321+00:00OpenAI, 36개 API 변형과 ChatGPT Work/Codex 슈퍼앱을 갖춘 GPT-5.6 출시 https://korshunov.ai/fr/article/11095-openai-lance-gpt-5-6-avec-36-variantes-d-api-et-l-application-super-chatgpt-work/korshunov.aifr2026-07-11T03:54:44.345321+00:00OpenAI lance GPT-5.6 avec 36 variantes d'API et l'application super ChatGPT Work/Codex https://korshunov.ai/id/article/11095-openai-meluncurkan-gpt-5-6-dengan-36-varian-api-dan-aplikasi-super-chatgpt-work/korshunov.aiid2026-07-11T03:54:44.345321+00:00OpenAI meluncurkan GPT-5.6 dengan 36 varian API dan aplikasi super ChatGPT Work/Codex https://korshunov.ai/ar/article/11095-openai-ttlq-gpt-5-6-m-36-mtgyran-lwjh-brmj-lttbyqt-wttbyq-chatgpt-work-codex/korshunov.aiar2026-07-11T03:54:44.345321+00:00OpenAI تطلق GPT-5.6 مع 36 متغيرًا لواجهة برمجة التطبيقات وتطبيق ChatGPT Work/Codex الفائق https://korshunov.ai/en/article/11093-openai-agents-python-v0-18-2-adds-gpt-5-6-support-and-hosted-multi-agent-beta/korshunov.aien2026-07-11T03:34:55.568020+00:00openai-agents-python v0.18.2 adds GPT-5.6 support and hosted multi-agent beta https://korshunov.ai/ru/article/11093-openai-agents-python-v0-18-2-dobavliaet-podderzhku-gpt-5-6-i-beta-versiiu-dlia/korshunov.airu2026-07-11T03:34:55.568020+00:00openai-agents-python v0.18.2 добавляет поддержку GPT-5.6 и бета-версию хостинга для мультиагентных систем https://korshunov.ai/es/article/11093-openai-agents-python-v0-18-2-anade-soporte-para-gpt-5-6-y-beta-de-agentes/korshunov.aies2026-07-11T03:34:55.568020+00:00openai-agents-python v0.18.2 añade soporte para GPT-5.6 y beta de agentes múltiples alojados https://korshunov.ai/zh-hans/article/11093-openai-agents-python-v0-18-2-zeng-jia-dui-gpt-5-6-de-zhi-chi-ji-tuo-guan-duo-zhi/korshunov.aizh-cn2026-07-11T03:34:55.568020+00:00openai-agents-python v0.18.2 增加对 GPT-5.6 的支持及托管多智能体测试版 https://korshunov.ai/pt-br/article/11093-openai-agents-python-v0-18-2-adiciona-suporte-para-gpt-5-6-e-beta-de-agentes/korshunov.aipt2026-07-11T03:34:55.568020+00:00openai-agents-python v0.18.2 adiciona suporte para GPT-5.6 e beta de agentes múltiplos hospedados https://korshunov.ai/hi/article/11093-openai-agents-python-v0-18-2-men-gpt-5-6-smrthn-aur-hosttedd-mlttii-ejentt-gyaa/korshunov.aihi2026-07-11T03:34:55.568020+00:00openai-agents-python v0.18.2 में GPT-5.6 समर्थन और होस्टेड मल्टी-एजेंट बीटा जोड़ा गया https://korshunov.ai/ja/article/11093-openai-agents-python-v0-18-2kagpt-5-6saho-totohosutoxing-maruchie-shientohe-jia/korshunov.aija2026-07-11T03:34:55.568020+00:00openai-agents-python v0.18.2がGPT-5.6サポートとホスト型マルチエージェントベータを追加 https://korshunov.ai/ko/article/11093-openai-agents-python-v0-18-2-gpt-5-6-jiweon-mic-hoseuting-meoltieijeonteu-beta/korshunov.aiko2026-07-11T03:34:55.568020+00:00openai-agents-python v0.18.2, GPT-5.6 지원 및 호스팅 멀티에이전트 베타 추가 https://korshunov.ai/fr/article/11093-openai-agents-python-v0-18-2-ajoute-le-support-de-gpt-5-6-et-la-beta-multi/korshunov.aifr2026-07-11T03:34:55.568020+00:00openai-agents-python v0.18.2 ajoute le support de GPT-5.6 et la bêta multi-agents hébergée https://korshunov.ai/id/article/11093-openai-agents-python-v0-18-2-menambahkan-dukungan-gpt-5-6-dan-beta-multi-agent/korshunov.aiid2026-07-11T03:34:55.568020+00:00openai-agents-python v0.18.2 menambahkan dukungan GPT-5.6 dan beta multi-agent yang dihosting https://korshunov.ai/ar/article/11093-openai-agents-python-v0-18-2-ydyf-d-m-gpt-5-6-wsdr-tjryby-mt-dd-lwkl-mstdf/korshunov.aiar2026-07-11T03:34:55.568020+00:00openai-agents-python v0.18.2 يضيف دعم GPT-5.6 وإصدار تجريبي متعدد الوكلاء مستضاف https://korshunov.ai/hi/article/10895-edo-phremvrk-vyktigt-nlp-kaaryon-pr-kailibreshn-sudhaarne-ke-lie-ensenbl-ko-hai/korshunov.aihi2026-07-11T03:28:02.972480+00:00EDO फ्रेमवर्क व्यक्तिगत NLP कार्यों पर कैलिब्रेशन सुधारने के लिए एन्सेंबल विविधता को अनुकूलित करता है https://korshunov.ai/en/article/10895-edo-framework-optimizes-ensemble-diversity-to-improve-calibration-on-subjective/korshunov.aien2026-07-11T03:28:02.972480+00:00EDO framework optimizes ensemble diversity to improve calibration on subjective NLP tasks https://korshunov.ai/ru/article/10895-freimvork-edo-optimiziruet-raznoobrazie-ansamblei-dlia-uluchsheniia-kalibrovki/korshunov.airu2026-07-11T03:28:02.972480+00:00Фреймворк EDO оптимизирует разнообразие ансамблей для улучшения калибровки на субъективных задачах NLP https://korshunov.ai/es/article/10895-el-marco-edo-optimiza-la-diversidad-del-conjunto-para-mejorar-la-calibracion-en/korshunov.aies2026-07-11T03:28:02.972480+00:00El marco EDO optimiza la diversidad del conjunto para mejorar la calibración en tareas de PLN subjetivas https://korshunov.ai/zh-hans/article/10895-edokuang-jia-you-hua-ji-cheng-duo-yang-xing-yi-gai-shan-zhu-guan-nlpren-wu-de/korshunov.aizh-cn2026-07-11T03:28:02.972480+00:00EDO框架优化集成多样性以改善主观NLP任务的校准 https://korshunov.ai/pt-br/article/10895-framework-edo-otimiza-a-diversidade-do-ensemble-para-melhorar-a-calibracao-em-de/korshunov.aipt2026-07-11T03:28:02.972480+00:00Framework EDO otimiza a diversidade do ensemble para melhorar a calibração em tarefas de PLN subjetivas https://korshunov.ai/ja/article/10895-edohure-muwa-kukaansanhurunoduo-yang-xing-wozui-shi-hua-shi-zhu-guan-de-zheng/korshunov.aija2026-07-11T03:28:02.972480+00:00EDOフレームワークがアンサンブルの多様性を最適化し、主観的NLPタスクの較正を改善 https://korshunov.ai/ko/article/10895-edo-peureimweokeuga-angsangbeul-dayangseongeul-coejeoghwahayeo-jugwanjeog-nlp/korshunov.aiko2026-07-11T03:28:02.972480+00:00EDO 프레임워크가 앙상블 다양성을 최적화하여 주관적 NLP 작업의 교정을 개선 https://korshunov.ai/fr/article/10895-le-cadre-edo-optimise-la-diversite-des-ensembles-pour-ameliorer-l-etalonnage-sur/korshunov.aifr2026-07-11T03:28:02.972480+00:00Le cadre EDO optimise la diversité des ensembles pour améliorer l'étalonnage sur les tâches NLP subjectives https://korshunov.ai/id/article/10895-kerangka-kerja-edo-mengoptimalkan-keragaman-ensemble-untuk-meningkatkan-pada-nlp/korshunov.aiid2026-07-11T03:28:02.972480+00:00Kerangka kerja EDO mengoptimalkan keragaman ensemble untuk meningkatkan kalibrasi pada tugas NLP subjektif https://korshunov.ai/ar/article/10895-tr-ml-edo-yhsn-tnw-lmjmw-t-lthsyn-lm-yr-fy-mhm-m-lj-llg-ltby-y-ldhty/korshunov.aiar2026-07-11T03:28:02.972480+00:00إطار عمل EDO يحسن تنوع المجموعات لتحسين المعايرة في مهام معالجة اللغة الطبيعية الذاتية https://korshunov.ai/en/article/10995-sharp-et-al-define-context-access-divide-as-complement-to-agentic-inequality/korshunov.aien2026-07-11T03:20:43.793650+00:00Sharp et al. define Context Access Divide as complement to agentic inequality https://korshunov.ai/ru/article/10995-sharp-i-dr-opredeliaiut-kontekstnoe-razdelenie-dostupa-kak-dopolnenie-k/korshunov.airu2026-07-11T03:20:43.793650+00:00Шарп и др. определяют «Контекстное разделение доступа» как дополнение к агентному неравенству https://korshunov.ai/es/article/10995-sharp-et-al-definen-la-brecha-de-acceso-contextual-como-complemento-a-la/korshunov.aies2026-07-11T03:20:43.793650+00:00Sharp et al. definen la Brecha de Acceso Contextual como complemento a la desigualdad agéntica https://korshunov.ai/zh-hans/article/10995-sharpdeng-ren-jiang-shang-xia-wen-fang-wen-chai-ju-ding-yi-wei-dai-li-bu-ping-de/korshunov.aizh-cn2026-07-11T03:20:43.793650+00:00Sharp等人将上下文访问差距定义为代理不平等的补充 https://korshunov.ai/pt-br/article/10995-sharp-et-al-definem-a-divisao-de-acesso-contextual-como-complemento-a-agentica/korshunov.aipt2026-07-11T03:20:43.793650+00:00Sharp et al. definem a Divisão de Acesso Contextual como complemento à desigualdade agêntica https://korshunov.ai/hi/article/10995-shaarp-aur-any-ne-ejenttik-asmaantaa-ke-puurk-ke-ruup-men-sndrbh-phunc-vibhaajn/korshunov.aihi2026-07-11T03:20:43.793650+00:00शार्प और अन्य ने एजेंटिक असमानता के पूरक के रूप में संदर्भ पहुंच विभाजन को परिभाषित किया https://korshunov.ai/ja/article/10995-sharpraha-e-shientoge-chai-nidui-surubu-wan-gai-nian-toshitewen-mo-akusesuge-yi/korshunov.aija2026-07-11T03:20:43.793650+00:00Sharpらは、エージェント格差に対する補完概念として文脈アクセス格差を定義する https://korshunov.ai/ko/article/10995-sharp-deung-eijeonteu-bulpyeongdeunge-daehan-bowanjeog-gaenyeomeuro-munmaeg/korshunov.aiko2026-07-11T03:20:43.793650+00:00Sharp 등, 에이전트 불평등에 대한 보완적 개념으로 문맥 접근 격차 정의 https://korshunov.ai/fr/article/10995-sharp-et-al-definissent-la-fracture-d-acces-au-contexte-comme-complement-a-l/korshunov.aifr2026-07-11T03:20:43.793650+00:00Sharp et al. définissent la fracture d'accès au contexte comme complément à l'inégalité agentique https://korshunov.ai/id/article/10995-sharp-dkk-mendefinisikan-kesenjangan-akses-konteks-sebagai-pelengkap-agentic/korshunov.aiid2026-07-11T03:20:43.793650+00:00Sharp dkk. mendefinisikan Kesenjangan Akses Konteks sebagai pelengkap ketidaksetaraan agentic https://korshunov.ai/ar/article/10995-yu-rwf-shrb-wkhrwn-tqsym-lwswl-l-lsyq-kmkml-l-dm-lmsw-lwkyly/korshunov.aiar2026-07-11T03:20:43.793650+00:00يُعرّف شارب وآخرون تقسيم الوصول إلى السياق كمكمل لعدم المساواة الوكيلية https://korshunov.ai/en/article/10894-cognitive-structured-multimodal-agent-uses-episodic-memory-for-efficient-long/korshunov.aien2026-07-11T03:13:42.039142+00:00Cognitive-structured Multimodal Agent uses episodic memory for efficient long-horizon dialogue https://korshunov.ai/ru/article/10894-kognitivno-strukturirovannyi-multimodalnyi-agent-ispolzuet-epizodicheskuiu-dlia/korshunov.airu2026-07-11T03:13:42.039142+00:00Когнитивно-структурированный мультимодальный агент использует эпизодическую память для эффективного диалога на длительных горизонтах https://korshunov.ai/es/article/10894-agente-multimodal-estructurado-cognitivamente-utiliza-memoria-episodica-para-de/korshunov.aies2026-07-11T03:13:42.039142+00:00Agente Multimodal Estructurado Cognitivamente utiliza memoria episódica para diálogo eficiente de largo alcance https://korshunov.ai/zh-hans/article/10894-ren-zhi-jie-gou-hua-duo-mo-tai-zhi-neng-ti-shi-yong-qing-jing-ji-yi-shi-xian-gao/korshunov.aizh-cn2026-07-11T03:13:42.039142+00:00认知结构化多模态智能体使用情景记忆实现高效长程对话 https://korshunov.ai/pt-br/article/10894-agente-multimodal-estruturado-cognitivamente-usa-memoria-episodica-para-dialogo/korshunov.aipt2026-07-11T03:13:42.039142+00:00Agente Multimodal Estruturado Cognitivamente usa memória episódica para diálogo eficiente de longo prazo https://korshunov.ai/hi/article/10894-snjnyaanaatmk-snrcit-bhuaayaamii-ejentt-lnbii-avdhi-ke-snvaad-ke-lie-prbhaavii/korshunov.aihi2026-07-11T03:13:42.039142+00:00संज्ञानात्मक-संरचित बहुआयामी एजेंट लंबी अवधि के संवाद के लिए प्रभावी ढंग से घटनात्मक स्मृति का उपयोग करता है https://korshunov.ai/ja/article/10894-ren-zhi-gou-zao-hua-maruchimo-tarue-shientokaehiso-toji-yi-woyong-itexiao-lu-de/korshunov.aija2026-07-11T03:13:42.039142+00:00認知構造化マルチモーダルエージェントがエピソード記憶を用いて効率的な長期対話を実現 https://korshunov.ai/ko/article/10894-inji-gujohwa-meoltimodal-eijeonteuga-episodeu-memorireul-sayonghayeo-janggi/korshunov.aiko2026-07-11T03:13:42.039142+00:00인지 구조화 멀티모달 에이전트가 에피소드 메모리를 사용하여 효율적인 장기 대화 구현 https://korshunov.ai/fr/article/10894-un-agent-multimodal-a-structure-cognitive-utilise-la-memoire-episodique-pour-des/korshunov.aifr2026-07-11T03:13:42.039142+00:00Un agent multimodal à structure cognitive utilise la mémoire épisodique pour des dialogues longue durée efficaces https://korshunov.ai/id/article/10894-agen-multimodal-berstruktur-kognitif-menggunakan-memori-episodik-untuk-dialog/korshunov.aiid2026-07-11T03:13:42.039142+00:00Agen Multimodal Berstruktur Kognitif Menggunakan Memori Episodik untuk Dialog Jangka Panjang yang Efisien https://korshunov.ai/ar/article/10894-wkyl-mt-dd-lwsyt-bhykl-m-rfy-ystkhdm-ldhkr-l-rdy-lmhdtht-twyl-lmd-bkf/korshunov.aiar2026-07-11T03:13:42.039142+00:00وكيل متعدد الوسائط بهيكل معرفي يستخدم الذاكرة العرضية لمحادثات طويلة المدى بكفاءة https://korshunov.ai/en/article/10994-cognitive-structured-multimodal-agent-uses-episodic-memory-for-efficient-long/korshunov.aien2026-07-11T03:06:17.241236+00:00Cognitive-structured Multimodal Agent uses episodic memory for efficient long-horizon dialogue https://korshunov.ai/ru/article/10994-kognitivno-strukturirovannyi-multimodalnyi-agent-ispolzuet-epizodicheskuiu-dlia/korshunov.airu2026-07-11T03:06:17.241236+00:00Когнитивно-структурированный мультимодальный агент использует эпизодическую память для эффективного долгосрочного диалога https://korshunov.ai/es/article/10994-agente-multimodal-estructurado-cognitivamente-utiliza-memoria-episodica-para-de/korshunov.aies2026-07-11T03:06:17.241236+00:00Agente Multimodal Estructurado Cognitivamente utiliza memoria episódica para diálogo de largo alcance eficiente https://korshunov.ai/zh-hans/article/10994-ren-zhi-jie-gou-hua-duo-mo-tai-dai-li-li-yong-qing-jing-ji-yi-shi-xian-gao-xiao/korshunov.aizh-cn2026-07-11T03:06:17.241236+00:00认知结构化多模态代理利用情景记忆实现高效长程对话 https://korshunov.ai/pt-br/article/10994-agente-multimodal-estruturado-cognitivamente-usa-memoria-episodica-para-dialogo/korshunov.aipt2026-07-11T03:06:17.241236+00:00Agente Multimodal Estruturado Cognitivamente usa memória episódica para diálogo de longo alcance eficiente https://korshunov.ai/hi/article/10994-snjnyaanaatmk-snrcit-bhumoddl-ejentt-kushl-diirghkaalik-snvaad-ke-lie-kthaank/korshunov.aihi2026-07-11T03:06:17.241236+00:00संज्ञानात्मक-संरचित बहुमोडल एजेंट कुशल दीर्घकालिक संवाद के लिए कथानक स्मृति का उपयोग करता है https://korshunov.ai/ja/article/10994-ren-zhi-gou-zao-hua-maruchimo-tarue-shientokaehiso-toji-yi-woyong-itexiao-lu-de/korshunov.aija2026-07-11T03:06:17.241236+00:00認知構造化マルチモーダルエージェントがエピソード記憶を用いて効率的な長時間対話を実現 https://korshunov.ai/ko/article/10994-inji-gujohwadoen-meoltimodal-eijeonteuga-episodeu-memorireul-sayonghayeo-daehwa/korshunov.aiko2026-07-11T03:06:17.241236+00:00인지 구조화된 멀티모달 에이전트가 에피소드 메모리를 사용하여 효율적인 장기간 대화 구현 https://korshunov.ai/fr/article/10994-un-agent-multimodal-a-structure-cognitive-utilise-la-memoire-episodique-pour-des/korshunov.aifr2026-07-11T03:06:17.241236+00:00Un agent multimodal à structure cognitive utilise la mémoire épisodique pour des dialogues longs et efficaces https://korshunov.ai/id/article/10994-agen-multimodal-berstruktur-kognitif-menggunakan-memori-episodik-untuk-dialog/korshunov.aiid2026-07-11T03:06:17.241236+00:00Agen Multimodal Berstruktur Kognitif Menggunakan Memori Episodik untuk Dialog Jangka Panjang yang Efisien https://korshunov.ai/ar/article/10994-wkyl-mt-dd-lwsyt-bhykl-m-rfy-ystkhdm-ldhkr-l-rdy-lmhdtht-twyl-lmd-bkf/korshunov.aiar2026-07-11T03:06:17.241236+00:00وكيل متعدد الوسائط بهيكل معرفي يستخدم الذاكرة العرضية لمحادثات طويلة المدى بكفاءة https://korshunov.ai/zh-hans/article/10893-dui-30chong-jia-gou-zhong-de-25ge-xue-xi-lu-diao-du-qi-de-xi-tong-ping-gu/korshunov.aizh-cn2026-07-11T02:58:17.238370+00:00对30种架构中的25个学习率调度器的系统评估 https://korshunov.ai/en/article/10893-systematic-evaluation-of-25-learning-rate-schedulers-across-30-architectures/korshunov.aien2026-07-11T02:58:17.238370+00:00Systematic evaluation of 25 learning rate schedulers across 30 architectures https://korshunov.ai/ru/article/10893-sistematicheskaia-otsenka-25-planirovshchikov-skorosti-obucheniia-na-30/korshunov.airu2026-07-11T02:58:17.238370+00:00Систематическая оценка 25 планировщиков скорости обучения на 30 архитектурах https://korshunov.ai/es/article/10893-evaluacion-sistematica-de-25-programadores-de-tasa-de-aprendizaje-en-30/korshunov.aies2026-07-11T02:58:17.238370+00:00Evaluación sistemática de 25 programadores de tasa de aprendizaje en 30 arquitecturas https://korshunov.ai/pt-br/article/10893-avaliacao-sistematica-de-25-agendadores-de-taxa-de-aprendizado-em-30/korshunov.aipt2026-07-11T02:58:17.238370+00:00Avaliação sistemática de 25 agendadores de taxa de aprendizado em 30 arquiteturas https://korshunov.ai/hi/article/10893-30-aarkittekcr-pr-25-lrning-rett-sheddyuulrs-kaa-vyvsthit-muulyaankn/korshunov.aihi2026-07-11T02:58:17.238370+00:0030 आर्किटेक्चर पर 25 लर्निंग रेट शेड्यूलर्स का व्यवस्थित मूल्यांकन https://korshunov.ai/ja/article/10893-30noa-kitekuchiyaniwataru25zhong-lei-noxue-xi-lu-sukeshiyu-ra-noti-xi-de-ping/korshunov.aija2026-07-11T02:58:17.238370+00:0030のアーキテクチャにわたる25種類の学習率スケジューラーの体系的評価 https://korshunov.ai/ko/article/10893-30gae-akitegceoe-geolcin-25gae-hagseubryul-seukejulreoyi-cegyejeog-pyeongga/korshunov.aiko2026-07-11T02:58:17.238370+00:0030개 아키텍처에 걸친 25개 학습률 스케줄러의 체계적 평가 https://korshunov.ai/fr/article/10893-evaluation-systematique-de-25-planificateurs-de-taux-d-apprentissage-sur-30/korshunov.aifr2026-07-11T02:58:17.238370+00:00Évaluation systématique de 25 planificateurs de taux d'apprentissage sur 30 architectures https://korshunov.ai/id/article/10893-evaluasi-sistematis-25-penjadwal-learning-rate-di-seluruh-30-arsitektur/korshunov.aiid2026-07-11T02:58:17.238370+00:00Evaluasi sistematis 25 penjadwal learning rate di seluruh 30 arsitektur https://korshunov.ai/ar/article/10893-tqyym-mnhjy-l-25-mnjdl-m-dl-lt-lm-br-30-bny/korshunov.aiar2026-07-11T02:58:17.238370+00:00تقييم منهجي لـ 25 منجدل معدل التعلم عبر 30 بنية https://korshunov.ai/en/article/10892-adaptive-framework-uses-sequential-testing-to-reduce-model-evaluation-costs/korshunov.aien2026-07-11T02:51:20.600551+00:00Adaptive framework uses sequential testing to reduce model evaluation costs https://korshunov.ai/ru/article/10892-adaptivnaia-sistema-ispolzuet-posledovatelnoe-testirovanie-dlia-snizheniia-na/korshunov.airu2026-07-11T02:51:20.600551+00:00Адаптивная система использует последовательное тестирование для снижения затрат на оценку моделей https://korshunov.ai/es/article/10892-un-marco-adaptativo-utiliza-pruebas-secuenciales-para-reducir-los-costos-de-de/korshunov.aies2026-07-11T02:51:20.600551+00:00Un marco adaptativo utiliza pruebas secuenciales para reducir los costos de evaluación de modelos https://korshunov.ai/zh-hans/article/10892-zi-gua-ying-kuang-jia-shi-yong-shun-xu-ce-shi-jiang-di-mo-xing-ping-gu-cheng-ben/korshunov.aizh-cn2026-07-11T02:51:20.600551+00:00自适应框架使用顺序测试降低模型评估成本 https://korshunov.ai/pt-br/article/10892-framework-adaptativo-usa-testes-sequenciais-para-reduzir-custos-de-avaliacao-de/korshunov.aipt2026-07-11T02:51:20.600551+00:00Framework adaptativo usa testes sequenciais para reduzir custos de avaliação de modelos https://korshunov.ai/hi/article/10892-anukuulii-ddhaancaa-monddl-muulyaankn-laagt-km-krne-ke-lie-krmik-priikssnn-kaa/korshunov.aihi2026-07-11T02:51:20.600551+00:00अनुकूली ढांचा मॉडल मूल्यांकन लागत कम करने के लिए क्रमिक परीक्षण का उपयोग करता है https://korshunov.ai/ja/article/10892-shi-ying-xing-hure-muwa-kuhazhu-ci-tesutowoshi-yong-shitemoteruping-jia-jian/korshunov.aija2026-07-11T02:51:20.600551+00:00適応型フレームワークは逐次テストを使用してモデル評価コストを削減する https://korshunov.ai/ko/article/10892-jeogeunghyeong-peureimweokeuneun-suncajeog-teseuteureul-sayonghayeo-model-biyong/korshunov.aiko2026-07-11T02:51:20.600551+00:00적응형 프레임워크는 순차적 테스트를 사용하여 모델 평가 비용 절감 https://korshunov.ai/fr/article/10892-un-cadre-adaptatif-utilise-des-tests-sequentiels-pour-reduire-les-couts-d-des/korshunov.aifr2026-07-11T02:51:20.600551+00:00Un cadre adaptatif utilise des tests séquentiels pour réduire les coûts d'évaluation des modèles https://korshunov.ai/id/article/10892-kerangka-kerja-adaptif-menggunakan-pengujian-berurutan-untuk-mengurangi-biaya/korshunov.aiid2026-07-11T02:51:20.600551+00:00Kerangka kerja adaptif menggunakan pengujian berurutan untuk mengurangi biaya evaluasi model https://korshunov.ai/ar/article/10892-tr-ml-tkyfy-ystkhdm-lkhtbr-lmtslsl-ltqlyl-tklyf-tqyym-lnmdhj/korshunov.aiar2026-07-11T02:51:20.600551+00:00إطار عمل تكيفي يستخدم الاختبار المتسلسل لتقليل تكاليف تقييم النماذج https://korshunov.ai/ko/article/10891-japyejeungeseo-eolgul-gamjeong-jigag-yeongureul-coejeoghwahagi-wihan-ai-yudo-mic/korshunov.aiko2026-07-11T02:44:19.046202+00:00자폐증에서 얼굴 감정 지각 연구를 최적화하기 위한 AI 유도 자극 발견 및 생성 https://korshunov.ai/en/article/10891-ai-guided-stimuli-discovery-and-generation-to-optimize-facial-emotion-perception/korshunov.aien2026-07-11T02:44:19.046202+00:00AI-guided stimuli discovery and generation to optimize facial emotion perception studies in autism https://korshunov.ai/ru/article/10891-otkrytie-i-generatsiia-stimulov-s-pomoshchiu-ii-dlia-optimizatsii-issledovanii/korshunov.airu2026-07-11T02:44:19.046202+00:00Открытие и генерация стимулов с помощью ИИ для оптимизации исследований восприятия эмоций лица при аутизме https://korshunov.ai/es/article/10891-descubrimiento-y-generacion-de-estimulos-guiados-por-ia-para-optimizar-estudios/korshunov.aies2026-07-11T02:44:19.046202+00:00Descubrimiento y generación de estímulos guiados por IA para optimizar estudios de percepción de emociones faciales en el autismo https://korshunov.ai/zh-hans/article/10891-li-yong-aiyin-dao-de-ci-ji-wu-fa-xian-yu-sheng-cheng-yi-you-hua-zi-bi-zheng-mian/korshunov.aizh-cn2026-07-11T02:44:19.046202+00:00利用AI引导的刺激物发现与生成以优化自闭症面部情绪感知研究 https://korshunov.ai/pt-br/article/10891-descoberta-e-geracao-de-estimulos-guiada-por-ia-para-otimizar-estudos-de-de-no/korshunov.aipt2026-07-11T02:44:19.046202+00:00Descoberta e geração de estímulos guiada por IA para otimizar estudos de percepção de emoções faciais no autismo https://korshunov.ai/hi/article/10891-onttijm-men-cehre-kii-bhaavnaaon-kii-dhaarnnaa-ke-adhyynon-ko-anukuulit-krne-ke/korshunov.aihi2026-07-11T02:44:19.046202+00:00ऑटिज्म में चेहरे की भावनाओं की धारणा के अध्ययनों को अनुकूलित करने के लिए AI-निर्देशित उत्तेजना खोज और उत्पादन https://korshunov.ai/ja/article/10891-zi-bi-zheng-niokeruyan-nogan-qing-zhi-jue-yan-jiu-wozui-shi-hua-surutamenoaiyou/korshunov.aija2026-07-11T02:44:19.046202+00:00自閉症における顔の感情知覚研究を最適化するためのAI誘導による刺激の発見と生成 https://korshunov.ai/fr/article/10891-decouverte-et-generation-de-stimuli-guidees-par-l-ia-pour-optimiser-les-etudes-l/korshunov.aifr2026-07-11T02:44:19.046202+00:00Découverte et génération de stimuli guidées par l'IA pour optimiser les études sur la perception des émotions faciales dans l'autisme https://korshunov.ai/id/article/10891-penemuan-dan-generasi-stimulus-yang-dipandu-ai-untuk-mengoptimalkan-studi-emosi/korshunov.aiid2026-07-11T02:44:19.046202+00:00Penemuan dan generasi stimulus yang dipandu AI untuk mengoptimalkan studi persepsi emosi wajah pada autisme https://korshunov.ai/ar/article/10891-ktshf-wtwlyd-lmhfzt-lmwjh-bldhk-lstn-y-lthsyn-drst-drk-lmsh-r-lwjhy-fy-ltwhd/korshunov.aiar2026-07-11T02:44:19.046202+00:00اكتشاف وتوليد المحفزات الموجهة بالذكاء الاصطناعي لتحسين دراسات إدراك المشاعر الوجهية في التوحد https://korshunov.ai/en/article/11089-openai-rolls-out-gpt-5-6-with-model-stratification-and-agent-ux-meta-releases-1/korshunov.aien2026-07-11T02:34:47.952233+00:00OpenAI rolls out GPT-5.6 with model stratification and agent UX; Meta releases Muse Spark 1.1 https://korshunov.ai/id/article/11089-openai-meluncurkan-gpt-5-6-dengan-stratifikasi-model-dan-ux-agen-meta-merilis-1/korshunov.aiid2026-07-11T02:34:47.952233+00:00OpenAI meluncurkan GPT-5.6 dengan stratifikasi model dan UX agen; Meta merilis Muse Spark 1.1 https://korshunov.ai/ru/article/11089-openai-vypustila-gpt-5-6-s-razdeleniem-modelei-i-agentnym-ux-meta-predstavila-1/korshunov.airu2026-07-11T02:34:47.952233+00:00OpenAI выпустила GPT-5.6 с разделением моделей и агентным UX; Meta представила Muse Spark 1.1 https://korshunov.ai/es/article/11089-openai-lanza-gpt-5-6-con-estratificacion-de-modelos-y-ux-de-agente-meta-libera-1/korshunov.aies2026-07-11T02:34:47.952233+00:00OpenAI lanza GPT-5.6 con estratificación de modelos y UX de agente; Meta libera Muse Spark 1.1 https://korshunov.ai/zh-hans/article/11089-openai-tui-chu-dai-you-mo-xing-fen-ceng-he-dai-li-ux-de-gpt-5-6-meta-fa-bu-muse/korshunov.aizh-cn2026-07-11T02:34:47.952233+00:00OpenAI 推出带有模型分层和代理 UX 的 GPT-5.6；Meta 发布 Muse Spark 1.1 https://korshunov.ai/pt-br/article/11089-openai-lanca-gpt-5-6-com-estratificacao-de-modelos-e-ux-de-agente-meta-libera-1/korshunov.aipt2026-07-11T02:34:47.952233+00:00OpenAI lança GPT-5.6 com estratificação de modelos e UX de agente; Meta libera Muse Spark 1.1 https://korshunov.ai/hi/article/11089-openai-ne-monddl-sttrettiphikeshn-aur-ejentt-ux-ke-saath-gpt-5-6-lonnc-kiyaa-ne/korshunov.aihi2026-07-11T02:34:47.952233+00:00OpenAI ने मॉडल स्ट्रेटिफिकेशन और एजेंट UX के साथ GPT-5.6 लॉन्च किया; Meta ने Muse Spark 1.1 जारी किया https://korshunov.ai/ja/article/11089-openaikamoterujie-ceng-hua-toe-shientouxwobei-etagpt-5-6wozhan-kai-metakamuse-1/korshunov.aija2026-07-11T02:34:47.952233+00:00OpenAIがモデル階層化とエージェントUXを備えたGPT-5.6を展開；MetaがMuse Spark 1.1をリリース https://korshunov.ai/ko/article/11089-openai-model-gyeceunghwa-mic-eijeonteu-uxreul-gajcun-gpt-5-6-culsi-meta-muse-1-1/korshunov.aiko2026-07-11T02:34:47.952233+00:00OpenAI, 모델 계층화 및 에이전트 UX를 갖춘 GPT-5.6 출시; Meta, Muse Spark 1.1 발표 https://korshunov.ai/fr/article/11089-openai-deploie-gpt-5-6-avec-stratification-des-modeles-et-ux-agent-meta-lance-1/korshunov.aifr2026-07-11T02:34:47.952233+00:00OpenAI déploie GPT-5.6 avec stratification des modèles et UX agent ; Meta lance Muse Spark 1.1 https://korshunov.ai/ar/article/11089-openai-ttrh-gpt-5-6-m-tjzy-lnmdhj-wwjh-mstkhdm-llwkyl-meta-ttlq-muse-spark-1-1/korshunov.aiar2026-07-11T02:34:47.952233+00:00OpenAI تطرح GPT-5.6 مع تجزئة النماذج وواجهة مستخدم للوكيل؛ Meta تطلق Muse Spark 1.1 https://korshunov.ai/en/article/11092-lordneel-releases-gguf-quants-for-tencent-hy3-and-nvidia-nemotron-labs-audex/korshunov.aien2026-07-11T02:23:51.528446+00:00LordNeel releases GGUF quants for Tencent Hy3 and NVIDIA Nemotron-Labs-Audex https://korshunov.ai/ru/article/11092-lordneel-vypustil-gguf-kvantovaniia-dlia-tencent-hy3-i-nvidia-nemotron-labs/korshunov.airu2026-07-11T02:23:51.528446+00:00LordNeel выпустил GGUF-квантования для Tencent Hy3 и NVIDIA Nemotron-Labs-Audex https://korshunov.ai/es/article/11092-lordneel-lanza-cuantizaciones-gguf-para-tencent-hy3-y-nvidia-nemotron-labs-audex/korshunov.aies2026-07-11T02:23:51.528446+00:00LordNeel lanza cuantizaciones GGUF para Tencent Hy3 y NVIDIA Nemotron-Labs-Audex https://korshunov.ai/zh-hans/article/11092-lordneel-fa-bu-teng-xun-hy3-he-nvidia-nemotron-labs-audex-de-gguf-liang-hua-ban/korshunov.aizh-cn2026-07-11T02:23:51.528446+00:00LordNeel 发布腾讯 Hy3 和 NVIDIA Nemotron-Labs-Audex 的 GGUF 量化版本 https://korshunov.ai/pt-br/article/11092-lordneel-lanca-quantizacoes-gguf-para-tencent-hy3-e-nvidia-nemotron-labs-audex/korshunov.aipt2026-07-11T02:23:51.528446+00:00LordNeel lança quantizações GGUF para Tencent Hy3 e NVIDIA Nemotron-Labs-Audex https://korshunov.ai/hi/article/11092-lonrddniil-ne-tencent-hy3-aur-nvidia-nemotron-labs-audex-ke-lie-gguf-kvaantt-kie/korshunov.aihi2026-07-11T02:23:51.528446+00:00लॉर्डनील ने Tencent Hy3 और NVIDIA Nemotron-Labs-Audex के लिए GGUF क्वांट रिलीज़ किए https://korshunov.ai/ja/article/11092-lordneelkatencent-hy3oyohinvidia-nemotron-labs-audexnoggufliang-zi-hua-kai/korshunov.aija2026-07-11T02:23:51.528446+00:00LordNeelがTencent Hy3およびNVIDIA Nemotron-Labs-AudexのGGUF量子化モデルを公開 https://korshunov.ai/ko/article/11092-lordneel-tencent-hy3-mic-nvidia-nemotron-labs-audexyong-gguf-yangjahwa-model/korshunov.aiko2026-07-11T02:23:51.528446+00:00LordNeel, Tencent Hy3 및 NVIDIA Nemotron-Labs-Audex용 GGUF 양자화 모델 출시 https://korshunov.ai/fr/article/11092-lordneel-publie-les-quantifications-gguf-pour-tencent-hy3-et-nvidia-nemotron/korshunov.aifr2026-07-11T02:23:51.528446+00:00LordNeel publie les quantifications GGUF pour Tencent Hy3 et NVIDIA Nemotron-Labs-Audex https://korshunov.ai/id/article/11092-lordneel-merilis-kuantisasi-gguf-untuk-tencent-hy3-dan-nvidia-nemotron-labs/korshunov.aiid2026-07-11T02:23:51.528446+00:00LordNeel merilis kuantisasi GGUF untuk Tencent Hy3 dan NVIDIA Nemotron-Labs-Audex https://korshunov.ai/ar/article/11092-lwrdnyl-ynshr-kmyt-gguf-lnmdhj-tencent-hy3-w-nvidia-nemotron-labs-audex/korshunov.aiar2026-07-11T02:23:51.528446+00:00لوردنيل ينشر كميات GGUF لنماذج Tencent Hy3 و NVIDIA Nemotron-Labs-Audex https://korshunov.ai/en/article/11091-claude-code-v2-1-207-enables-auto-mode-by-default-and-defaults-to-claude-opus-4/korshunov.aien2026-07-11T02:00:47.913573+00:00Claude Code v2.1.207 enables Auto mode by default and defaults to Claude Opus 4.8 https://korshunov.ai/ru/article/11091-claude-code-v2-1-207-vkliuchaet-rezhim-auto-po-umolchaniiu-i-ustanavlivaet-opus/korshunov.airu2026-07-11T02:00:47.913573+00:00Claude Code v2.1.207 включает режим Auto по умолчанию и устанавливает Claude Opus 4.8 в качестве модели по умолчанию https://korshunov.ai/es/article/11091-claude-code-v2-1-207-activa-el-modo-automatico-por-defecto-y-establece-claude-4/korshunov.aies2026-07-11T02:00:47.913573+00:00Claude Code v2.1.207 activa el modo automático por defecto y establece Claude Opus 4.8 como modelo predeterminado https://korshunov.ai/zh-hans/article/11091-claude-code-v2-1-207-mo-ren-qi-yong-zi-dong-mo-shi-bing-mo-ren-shi-yong-claude-4/korshunov.aizh-cn2026-07-11T02:00:47.913573+00:00Claude Code v2.1.207 默认启用自动模式并默认使用 Claude Opus 4.8 https://korshunov.ai/pt-br/article/11091-claude-code-v2-1-207-ativa-o-modo-automatico-por-padrao-e-define-claude-opus-4-8/korshunov.aipt2026-07-11T02:00:47.913573+00:00Claude Code v2.1.207 ativa o modo automático por padrão e define Claude Opus 4.8 como padrão https://korshunov.ai/hi/article/11091-claude-code-v2-1-207-men-ddiphonltt-ruup-se-ontto-modd-skssm-aur-klondd-ops-4-8/korshunov.aihi2026-07-11T02:00:47.913573+00:00Claude Code v2.1.207 में डिफ़ॉल्ट रूप से ऑटो मोड सक्षम और क्लॉड ओपस 4.8 को डिफ़ॉल्ट मॉडल के रूप में निर्धारित https://korshunov.ai/ja/article/11091-claude-code-v2-1-207-te-auto-mo-tokatehuorutoteyou-xiao-hua-sare-claude-opus-4-8/korshunov.aija2026-07-11T02:00:47.913573+00:00Claude Code v2.1.207 で Auto モードがデフォルトで有効化され、Claude Opus 4.8 がデフォルトモデルに https://korshunov.ai/ko/article/11091-claude-code-v2-1-207-auto-modeu-gibon-hwalseonghwa-mic-claude-opus-4-8-gibon/korshunov.aiko2026-07-11T02:00:47.913573+00:00Claude Code v2.1.207, Auto 모드 기본 활성화 및 Claude Opus 4.8 기본 모델 적용 https://korshunov.ai/fr/article/11091-claude-code-v2-1-207-active-le-mode-auto-par-defaut-et-definit-claude-opus-4-8/korshunov.aifr2026-07-11T02:00:47.913573+00:00Claude Code v2.1.207 active le mode Auto par défaut et définit Claude Opus 4.8 comme modèle par défaut https://korshunov.ai/id/article/11091-claude-code-v2-1-207-mengaktifkan-mode-auto-secara-default-dan-menetapkan-claude/korshunov.aiid2026-07-11T02:00:47.913573+00:00Claude Code v2.1.207 mengaktifkan mode Auto secara default dan menetapkan Claude Opus 4.8 sebagai model default https://korshunov.ai/ar/article/11091-yumkwn-claude-code-v2-1-207-lwd-ltlqyy-ftrdyan-wyhdd-claude-opus-4-8-knmwdhj/korshunov.aiar2026-07-11T02:00:47.913573+00:00يُمكّن Claude Code v2.1.207 الوضع التلقائي افتراضيًا ويحدد Claude Opus 4.8 كنموذج افتراضي https://korshunov.ai/en/article/10993-ai-guided-stimuli-discovery-and-generation-to-optimize-facial-emotion-perception/korshunov.aien2026-07-11T01:45:52.644725+00:00AI-guided stimuli discovery and generation to optimize facial emotion perception studies in autism https://korshunov.ai/ko/article/10993-japyejeungeseo-eolgul-gamjeong-jigag-yeongureul-coejeoghwahagi-wihan-ai-yudo-mic/korshunov.aiko2026-07-11T01:45:52.644725+00:00자폐증에서 얼굴 감정 지각 연구를 최적화하기 위한 AI 유도 자극 발견 및 생성 https://korshunov.ai/ru/article/10993-otkrytie-i-generatsiia-stimulov-s-pomoshchiu-ii-dlia-optimizatsii-issledovanii/korshunov.airu2026-07-11T01:45:52.644725+00:00Открытие и генерация стимулов с помощью ИИ для оптимизации исследований восприятия эмоций лица при аутизме https://korshunov.ai/es/article/10993-descubrimiento-y-generacion-de-estimulos-guiados-por-ia-para-optimizar-estudios/korshunov.aies2026-07-11T01:45:52.644725+00:00Descubrimiento y generación de estímulos guiados por IA para optimizar estudios de percepción de emociones faciales en el autismo https://korshunov.ai/zh-hans/article/10993-li-yong-aiyin-dao-de-ci-ji-fa-xian-yu-sheng-cheng-you-hua-zi-bi-zheng-mian-bu-xu/korshunov.aizh-cn2026-07-11T01:45:52.644725+00:00利用AI引导的刺激发现与生成优化自闭症面部情绪感知研究 https://korshunov.ai/pt-br/article/10993-descoberta-e-geracao-de-estimulos-guiada-por-ia-para-otimizar-estudos-de-de-no/korshunov.aipt2026-07-11T01:45:52.644725+00:00Descoberta e geração de estímulos guiada por IA para otimizar estudos de percepção de emoções faciais no autismo https://korshunov.ai/hi/article/10993-onttijm-men-cehre-kii-bhaavnaaon-ke-dhaarnnaa-adhyynon-ko-anukuulit-krne-ke-lie/korshunov.aihi2026-07-11T01:45:52.644725+00:00ऑटिज्म में चेहरे की भावनाओं के धारणा अध्ययनों को अनुकूलित करने के लिए AI-निर्देशित उत्तेजना खोज और उत्पादन https://korshunov.ai/ja/article/10993-zi-bi-zheng-niokeruyan-nogan-qing-zhi-jue-yan-jiu-wozui-shi-hua-surutamenoaiyou/korshunov.aija2026-07-11T01:45:52.644725+00:00自閉症における顔の感情知覚研究を最適化するためのAI誘導による刺激の発見と生成 https://korshunov.ai/fr/article/10993-decouverte-et-generation-de-stimuli-guidees-par-l-ia-pour-optimiser-les-etudes-l/korshunov.aifr2026-07-11T01:45:52.644725+00:00Découverte et génération de stimuli guidées par l'IA pour optimiser les études sur la perception des émotions faciales dans l'autisme https://korshunov.ai/id/article/10993-penemuan-dan-generasi-stimulus-yang-dipandu-ai-untuk-mengoptimalkan-studi-emosi/korshunov.aiid2026-07-11T01:45:52.644725+00:00Penemuan dan generasi stimulus yang dipandu AI untuk mengoptimalkan studi persepsi emosi wajah pada autisme https://korshunov.ai/ar/article/10993-ktshf-wtwlyd-mhfzt-mwjh-bldhk-lstn-y-lthsyn-drst-drk-lmsh-r-lwjhy-fy-ltwhd/korshunov.aiar2026-07-11T01:45:52.644725+00:00اكتشاف وتوليد محفزات موجهة بالذكاء الاصطناعي لتحسين دراسات إدراك المشاعر الوجهية في التوحد https://korshunov.ai/en/article/10992-auditing-llm-as-judge-reliability-judge-upgrades-are-not-interchangeable/korshunov.aien2026-07-11T01:39:30.570533+00:00Auditing LLM-as-Judge Reliability: Judge Upgrades Are Not Interchangeable https://korshunov.ai/ru/article/10992-audit-nadezhnosti-llm-as-judge-obnovleniia-sudei-ne-vzaimozameniaemy/korshunov.airu2026-07-11T01:39:30.570533+00:00Аудит надежности LLM-as-Judge: обновления судей не взаимозаменяемы https://korshunov.ai/es/article/10992-auditoria-de-la-fiabilidad-del-juez-llm-las-actualizaciones-del-juez-no-son/korshunov.aies2026-07-11T01:39:30.570533+00:00Auditoría de la fiabilidad del juez LLM: las actualizaciones del juez no son intercambiables https://korshunov.ai/zh-hans/article/10992-shen-ji-llm-as-judgede-ke-kao-xing-fa-guan-sheng-ji-bing-fei-ke-hu-huan/korshunov.aizh-cn2026-07-11T01:39:30.570533+00:00审计LLM-as-Judge的可靠性：法官升级并非可互换 https://korshunov.ai/pt-br/article/10992-auditoria-da-confiabilidade-do-llm-as-judge-atualizacoes-de-juiz-nao-sao/korshunov.aipt2026-07-11T01:39:30.570533+00:00Auditoria da confiabilidade do LLM-as-Judge: atualizações de juiz não são intercambiáveis https://korshunov.ai/hi/article/10992-llm-as-judge-kii-vishvsniiytaa-kaa-ondditt-jj-apgredd-adlaa-bdlii-yogy-nhiin/korshunov.aihi2026-07-11T01:39:30.570533+00:00LLM-as-Judge की विश्वसनीयता का ऑडिट: जज अपग्रेड अदला-बदली योग्य नहीं हैं https://korshunov.ai/ja/article/10992-llm-as-judgenoxin-lai-xing-jian-cha-shiyatsushinoatsuhukure-tohaxiang-hu-jiao-ke/korshunov.aija2026-07-11T01:39:30.570533+00:00LLM-as-Judgeの信頼性監査：ジャッジのアップグレードは相互交換可能ではない https://korshunov.ai/ko/article/10992-llm-as-judge-sinroeseong-gamsa-pansa-eobgeureideuneun-sangho-gyohwan-ganeunghaji/korshunov.aiko2026-07-11T01:39:30.570533+00:00LLM-as-Judge 신뢰성 감사: 판사 업그레이드는 상호 교환 가능하지 않음 https://korshunov.ai/fr/article/10992-audit-de-la-fiabilite-du-juge-llm-les-mises-a-niveau-des-juges-ne-sont-pas/korshunov.aifr2026-07-11T01:39:30.570533+00:00Audit de la fiabilité du juge LLM : les mises à niveau des juges ne sont pas interchangeables https://korshunov.ai/id/article/10992-audit-keandalan-llm-as-judge-peningkatan-juri-tidak-dapat-dipertukarkan/korshunov.aiid2026-07-11T01:39:30.570533+00:00Audit Keandalan LLM-as-Judge: Peningkatan Juri Tidak Dapat Dipertukarkan https://korshunov.ai/ar/article/10992-mrj-mwthwqy-hkm-nmwdhj-llg-lkbyr-trqy-lqd-lyst-qbl-lltbdyl/korshunov.aiar2026-07-11T01:39:30.570533+00:00مراجعة موثوقية حكم نموذج اللغة الكبير: ترقية القضاة ليست قابلة للتبديل https://korshunov.ai/zh-hans/article/10890-xin-suan-fa-shi-xian-heng-ding-xiang-guan-xing-xia-de-gao-wei-pu-lu-ke-lei-si-pi/korshunov.aizh-cn2026-07-11T01:32:01.880629+00:00新算法实现恒定相关性下的高维普鲁克雷斯匹配 https://korshunov.ai/en/article/10890-new-algorithm-enables-high-dimensional-procrustes-matching-at-constant/korshunov.aien2026-07-11T01:32:01.880629+00:00New algorithm enables high-dimensional Procrustes matching at constant correlation https://korshunov.ai/ru/article/10890-novyi-algoritm-obespechivaet-vysokorazmernoe-prokrustovo-sopostavlenie-pri/korshunov.airu2026-07-11T01:32:01.880629+00:00Новый алгоритм обеспечивает высокоразмерное прокрустово сопоставление при постоянной корреляции https://korshunov.ai/es/article/10890-un-nuevo-algoritmo-permite-la-coincidencia-de-procrustes-de-alta-dimension-con/korshunov.aies2026-07-11T01:32:01.880629+00:00Un nuevo algoritmo permite la coincidencia de Procrustes de alta dimensión con correlación constante https://korshunov.ai/pt-br/article/10890-novo-algoritmo-permite-correspondencia-de-procrustes-de-alta-dimensao-com/korshunov.aipt2026-07-11T01:32:01.880629+00:00Novo algoritmo permite correspondência de Procrustes de alta dimensão com correlação constante https://korshunov.ai/hi/article/10890-nyaa-elgoridm-sthir-shsnbndh-ke-saath-ucc-aayaamii-proksttis-milaan-ko-skssm-hai/korshunov.aihi2026-07-11T01:32:01.880629+00:00नया एल्गोरिदम स्थिर सहसंबंध के साथ उच्च-आयामी प्रोक्स्टिस मिलान को सक्षम बनाता है https://korshunov.ai/ja/article/10890-xin-shiiarukorisumuniyori-yi-ding-noxiang-guan-tegao-ci-yuan-neng-ni/korshunov.aija2026-07-11T01:32:01.880629+00:00新しいアルゴリズムにより、一定の相関で高次元のプロクレスティングマッチングが可能に https://korshunov.ai/ko/article/10890-iljeonghan-sanggwangwangyero-gocaweon-peurokeureseu-jeongryeoleul-ganeunghage/korshunov.aiko2026-07-11T01:32:01.880629+00:00일정한 상관관계로 고차원 프로크레스 정렬을 가능하게 하는 새로운 알고리즘 https://korshunov.ai/fr/article/10890-un-nouvel-algorithme-permet-la-mise-en-correspondance-de-procrustes-a-haute-avec/korshunov.aifr2026-07-11T01:32:01.880629+00:00Un nouvel algorithme permet la mise en correspondance de Procrustes à haute dimension avec une corrélation constante https://korshunov.ai/id/article/10890-algoritma-baru-memungkinkan-pencocokan-procrustes-berdimensi-tinggi-dengan/korshunov.aiid2026-07-11T01:32:01.880629+00:00Algoritma baru memungkinkan pencocokan Procrustes berdimensi tinggi dengan korelasi konstan https://korshunov.ai/ar/article/10890-khwrzmy-jdyd-ttyh-mtbq-brwksts-ly-lb-d-bnsb-rtbt-thbt/korshunov.aiar2026-07-11T01:32:01.880629+00:00خوارزمية جديدة تتيح مطابقة بروكستس عالية الأبعاد بنسبة ارتباط ثابتة https://korshunov.ai/en/article/10991-docmaster-introduces-hierarchical-structure-aware-document-analysis-system/korshunov.aien2026-07-11T01:25:02.980243+00:00DocMaster introduces hierarchical structure-aware document analysis system https://korshunov.ai/ru/article/10991-docmaster-predstavliaet-sistemu-analiza-dokumentov-s-uchetom-ierarkhicheskoi/korshunov.airu2026-07-11T01:25:02.980243+00:00DocMaster представляет систему анализа документов с учётом иерархической структуры https://korshunov.ai/es/article/10991-docmaster-presenta-un-sistema-de-analisis-de-documentos-consciente-de-la/korshunov.aies2026-07-11T01:25:02.980243+00:00DocMaster presenta un sistema de análisis de documentos consciente de la estructura jerárquica https://korshunov.ai/zh-hans/article/10991-docmaster-tui-chu-ceng-ji-jie-gou-gan-zhi-wen-dang-fen-xi-xi-tong/korshunov.aizh-cn2026-07-11T01:25:02.980243+00:00DocMaster 推出层级结构感知文档分析系统 https://korshunov.ai/pt-br/article/10991-docmaster-apresenta-sistema-de-analise-de-documentos-consciente-da-estrutura/korshunov.aipt2026-07-11T01:25:02.980243+00:00DocMaster apresenta sistema de análise de documentos consciente da estrutura hierárquica https://korshunov.ai/hi/article/10991-docmaster-ne-pdaanukrm-snrcnaa-jaagruuk-dstaavej-vishlessnn-prnnaalii-kaa-pricy/korshunov.aihi2026-07-11T01:25:02.980243+00:00DocMaster ने पदानुक्रम संरचना-जागरूक दस्तावेज़ विश्लेषण प्रणाली का परिचय दिया https://korshunov.ai/ja/article/10991-docmasterkajie-ceng-gou-zao-ren-shi-xing-tokiyumentofen-xi-shisutemuwodao-ru/korshunov.aija2026-07-11T01:25:02.980243+00:00DocMasterが階層構造認識型ドキュメント分析システムを導入 https://korshunov.ai/ko/article/10991-docmasterga-gyeceung-gujo-insig-munseo-bunseog-siseutem-doib/korshunov.aiko2026-07-11T01:25:02.980243+00:00DocMaster가 계층 구조 인식 문서 분석 시스템 도입 https://korshunov.ai/fr/article/10991-docmaster-introduit-un-systeme-d-analyse-de-documents-conscient-de-la-structure/korshunov.aifr2026-07-11T01:25:02.980243+00:00DocMaster introduit un système d'analyse de documents conscient de la structure hiérarchique https://korshunov.ai/id/article/10991-docmaster-memperkenalkan-sistem-analisis-dokumen-yang-sadar-struktur-hierarkis/korshunov.aiid2026-07-11T01:25:02.980243+00:00DocMaster memperkenalkan sistem analisis dokumen yang sadar struktur hierarkis https://korshunov.ai/ar/article/10991-docmaster-tqdm-nzm-thlyl-mstndt-ydrk-lhykl-lhrmy/korshunov.aiar2026-07-11T01:25:02.980243+00:00DocMaster تقدم نظام تحليل مستندات يدرك الهيكل الهرمي https://korshunov.ai/zh-hans/article/10990-vocadet-tong-guo-shi-jue-biao-ji-hua-shi-xian-yang-ben-qu-dong-de-kai-fang-ci-ce/korshunov.aizh-cn2026-07-11T01:18:52.973754+00:00VocaDet 通过视觉标记化实现样本驱动的开放词汇检测 https://korshunov.ai/en/article/10990-vocadet-enables-sample-driven-open-vocabulary-detection-via-visual-tokenization/korshunov.aien2026-07-11T01:18:52.973754+00:00VocaDet enables sample-driven open-vocabulary detection via visual tokenization https://korshunov.ai/ru/article/10990-vocadet-obespechivaet-obnaruzhenie-s-otkrytym-slovarem-na-osnove-obraztsov/korshunov.airu2026-07-11T01:18:52.973754+00:00VocaDet обеспечивает обнаружение с открытым словарём на основе образцов через визуальную токенизацию https://korshunov.ai/es/article/10990-vocadet-permite-la-deteccion-de-vocabulario-abierto-impulsada-por-muestras/korshunov.aies2026-07-11T01:18:52.973754+00:00VocaDet permite la detección de vocabulario abierto impulsada por muestras mediante tokenización visual https://korshunov.ai/pt-br/article/10990-vocadet-permite-deteccao-de-vocabulario-aberto-orientada-por-amostras-via-visual/korshunov.aipt2026-07-11T01:18:52.973754+00:00VocaDet permite detecção de vocabulário aberto orientada por amostras via tokenização visual https://korshunov.ai/hi/article/10990-vocadet-drshy-ttoknaaijeshn-ke-maadhym-se-nmuune-sncaalit-opn-vokaabulrii-skssm/korshunov.aihi2026-07-11T01:18:52.973754+00:00VocaDet दृश्य टोकनाइज़ेशन के माध्यम से नमूने-संचालित ओपन-वोकाबुलरी डिटेक्शन सक्षम बनाता है https://korshunov.ai/ja/article/10990-vocadethashi-jue-de-to-kunhua-niyorisanhuruqu-dong-xing-noo-hunhokiyahurarijian/korshunov.aija2026-07-11T01:18:52.973754+00:00VocaDetは視覚的トークン化によりサンプル駆動型のオープンボキャブラリ検出を可能にする https://korshunov.ai/ko/article/10990-vocadetneun-sigagjeog-tokeunhwareul-tonghae-saempeul-giban-opeun-eohwi-ham/korshunov.aiko2026-07-11T01:18:52.973754+00:00VocaDet는 시각적 토큰화를 통해 샘플 기반 오픈 어휘 검출을 가능하게 함 https://korshunov.ai/fr/article/10990-vocadet-permet-la-detection-a-vocabulaire-ouvert-pilotee-par-des-echantillons-la/korshunov.aifr2026-07-11T01:18:52.973754+00:00VocaDet permet la détection à vocabulaire ouvert pilotée par des échantillons via la tokenisation visuelle https://korshunov.ai/id/article/10990-vocadet-memungkinkan-deteksi-kosakata-terbuka-yang-digerakkan-oleh-sampel-visual/korshunov.aiid2026-07-11T01:18:52.973754+00:00VocaDet memungkinkan deteksi kosakata terbuka yang digerakkan oleh sampel melalui tokenisasi visual https://korshunov.ai/ar/article/10990-ytyh-vocadet-lkshf-bmfrdt-mftwh-mdfw-an-bl-ynt-br-ltrmyz-lbsry/korshunov.aiar2026-07-11T01:18:52.973754+00:00يتيح VocaDet الكشف بمفردات مفتوحة مدفوعًا بالعينات عبر الترميز البصري https://korshunov.ai/en/article/10889-gabor-latent-refactorization-reduces-structural-bottlenecks-in-end-to-end-audio/korshunov.aien2026-07-11T01:11:10.955194+00:00Gabor Latent Refactorization reduces structural bottlenecks in end-to-end audio models https://korshunov.ai/ru/article/10889-gaborova-latentnaia-refaktorizatsiia-ustraniaet-strukturnye-uzkie-mesta-v-audio/korshunov.airu2026-07-11T01:11:10.955194+00:00Габорова латентная рефакторизация устраняет структурные узкие места в сквозных аудио-моделях https://korshunov.ai/es/article/10889-la-refactorizacion-latente-de-gabor-reduce-cuellos-de-botella-estructurales-en-a/korshunov.aies2026-07-11T01:11:10.955194+00:00La refactorización latente de Gabor reduce cuellos de botella estructurales en modelos de audio de extremo a extremo https://korshunov.ai/zh-hans/article/10889-jia-bo-qian-bian-liang-zhong-gou-jian-shao-liao-duan-dao-duan-yin-pin-mo-xing-de/korshunov.aizh-cn2026-07-11T01:11:10.955194+00:00加伯潜变量重构减少了端到端音频模型中的结构瓶颈 https://korshunov.ai/pt-br/article/10889-a-refatorizacao-latente-de-gabor-reduz-gargalos-estruturais-em-modelos-de-audio/korshunov.aipt2026-07-11T01:11:10.955194+00:00A Refatorização Latente de Gabor reduz gargalos estruturais em modelos de áudio de ponta a ponta https://korshunov.ai/hi/article/10889-gaabr-laittentt-riiphaikttriikrnn-endd-ttuu-endd-onddiyo-monddl-men-snrcnaatmk/korshunov.aihi2026-07-11T01:11:10.955194+00:00गाबर लैटेंट रीफैक्टरीकरण एंड-टू-एंड ऑडियो मॉडल में संरचनात्मक बाधाओं को कम करता है https://korshunov.ai/ja/article/10889-kaho-ruqian-zai-zai-gou-cheng-niyorientotsu-entoyin-sheng-moterunogou-zao-de/korshunov.aija2026-07-11T01:11:10.955194+00:00ガボール潜在再構成によりエンドツーエンド音声モデルの構造的ボトルネックを解消 https://korshunov.ai/ko/article/10889-gaboreu-jamjae-jaeguseongeuro-endeutuendeu-odio-modelyi-gujojeog-byeongmog-haeso/korshunov.aiko2026-07-11T01:11:10.955194+00:00가보르 잠재 재구성으로 엔드투엔드 오디오 모델의 구조적 병목 현상 해소 https://korshunov.ai/fr/article/10889-la-refactorisation-latente-de-gabor-reduit-les-goulots-d-etranglement-dans-les/korshunov.aifr2026-07-11T01:11:10.955194+00:00La refactorisation latente de Gabor réduit les goulots d'étranglement structurels dans les modèles audio de bout en bout https://korshunov.ai/id/article/10889-refaktorisasi-laten-gabor-mengurangi-hambatan-struktural-dalam-model-audio-end/korshunov.aiid2026-07-11T01:11:10.955194+00:00Refaktorisasi Laten Gabor mengurangi hambatan struktural dalam model audio end-to-end https://korshunov.ai/ar/article/10889-d-hykl-lgwsy-lkmn-tqll-mn-lkhtnqt-lhykly-fy-nmdhj-lswt-lnhyy/korshunov.aiar2026-07-11T01:11:10.955194+00:00إعادة هيكلة الغاوسية الكامنة تقلل من الاختناقات الهيكلية في نماذج الصوت النهائية https://korshunov.ai/en/article/10989-communiwave-ml-model-quantifies-informal-behavior-in-urban-communities/korshunov.aien2026-07-11T01:03:11.612924+00:00CommuniWave: ML model quantifies informal behavior in urban communities https://korshunov.ai/ru/article/10989-communiwave-model-mashinnogo-obucheniia-kolichestvenno-otsenivaet-neformalnoe-v/korshunov.airu2026-07-11T01:03:11.612924+00:00CommuniWave: модель машинного обучения количественно оценивает неформальное поведение в городских сообществах https://korshunov.ai/es/article/10989-communiwave-el-modelo-de-ml-cuantifica-el-comportamiento-informal-en-comunidades/korshunov.aies2026-07-11T01:03:11.612924+00:00CommuniWave: El modelo de ML cuantifica el comportamiento informal en comunidades urbanas https://korshunov.ai/zh-hans/article/10989-communiwave-ji-qi-xue-xi-mo-xing-liang-hua-cheng-shi-she-qu-zhong-de-fei-zheng/korshunov.aizh-cn2026-07-11T01:03:11.612924+00:00CommuniWave：机器学习模型量化城市社区中的非正式行为 https://korshunov.ai/pt-br/article/10989-communiwave-modelo-de-ml-quantifica-comportamento-informal-em-comunidades/korshunov.aipt2026-07-11T01:03:11.612924+00:00CommuniWave: modelo de ML quantifica comportamento informal em comunidades urbanas https://korshunov.ai/hi/article/10989-communiwave-ml-monddl-shhrii-smudaayon-men-anaupcaarik-vyvhaar-ko-maatraatmk-se/korshunov.aihi2026-07-11T01:03:11.612924+00:00CommuniWave: ML मॉडल शहरी समुदायों में अनौपचारिक व्यवहार को मात्रात्मक रूप से मापता है https://korshunov.ai/ja/article/10989-communiwave-mlmoterukadu-shi-komiyuniteinofei-gong-shi-xing-dong-woding-liang/korshunov.aija2026-07-11T01:03:11.612924+00:00CommuniWave: MLモデルが都市コミュニティの非公式行動を定量化 https://korshunov.ai/ko/article/10989-communiwave-ml-modeli-dosi-keomyunitiyi-bigongsig-haengdongeul-jeongryanghwa/korshunov.aiko2026-07-11T01:03:11.612924+00:00CommuniWave: ML 모델이 도시 커뮤니티의 비공식 행동을 정량화 https://korshunov.ai/fr/article/10989-communiwave-un-modele-ml-quantifie-le-comportement-informel-dans-les-communautes/korshunov.aifr2026-07-11T01:03:11.612924+00:00CommuniWave : un modèle ML quantifie le comportement informel dans les communautés urbaines https://korshunov.ai/id/article/10989-communiwave-model-ml-mengkuantifikasi-perilaku-informal-di-komunitas-perkotaan/korshunov.aiid2026-07-11T01:03:11.612924+00:00CommuniWave: Model ML mengkuantifikasi perilaku informal di komunitas perkotaan https://korshunov.ai/ar/article/10989-communiwave-nmwdhj-t-lm-ll-yqys-lslwk-gyr-lrsmy-fy-lmjtm-t-lhdry/korshunov.aiar2026-07-11T01:03:11.612924+00:00CommuniWave: نموذج تعلم الآلة يقيس السلوك غير الرسمي في المجتمعات الحضرية https://korshunov.ai/en/article/10888-caad-detects-anomalies-via-multi-scale-alignment-and-structural-causal/korshunov.aien2026-07-11T00:57:18.176450+00:00CAAD detects anomalies via multi-scale alignment and structural causal consistency https://korshunov.ai/ru/article/10888-caad-obnaruzhivaet-anomalii-cherez-mnogourovnevoe-vyravnivanie-i-strukturnuiu/korshunov.airu2026-07-11T00:57:18.176450+00:00CAAD обнаруживает аномалии через многоуровневое выравнивание и структурную причинно-следственную согласованность https://korshunov.ai/es/article/10888-caad-detecta-anomalias-mediante-alineacion-multiescala-y-consistencia-causal/korshunov.aies2026-07-11T00:57:18.176450+00:00CAAD detecta anomalías mediante alineación multiescala y consistencia causal estructural https://korshunov.ai/zh-hans/article/10888-caadtong-guo-duo-chi-du-dui-qi-he-jie-gou-yin-guo-yi-zhi-xing-jian-ce-yi-chang/korshunov.aizh-cn2026-07-11T00:57:18.176450+00:00CAAD通过多尺度对齐和结构因果一致性检测异常 https://korshunov.ai/pt-br/article/10888-caad-detecta-anomalias-por-meio-de-alinhamento-multiescala-e-consistencia-causal/korshunov.aipt2026-07-11T00:57:18.176450+00:00CAAD detecta anomalias por meio de alinhamento multiescala e consistência causal estrutural https://korshunov.ai/hi/article/10888-caad-bhu-str-snrekhnn-aur-snrcnaatmk-paaritntrik-susngttaa-ke-maadhym-se-kaa-hai/korshunov.aihi2026-07-11T00:57:18.176450+00:00CAAD बहु-स्तर संरेखण और संरचनात्मक पारितंत्रिक सुसंगतता के माध्यम से असामान्यताओं का पता लगाता है https://korshunov.ai/ja/article/10888-caadhaduo-chi-du-araimentotogou-zao-de-yin-guo-zheng-he-xing-niyoriyi-chang-chu/korshunov.aija2026-07-11T00:57:18.176450+00:00CAADは多尺度アライメントと構造的因果整合性により異常を検出 https://korshunov.ai/ko/article/10888-caadneun-dajung-seukeil-jeongryeol-mic-gujojeog-ingwa-ilgwanseongeul-tonghae/korshunov.aiko2026-07-11T00:57:18.176450+00:00CAAD는 다중 스케일 정렬 및 구조적 인과 일관성을 통해 이상을 감지합니다 https://korshunov.ai/fr/article/10888-caad-detecte-les-anomalies-par-alignement-multi-echelle-et-coherence-causale/korshunov.aifr2026-07-11T00:57:18.176450+00:00CAAD détecte les anomalies par alignement multi-échelle et cohérence causale structurelle https://korshunov.ai/id/article/10888-caad-mendeteksi-anomali-melalui-penyelarasan-multi-skala-dan-konsistensi-kausal/korshunov.aiid2026-07-11T00:57:18.176450+00:00CAAD mendeteksi anomali melalui penyelarasan multi-skala dan konsistensi kausal struktural https://korshunov.ai/ar/article/10888-tktshf-caad-lshdhwdh-br-mhdh-mt-dd-lmqyys-wtsq-sbby-hykly/korshunov.aiar2026-07-11T00:57:18.176450+00:00تكتشف CAAD الشذوذ عبر محاذاة متعددة المقاييس واتساق سببي هيكلي https://korshunov.ai/en/article/11088-mit-researcher-releases-open-source-llm-serve-dashboard-for-local-inference/korshunov.aien2026-07-11T00:51:34.979923+00:00MIT researcher releases open-source LLM Serve Dashboard for local inference monitoring https://korshunov.ai/ru/article/11088-issledovatel-iz-mit-vypustil-panel-monitoringa-llm-serve-s-otkrytym-iskhodnym/korshunov.airu2026-07-11T00:51:34.979923+00:00Исследователь из MIT выпустил панель мониторинга LLM Serve с открытым исходным кодом для локального вывода https://korshunov.ai/es/article/11088-investigador-del-mit-lanza-panel-de-control-llm-serve-de-codigo-abierto-para-de/korshunov.aies2026-07-11T00:51:34.979923+00:00Investigador del MIT lanza panel de control LLM Serve de código abierto para monitoreo de inferencia local https://korshunov.ai/zh-hans/article/11088-mityan-jiu-ren-yuan-fa-bu-yong-yu-ben-di-tui-li-jian-kong-de-kai-yuan-llm-biao/korshunov.aizh-cn2026-07-11T00:51:34.979923+00:00MIT研究人员发布用于本地推理监控的开源LLM Serve仪表板 https://korshunov.ai/pt-br/article/11088-pesquisador-do-mit-lanca-painel-de-controle-llm-serve-de-codigo-aberto-para-de/korshunov.aipt2026-07-11T00:51:34.979923+00:00Pesquisador do MIT lança painel de controle LLM Serve de código aberto para monitoramento de inferência local https://korshunov.ai/hi/article/11088-mit-shodhkrtaa-ne-sthaaniiy-inphrens-nigraanii-ke-lie-opn-sors-llm-srv-jaarii/korshunov.aihi2026-07-11T00:51:34.979923+00:00MIT शोधकर्ता ने स्थानीय इनफरेंस निगरानी के लिए ओपन-सोर्स LLM सर्व डैशबोर्ड जारी किया https://korshunov.ai/ja/article/11088-mityan-jiu-zhe-karo-karutui-lun-jian-shi-yong-noo-hunso-sullm-servetatsushiyuho/korshunov.aija2026-07-11T00:51:34.979923+00:00MIT研究者がローカル推論監視用のオープンソースLLM Serveダッシュボードを公開 https://korshunov.ai/ko/article/11088-mit-yeonguweoni-rokeol-curon-moniteoringeul-wihan-opeunsoseu-llm-serve-gonggae/korshunov.aiko2026-07-11T00:51:34.979923+00:00MIT 연구원이 로컬 추론 모니터링을 위한 오픈소스 LLM Serve 대시보드 공개 https://korshunov.ai/fr/article/11088-un-chercheur-du-mit-publie-un-tableau-de-bord-llm-serve-open-source-pour-la-de-l/korshunov.aifr2026-07-11T00:51:34.979923+00:00Un chercheur du MIT publie un tableau de bord LLM Serve open-source pour la surveillance de l'inférence locale https://korshunov.ai/id/article/11088-peneliti-mit-merilis-dashboard-llm-serve-open-source-untuk-pemantauan-inferensi/korshunov.aiid2026-07-11T00:51:34.979923+00:00Peneliti MIT merilis Dashboard LLM Serve open-source untuk pemantauan inferensi lokal https://korshunov.ai/ar/article/11088-bhth-mn-mit-ytlq-lwh-thkm-llm-serve-mftwh-lmsdr-lmrqb-lstdll-lmhly/korshunov.aiar2026-07-11T00:51:34.979923+00:00باحث من MIT يطلق لوحة تحكم LLM Serve مفتوحة المصدر لمراقبة الاستدلال المحلي https://korshunov.ai/en/article/11087-langgraph-cli-0-4-31-allows-langgraph-api-up-to-1-0-0-and-prebuild-images-for/korshunov.aien2026-07-11T00:42:06.713107+00:00langgraph-cli 0.4.31 allows langgraph-api up to 1.0.0 and prebuild images for deploy https://korshunov.ai/ru/article/11087-langgraph-cli-0-4-31-pozvoliaet-ispolzovat-langgraph-api-do-versii-1-0-0-i-dlia/korshunov.airu2026-07-11T00:42:06.713107+00:00langgraph-cli 0.4.31 позволяет использовать langgraph-api до версии 1.0.0 и предсобранные образы для развертывания https://korshunov.ai/es/article/11087-langgraph-cli-0-4-31-permite-langgraph-api-hasta-la-version-1-0-0-e-imagenes/korshunov.aies2026-07-11T00:42:06.713107+00:00langgraph-cli 0.4.31 permite langgraph-api hasta la versión 1.0.0 e imágenes preconstruidas para implementación https://korshunov.ai/zh-hans/article/11087-langgraph-cli-0-4-31-yun-xu-shi-yong-zui-gao-1-0-0-ban-ben-de-langgraph-api-yi/korshunov.aizh-cn2026-07-11T00:42:06.713107+00:00langgraph-cli 0.4.31 允许使用最高 1.0.0 版本的 langgraph-api 以及用于部署的预构建镜像 https://korshunov.ai/id/article/11087-langgraph-cli-0-4-31-mengizinkan-langgraph-api-hingga-1-0-0-dan-gambar-pra-untuk/korshunov.aiid2026-07-11T00:42:06.713107+00:00langgraph-cli 0.4.31 mengizinkan langgraph-api hingga 1.0.0 dan gambar pra-bangun untuk deployment https://korshunov.ai/pt-br/article/11087-langgraph-cli-0-4-31-permite-langgraph-api-ate-1-0-0-e-imagens-pre-construidas/korshunov.aipt2026-07-11T00:42:06.713107+00:00langgraph-cli 0.4.31 permite langgraph-api até 1.0.0 e imagens pré-construídas para implantação https://korshunov.ai/hi/article/11087-langgraph-cli-0-4-31-langgraph-api-ko-1-0-0-tk-aur-ddiplony-ke-lie-priibildd-kii/korshunov.aihi2026-07-11T00:42:06.713107+00:00langgraph-cli 0.4.31 langgraph-api को 1.0.0 तक और डिप्लॉय के लिए प्रीबिल्ड इमेजेस की अनुमति देता है https://korshunov.ai/ja/article/11087-langgraph-cli-0-4-31-ha-langgraph-api-1-0-0-oyohitehuroiyong-hurihirutoime-to/korshunov.aija2026-07-11T00:42:06.713107+00:00langgraph-cli 0.4.31 は langgraph-api 1.0.0 およびデプロイ用プリビルドイメージをサポート https://korshunov.ai/ko/article/11087-langgraph-cli-0-4-31eun-langgraph-api-coedae-1-0-0-mic-baepoyong-sajeon-bildeu/korshunov.aiko2026-07-11T00:42:06.713107+00:00langgraph-cli 0.4.31은 langgraph-api 최대 1.0.0 및 배포용 사전 빌드 이미지를 허용합니다 https://korshunov.ai/fr/article/11087-langgraph-cli-0-4-31-permet-langgraph-api-jusqu-a-1-0-0-et-les-images-pour-le/korshunov.aifr2026-07-11T00:42:06.713107+00:00langgraph-cli 0.4.31 permet langgraph-api jusqu'à 1.0.0 et les images préconstruites pour le déploiement https://korshunov.ai/ar/article/11087-langgraph-cli-0-4-31-ysmh-b-langgraph-api-ht-lsdr-1-0-0-wswr-mu-d-msbqan-llnshr/korshunov.aiar2026-07-11T00:42:06.713107+00:00langgraph-cli 0.4.31 يسمح بـ langgraph-api حتى الإصدار 1.0.0 وصور مُعدة مسبقاً للنشر https://korshunov.ai/zh-hans/article/10887-ni-bian-li-lun-biao-ming-zui-xiao-dnnjie-tong-guo-te-quan-zhou-dui-qi/korshunov.aizh-cn2026-07-11T00:33:33.630660+00:00逆变理论表明最小DNN解通过特权轴对齐 https://korshunov.ai/en/article/10887-contravariance-theory-shows-minimal-dnn-solutions-align-via-privileged-axes/korshunov.aien2026-07-11T00:33:33.630660+00:00Contravariance Theory shows minimal DNN solutions align via privileged axes https://korshunov.ai/ru/article/10887-teoriia-kontravariantnosti-pokazyvaet-chto-minimalnye-resheniia-dnn-cherez-osi/korshunov.airu2026-07-11T00:33:33.630660+00:00Теория контравариантности показывает, что минимальные решения DNN согласуются через привилегированные оси https://korshunov.ai/es/article/10887-la-teoria-de-la-contravarianza-muestra-que-las-soluciones-dnn-minimas-se-alinean/korshunov.aies2026-07-11T00:33:33.630660+00:00La teoría de la contravarianza muestra que las soluciones DNN mínimas se alinean a través de ejes privilegiados https://korshunov.ai/pt-br/article/10887-teoria-da-contravariancia-mostra-que-solucoes-minimas-de-dnn-se-alinham-via/korshunov.aipt2026-07-11T00:33:33.630660+00:00Teoria da Contravariância mostra que soluções mínimas de DNN se alinham via eixos privilegiados https://korshunov.ai/hi/article/10887-knttraavairiyns-siddhaant-dikhaataa-hai-ki-nyuuntm-dnn-smaadhaan-vishess-aksson/korshunov.aihi2026-07-11T00:33:33.630660+00:00कंट्रावैरियंस सिद्धांत दिखाता है कि न्यूनतम DNN समाधान विशेष अक्षों के माध्यम से संरेखित होते हैं https://korshunov.ai/ja/article/10887-gong-bian-xing-li-lun-ha-zui-xiao-dnnsoriyu-shiyonkate-quan-zhou-wotong-shiteyi/korshunov.aija2026-07-11T00:33:33.630660+00:00共変性理論は、最小DNNソリューションが特権軸を通じて一致することを示す https://korshunov.ai/ko/article/10887-gongbyeonseong-ironeun-coeso-dnn-solrusyeoni-teuggweon-cugeul-tonghae/korshunov.aiko2026-07-11T00:33:33.630660+00:00공변성 이론은 최소 DNN 솔루션이 특권 축을 통해 정렬됨을 보여줍니다 https://korshunov.ai/fr/article/10887-la-theorie-de-la-contravariance-montre-que-les-solutions-dnn-minimales-s-via-des/korshunov.aifr2026-07-11T00:33:33.630660+00:00La théorie de la contravariance montre que les solutions DNN minimales s'alignent via des axes privilégiés https://korshunov.ai/id/article/10887-teori-kontravariansi-menunjukkan-solusi-dnn-minimal-sejajar-melalui-sumbu/korshunov.aiid2026-07-11T00:33:33.630660+00:00Teori Kontravariansi menunjukkan solusi DNN minimal sejajar melalui sumbu istimewa https://korshunov.ai/ar/article/10887-nzry-ltbyn-l-ksy-tzhr-n-lhlwl-ldny-llshbkt-l-sby-l-myq-tttbq-br-lmhwr-lmmyz/korshunov.aiar2026-07-11T00:33:33.630660+00:00نظرية التباين العكسي تظهر أن الحلول الدنيا للشبكات العصبية العميقة تتطابق عبر المحاور المميزة https://korshunov.ai/en/article/10988-smetric-improves-llm-scheduling-for-agents-via-balanced-session-centric-routing/korshunov.aien2026-07-11T00:19:55.293230+00:00SMetric improves LLM scheduling for agents via balanced session-centric routing https://korshunov.ai/ru/article/10988-smetric-uluchshaet-planirovanie-llm-dlia-agentov-za-schet-sbalansirovannoi-na/korshunov.airu2026-07-11T00:19:55.293230+00:00SMetric улучшает планирование LLM для агентов за счёт сбалансированной маршрутизации, ориентированной на сессию https://korshunov.ai/es/article/10988-smetric-mejora-la-programacion-de-llm-para-agentes-mediante-enrutamiento-en-la/korshunov.aies2026-07-11T00:19:55.293230+00:00SMetric mejora la programación de LLM para agentes mediante enrutamiento equilibrado centrado en la sesión https://korshunov.ai/zh-hans/article/10988-smetric-tong-guo-ping-heng-de-hui-hua-zhong-xin-lu-you-gai-shan-dai-li-de-llm-du/korshunov.aizh-cn2026-07-11T00:19:55.293230+00:00SMetric 通过平衡的会话中心路由改善代理的 LLM 调度 https://korshunov.ai/pt-br/article/10988-smetric-melhora-o-agendamento-de-llm-para-agentes-via-roteamento-equilibrado-na/korshunov.aipt2026-07-11T00:19:55.293230+00:00SMetric melhora o agendamento de LLM para agentes via roteamento equilibrado centrado na sessão https://korshunov.ai/hi/article/10988-smetric-sntulit-str-kendrit-ruutting-ke-maadhym-se-ejentts-ke-lie-llm-ko-hai/korshunov.aihi2026-07-11T00:19:55.293230+00:00SMetric संतुलित सत्र-केंद्रित रूटिंग के माध्यम से एजेंट्स के लिए LLM शेड्यूलिंग को सुधारता है https://korshunov.ai/ja/article/10988-smetrickaharansunoqu-retasetsushiyonzhong-xin-ru-teinkuniyorie-rinkuwogai-shan/korshunov.aija2026-07-11T00:19:55.293230+00:00SMetricがバランスの取れたセッション中心ルーティングによりエージェントのLLMスケジューリングを改善 https://korshunov.ai/ko/article/10988-smetrici-gyunhyeong-jabhin-sesyeon-jungsim-rautingeul-tonghae-eijeonteuyi-llm/korshunov.aiko2026-07-11T00:19:55.293230+00:00SMetric이 균형 잡힌 세션 중심 라우팅을 통해 에이전트의 LLM 스케줄링을 개선 https://korshunov.ai/fr/article/10988-smetric-ameliore-l-ordonnancement-llm-pour-les-agents-via-un-routage-centre-sur/korshunov.aifr2026-07-11T00:19:55.293230+00:00SMetric améliore l'ordonnancement LLM pour les agents via un routage centré sur la session et équilibré https://korshunov.ai/id/article/10988-smetric-meningkatkan-penjadwalan-llm-untuk-agen-melalui-routing-seimbang-pada/korshunov.aiid2026-07-11T00:19:55.293230+00:00SMetric meningkatkan penjadwalan LLM untuk agen melalui routing seimbang berpusat pada sesi https://korshunov.ai/ar/article/10988-thswn-smetric-jdwl-llm-llwkl-br-twjyh-mtwzn-yrkz-l-ljls/korshunov.aiar2026-07-11T00:19:55.293230+00:00تحسّن SMetric جدولة LLM للوكلاء عبر توجيه متوازن يركز على الجلسة https://korshunov.ai/en/article/10987-shap-weighted-cross-modal-expert-fusion-for-emotion-and-sentiment-recognition/korshunov.aien2026-07-11T00:12:46.444109+00:00SHAP-Weighted Cross-Modal Expert Fusion for Emotion and Sentiment Recognition: Evidence and Limits https://korshunov.ai/ru/article/10987-sliianie-kross-modalnykh-ekspertov-s-vesami-shap-dlia-raspoznavaniia-emotsii-i-i/korshunov.airu2026-07-11T00:12:46.444109+00:00Слияние кросс-модальных экспертов с весами SHAP для распознавания эмоций и тональности: доказательства и ограничения https://korshunov.ai/es/article/10987-fusion-de-expertos-intermodales-ponderada-por-shap-para-el-reconocimiento-de-y-y/korshunov.aies2026-07-11T00:12:46.444109+00:00Fusión de expertos intermodales ponderada por SHAP para el reconocimiento de emociones y sentimientos: Evidencia y límites https://korshunov.ai/zh-hans/article/10987-yong-yu-qing-xu-yu-qing-gan-shi-bie-de-shapjia-quan-kua-mo-tai-zhuan-jia-rong-he/korshunov.aizh-cn2026-07-11T00:12:46.444109+00:00用于情绪与情感识别的SHAP加权跨模态专家融合：证据与局限 https://korshunov.ai/pt-br/article/10987-fusao-de-especialistas-cross-modal-ponderada-por-shap-para-reconhecimento-de-e-e/korshunov.aipt2026-07-11T00:12:46.444109+00:00Fusão de Especialistas Cross-Modal Ponderada por SHAP para Reconhecimento de Emoção e Sentimento: Evidências e Limites https://korshunov.ai/hi/article/10987-bhaav-aur-snveg-phcaan-ke-lie-shap-bhaarit-krons-moddl-vishessjny-phyuujn-sbuut/korshunov.aihi2026-07-11T00:12:46.444109+00:00भाव और संवेग पहचान के लिए SHAP-भारित क्रॉस-मोडल विशेषज्ञ फ्यूजन: सबूत और सीमाएँ https://korshunov.ai/ja/article/10987-gan-qing-oyohigan-qing-ren-shi-notamenoshapzhong-mifu-kikurosumo-taruzhuan-men/korshunov.aija2026-07-11T00:12:46.444109+00:00感情および感情認識のためのSHAP重み付きクロスモーダル専門家融合：証拠と限界 https://korshunov.ai/ko/article/10987-gamjeong-mic-gamjeong-bunseogeul-wihan-shap-gajung-gyoca-modal-jeonmunga-yunghab/korshunov.aiko2026-07-11T00:12:46.444109+00:00감정 및 감정 분석을 위한 SHAP 가중 교차 모달 전문가 융합: 증거와 한계 https://korshunov.ai/fr/article/10987-fusion-croisee-d-experts-inter-modaux-ponderee-par-shap-pour-la-reconnaissance/korshunov.aifr2026-07-11T00:12:46.444109+00:00Fusion croisée d'experts inter-modaux pondérée par SHAP pour la reconnaissance des émotions et du sentiment : preuves et limites https://korshunov.ai/id/article/10987-fusi-ahli-lintas-modus-berbobot-shap-untuk-pengenalan-emosi-dan-sentimen-bukti/korshunov.aiid2026-07-11T00:12:46.444109+00:00Fusi Ahli Lintas-Modus Berbobot SHAP untuk Pengenalan Emosi dan Sentimen: Bukti dan Batasan https://korshunov.ai/ar/article/10987-dmj-khbr-mt-dd-lwsyt-bwzn-shap-llt-rf-l-l-wtf-wlmsh-r-ldl-wlhdwd/korshunov.aiar2026-07-11T00:12:46.444109+00:00دمج خبراء متعدد الوسائط بوزن SHAP للتعرف على العواطف والمشاعر: الأدلة والحدود 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