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<url><loc>https://korshunov.ai/zh-hans/article/16243-a-li-ba-ba-xuan-bu-qwen-3-8-max-yi-kuan-yong-you-2-4tcan-shu-qie-xia-zhou-jiang/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>zh-cn</news:language></news:publication><news:publication_date>2026-08-04T10:18:10.166396+00:00</news:publication_date><news:title>阿里巴巴宣布Qwen 3.8 Max，一款拥有2.4T参数且下周将开放权重的模型</news:title></news:news></url>
<url><loc>https://korshunov.ai/pt-br/article/16243-alibaba-anuncia-qwen-3-8-max-um-modelo-de-24t-parametros-com-pesos-abertos-que/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>pt</news:language></news:publication><news:publication_date>2026-08-04T10:18:10.166396+00:00</news:publication_date><news:title>Alibaba anuncia Qwen 3.8 Max, um modelo de 2,4T parâmetros com pesos abertos que chegará na próxima semana</news:title></news:news></url>
<url><loc>https://korshunov.ai/hi/article/16243-alibaabaa-ne-agle-sptaah-opn-vett-ke-saath-2-4t-pairaamiittr-monddl-qwen-3-8-max/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>hi</news:language></news:publication><news:publication_date>2026-08-04T10:18:10.166396+00:00</news:publication_date><news:title>अलिबाबा ने अगले सप्ताह ओपन वेट के साथ 2.4T-पैरामीटर मॉडल Qwen 3.8 Max की घोषणा की</news:title></news:news></url>
<url><loc>https://korshunov.ai/en/article/16243-alibaba-announces-qwen-3-8-max-a-2-4t-parameter-model-with-open-weights-coming/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>en</news:language></news:publication><news:publication_date>2026-08-04T10:18:10.166396+00:00</news:publication_date><news:title>Alibaba announces Qwen 3.8 Max, a 2.4T-parameter model with open weights coming next week</news:title></news:news></url>
<url><loc>https://korshunov.ai/ru/article/16243-alibaba-anonsirovala-qwen-3-8-max-model-s-24-trln-parametrov-i-otkrytymi-vesami/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ru</news:language></news:publication><news:publication_date>2026-08-04T10:18:10.166396+00:00</news:publication_date><news:title>Alibaba анонсировала Qwen 3.8 Max — модель с 2,4 трлн параметров и открытыми весами, которая выйдет на следующей неделе</news:title></news:news></url>
<url><loc>https://korshunov.ai/es/article/16243-alibaba-anuncia-qwen-3-8-max-un-modelo-de-2-4t-parametros-con-pesos-abiertos-que/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>es</news:language></news:publication><news:publication_date>2026-08-04T10:18:10.166396+00:00</news:publication_date><news:title>Alibaba anuncia Qwen 3.8 Max, un modelo de 2.4T parámetros con pesos abiertos que llegará la próxima semana</news:title></news:news></url>
<url><loc>https://korshunov.ai/ja/article/16243-arihaha-lai-zhou-gong-kai-ueitofu-kino2-4tharame-tamoteru-qwen-3-8-max-wofa-biao/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ja</news:language></news:publication><news:publication_date>2026-08-04T10:18:10.166396+00:00</news:publication_date><news:title>アリババ、来週公開ウェイト付きの2.4Tパラメータモデル「Qwen 3.8 Max」を発表</news:title></news:news></url>
<url><loc>https://korshunov.ai/ko/article/16243-alribaba-opeun-gajungcireul-gajcun-2-4t-paramiteo-model-qwen-3-8-maxreul-naeju/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ko</news:language></news:publication><news:publication_date>2026-08-04T10:18:10.166396+00:00</news:publication_date><news:title>알리바바, 오픈 가중치를 갖춘 2.4T 파라미터 모델 Qwen 3.8 Max를 발표하며 내주 출시 예정</news:title></news:news></url>
<url><loc>https://korshunov.ai/fr/article/16243-alibaba-annonce-qwen-3-8-max-un-modele-de-24t-de-parametres-avec-des-poids-la/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>fr</news:language></news:publication><news:publication_date>2026-08-04T10:18:10.166396+00:00</news:publication_date><news:title>Alibaba annonce Qwen 3.8 Max, un modèle de 2,4T de paramètres avec des poids ouverts la semaine prochaine</news:title></news:news></url>
<url><loc>https://korshunov.ai/id/article/16243-alibaba-mengumumkan-qwen-3-8-max-model-dengan-2-4t-parameter-dan-bobot-terbuka/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>id</news:language></news:publication><news:publication_date>2026-08-04T10:18:10.166396+00:00</news:publication_date><news:title>Alibaba mengumumkan Qwen 3.8 Max, model dengan 2.4T parameter dan bobot terbuka yang akan dirilis minggu depan</news:title></news:news></url>
<url><loc>https://korshunov.ai/ar/article/16243-ly-bb-t-ln-n-qwen-3-8-max-nmwdhj-b-2-4-trylywn-m-lm-bwzn-mftwh-qdm-lsbw-lmqbl/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ar</news:language></news:publication><news:publication_date>2026-08-04T10:18:10.166396+00:00</news:publication_date><news:title>علي بابا تعلن عن Qwen 3.8 Max، نموذج بـ 2.4 تريليون معلمة بأوزان مفتوحة قادمة الأسبوع المقبل</news:title></news:news></url>
<url><loc>https://korshunov.ai/en/article/16254-openai-agents-python-v0-19-3-fixes-tool-name-collisions-and-guardrail-reporting/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>en</news:language></news:publication><news:publication_date>2026-08-04T08:59:07.295383+00:00</news:publication_date><news:title>OpenAI Agents Python v0.19.3 fixes tool name collisions and guardrail reporting</news:title></news:news></url>
<url><loc>https://korshunov.ai/ja/article/16254-openai-agents-python-v0-19-3-katsu-ruming-nochong-tu-toka-tore-rureho-towoxiu/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ja</news:language></news:publication><news:publication_date>2026-08-04T08:59:07.295383+00:00</news:publication_date><news:title>OpenAI Agents Python v0.19.3 がツール名の衝突とガードレールレポートを修正</news:title></news:news></url>
<url><loc>https://korshunov.ai/ru/article/16254-openai-agents-python-v0-19-3-ispravliaet-kollizii-imen-instrumentov-i-otchetnost/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ru</news:language></news:publication><news:publication_date>2026-08-04T08:59:07.295383+00:00</news:publication_date><news:title>OpenAI Agents Python v0.19.3 исправляет коллизии имён инструментов и отчётность о защитных барьерах</news:title></news:news></url>
<url><loc>https://korshunov.ai/ar/article/16254-slht-lsdr-v0-19-3-mn-mktb-openai-agents-python-ltjwz-t-rd-sm-ldwt-wblg-hwjz-lmn/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ar</news:language></news:publication><news:publication_date>2026-08-04T08:59:07.295383+00:00</news:publication_date><news:title>إصلاحات الإصدار v0.19.3 من مكتبة OpenAI Agents Python لتجاوز تعارض أسماء الأدوات وإبلاغ حواجز الأمان</news:title></news:news></url>
<url><loc>https://korshunov.ai/es/article/16254-openai-agents-python-v0-19-3-corrige-colisiones-de-nombres-de-herramientas-e-de/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>es</news:language></news:publication><news:publication_date>2026-08-04T08:59:07.295383+00:00</news:publication_date><news:title>OpenAI Agents Python v0.19.3 corrige colisiones de nombres de herramientas e informes de guardrails</news:title></news:news></url>
<url><loc>https://korshunov.ai/zh-hans/article/16254-openai-agents-python-v0-19-3-xiu-fu-gong-ju-ming-cheng-chong-tu-he-hu-lan-bao-ti/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>zh-cn</news:language></news:publication><news:publication_date>2026-08-04T08:59:07.295383+00:00</news:publication_date><news:title>OpenAI Agents Python v0.19.3 修复工具名称冲突和护栏报告问题</news:title></news:news></url>
<url><loc>https://korshunov.ai/pt-br/article/16254-openai-agents-python-v0-19-3-corrige-colisoes-de-nomes-de-ferramentas-e-de/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>pt</news:language></news:publication><news:publication_date>2026-08-04T08:59:07.295383+00:00</news:publication_date><news:title>OpenAI Agents Python v0.19.3 corrige colisões de nomes de ferramentas e relatórios de guardrails</news:title></news:news></url>
<url><loc>https://korshunov.ai/hi/article/16254-openai-agents-python-v0-19-3-men-ttuul-naam-snghrss-aur-gaarddrel-riportting-kii/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>hi</news:language></news:publication><news:publication_date>2026-08-04T08:59:07.295383+00:00</news:publication_date><news:title>OpenAI Agents Python v0.19.3 में टूल नाम संघर्ष और गार्डरेल रिपोर्टिंग की समस्याएं हटाई गईं</news:title></news:news></url>
<url><loc>https://korshunov.ai/ko/article/16254-openai-agents-python-v0-19-3-dogu-ireum-cungdol-mic-gadeureil-bogo-sujeong/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ko</news:language></news:publication><news:publication_date>2026-08-04T08:59:07.295383+00:00</news:publication_date><news:title>OpenAI Agents Python v0.19.3 도구 이름 충돌 및 가드레일 보고 수정</news:title></news:news></url>
<url><loc>https://korshunov.ai/fr/article/16254-openai-agents-python-v0-19-3-corrige-les-collisions-de-noms-d-outils-et-le-des/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>fr</news:language></news:publication><news:publication_date>2026-08-04T08:59:07.295383+00:00</news:publication_date><news:title>OpenAI Agents Python v0.19.3 corrige les collisions de noms d'outils et le rapport des garde-fous</news:title></news:news></url>
<url><loc>https://korshunov.ai/id/article/16254-openai-agents-python-v0-19-3-memperbaiki-tabrakan-nama-alat-dan-pelaporan/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>id</news:language></news:publication><news:publication_date>2026-08-04T08:59:07.295383+00:00</news:publication_date><news:title>OpenAI Agents Python v0.19.3 memperbaiki tabrakan nama alat dan pelaporan guardrail</news:title></news:news></url>
<url><loc>https://korshunov.ai/en/article/16125-qwen-releases-qwen-cua-a-397b-a17b-native-computer-use-agent/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>en</news:language></news:publication><news:publication_date>2026-08-04T08:27:15.313812+00:00</news:publication_date><news:title>Qwen releases Qwen-CUA, a 397B-A17B native computer-use agent</news:title></news:news></url>
<url><loc>https://korshunov.ai/ru/article/16125-qwen-vypuskaet-qwen-cua-nativnogo-agenta-dlia-upravleniia-kompiuterom-na-397b/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ru</news:language></news:publication><news:publication_date>2026-08-04T08:27:15.313812+00:00</news:publication_date><news:title>Qwen выпускает Qwen-CUA, нативного агента для управления компьютером на архитектуре 397B-A17B</news:title></news:news></url>
<url><loc>https://korshunov.ai/es/article/16125-qwen-lanza-qwen-cua-un-agente-de-uso-nativo-del-ordenador-de-397b-a17b/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>es</news:language></news:publication><news:publication_date>2026-08-04T08:27:15.313812+00:00</news:publication_date><news:title>Qwen lanza Qwen-CUA, un agente de uso nativo del ordenador de 397B-A17B</news:title></news:news></url>
<url><loc>https://korshunov.ai/zh-hans/article/16125-qwenfa-bu-qwen-cua-yi-kuan-yong-you-397b-a17bcan-shu-de-yuan-sheng-ji-suan-ji-ti/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>zh-cn</news:language></news:publication><news:publication_date>2026-08-04T08:27:15.313812+00:00</news:publication_date><news:title>Qwen发布Qwen-CUA，一款拥有397B-A17B参数的原生计算机使用智能体</news:title></news:news></url>
<url><loc>https://korshunov.ai/pt-br/article/16125-qwen-lanca-qwen-cua-um-agente-nativo-de-uso-do-computador-com-397b-a17b/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>pt</news:language></news:publication><news:publication_date>2026-08-04T08:27:15.313812+00:00</news:publication_date><news:title>Qwen lança Qwen-CUA, um agente nativo de uso do computador com 397B-A17B</news:title></news:news></url>
<url><loc>https://korshunov.ai/hi/article/16125-qwen-ne-397b-a17b-naittiv-knpyuuttr-yuuj-ejentt-qwen-cua-jaarii-kiyaa/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>hi</news:language></news:publication><news:publication_date>2026-08-04T08:27:15.313812+00:00</news:publication_date><news:title>Qwen ने 397B-A17B नैटिव कंप्यूटर-यूज़ एजेंट Qwen-CUA जारी किया</news:title></news:news></url>
<url><loc>https://korshunov.ai/ja/article/16125-qwenka397b-a17bnoneiteihukonhiyu-tashi-yong-e-shiento-qwen-cua-woriri-su/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ja</news:language></news:publication><news:publication_date>2026-08-04T08:27:15.313812+00:00</news:publication_date><news:title>Qwenが397B-A17Bのネイティブコンピュータ使用エージェント「Qwen-CUA」をリリース</news:title></news:news></url>
<url><loc>https://korshunov.ai/ko/article/16125-qwen-397b-a17b-neitibeu-keompyuteo-sayong-eijeonteu-qwen-cua-culsi/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ko</news:language></news:publication><news:publication_date>2026-08-04T08:27:15.313812+00:00</news:publication_date><news:title>Qwen, 397B-A17B 네이티브 컴퓨터 사용 에이전트 Qwen-CUA 출시</news:title></news:news></url>
<url><loc>https://korshunov.ai/fr/article/16125-qwen-publie-qwen-cua-un-agent-d-utilisation-native-du-ordinateur-de-397b-a17b/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>fr</news:language></news:publication><news:publication_date>2026-08-04T08:27:15.313812+00:00</news:publication_date><news:title>Qwen publie Qwen-CUA, un agent d'utilisation native du ordinateur de 397B-A17B</news:title></news:news></url>
<url><loc>https://korshunov.ai/id/article/16125-qwen-merilis-qwen-cua-agen-penggunaan-komputer-asli-397b-a17b/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>id</news:language></news:publication><news:publication_date>2026-08-04T08:27:15.313812+00:00</news:publication_date><news:title>Qwen merilis Qwen-CUA, agen penggunaan komputer asli 397B-A17B</news:title></news:news></url>
<url><loc>https://korshunov.ai/ar/article/16125-kywn-ttlq-kywn-syw-wkyl-stkhdm-lhswb-lsly-dhw-397b-a17b/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ar</news:language></news:publication><news:publication_date>2026-08-04T08:27:15.313812+00:00</news:publication_date><news:title>كيون تطلق كيون-سيوا، وكيل استخدام الحاسوب الأصلي ذو 397B-A17B</news:title></news:news></url>
<url><loc>https://korshunov.ai/fr/article/16249-llama-cpp-b10256-parallelise-le-noyau-de-concatenation-non-contigue-pour-sycl/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>fr</news:language></news:publication><news:publication_date>2026-08-04T07:29:33.209100+00:00</news:publication_date><news:title>llama.cpp b10256 parallélise le noyau de concaténation non contiguë pour SYCL</news:title></news:news></url>
<url><loc>https://korshunov.ai/id/article/16249-llama-cpp-b10256-mem-paralelkan-kernel-penggabungan-tidak-berurutan-untuk-sycl/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>id</news:language></news:publication><news:publication_date>2026-08-04T07:29:33.209100+00:00</news:publication_date><news:title>llama.cpp b10256 mem paralelkan kernel penggabungan tidak berurutan untuk SYCL</news:title></news:news></url>
<url><loc>https://korshunov.ai/ar/article/16249-yqwm-llama-cpp-b10256-bmwzn-nw-llhq-gyr-lmtjwr-l-sycl/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ar</news:language></news:publication><news:publication_date>2026-08-04T07:29:33.209100+00:00</news:publication_date><news:title>يقوم llama.cpp b10256 بموازنة نواة الإلحاق غير المتجاور لـ SYCL</news:title></news:news></url>
<url><loc>https://korshunov.ai/en/article/16249-llama-cpp-b10256-parallelizes-the-sycl-non-contiguous-concat-kernel/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>en</news:language></news:publication><news:publication_date>2026-08-04T07:29:33.209100+00:00</news:publication_date><news:title>llama.cpp b10256 parallelizes the SYCL non-contiguous concat kernel</news:title></news:news></url>
<url><loc>https://korshunov.ai/ru/article/16249-llama-cpp-b10256-paralleliziruet-iadro-nekongruentnogo-konkatenirovaniia-dlia/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ru</news:language></news:publication><news:publication_date>2026-08-04T07:29:33.209100+00:00</news:publication_date><news:title>llama.cpp b10256 параллелизирует ядро неконгруэнтного конкатенирования для SYCL</news:title></news:news></url>
<url><loc>https://korshunov.ai/es/article/16249-llama-cpp-b10256-paraleliza-el-kernel-de-concatenacion-no-contigua-para-sycl/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>es</news:language></news:publication><news:publication_date>2026-08-04T07:29:33.209100+00:00</news:publication_date><news:title>llama.cpp b10256 paraleliza el kernel de concatenación no contigua para SYCL</news:title></news:news></url>
<url><loc>https://korshunov.ai/zh-hans/article/16249-llama-cpp-b10256-bing-xing-hua-sycl-fei-lian-xu-pin-jie-nei-he/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>zh-cn</news:language></news:publication><news:publication_date>2026-08-04T07:29:33.209100+00:00</news:publication_date><news:title>llama.cpp b10256 并行化 SYCL 非连续拼接内核</news:title></news:news></url>
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<url><loc>https://korshunov.ai/en/article/16247-llama-cpp-b10254-adds-deepseek-v4-flash-0731-template-and-updates-v4-templates/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>en</news:language></news:publication><news:publication_date>2026-08-04T07:03:44.290179+00:00</news:publication_date><news:title>llama.cpp b10254 adds DeepSeek V4 Flash 0731 template and updates V4 templates</news:title></news:news></url>
<url><loc>https://korshunov.ai/ru/article/16247-llama-cpp-b10254-dobavliaet-shablon-deepseek-v4-flash-0731-i-obnovliaet-shablony/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ru</news:language></news:publication><news:publication_date>2026-08-04T07:03:44.290179+00:00</news:publication_date><news:title>llama.cpp b10254 добавляет шаблон DeepSeek V4 Flash 0731 и обновляет шаблоны V4</news:title></news:news></url>
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<url><loc>https://korshunov.ai/fr/article/16247-llama-cpp-b10254-ajoute-le-template-deepseek-v4-flash-0731-et-met-a-jour-les-v4/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>fr</news:language></news:publication><news:publication_date>2026-08-04T07:03:44.290179+00:00</news:publication_date><news:title>llama.cpp b10254 ajoute le template DeepSeek V4 Flash 0731 et met à jour les templates V4</news:title></news:news></url>
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<url><loc>https://korshunov.ai/en/article/16246-llama-cpp-b10255-extends-onednn-sdpa-to-non-fp16-kv-caches/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>en</news:language></news:publication><news:publication_date>2026-08-04T06:48:25.012936+00:00</news:publication_date><news:title>llama.cpp b10255 extends oneDNN SDPA to non-FP16 KV caches</news:title></news:news></url>
<url><loc>https://korshunov.ai/ru/article/16246-llama-cpp-b10255-rasshiriaet-onednn-sdpa-dlia-ne-fp16-kv-keshei/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ru</news:language></news:publication><news:publication_date>2026-08-04T06:48:25.012936+00:00</news:publication_date><news:title>llama.cpp b10255 расширяет oneDNN SDPA для не-FP16 KV-кэшей</news:title></news:news></url>
<url><loc>https://korshunov.ai/es/article/16246-llama-cpp-b10255-extiende-onednn-sdpa-a-caches-kv-no-fp16/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>es</news:language></news:publication><news:publication_date>2026-08-04T06:48:25.012936+00:00</news:publication_date><news:title>llama.cpp b10255 extiende oneDNN SDPA a cachés KV no FP16</news:title></news:news></url>
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<url><loc>https://korshunov.ai/ko/article/16246-llama-cpp-b10255i-onednn-sdpareul-bifp16-kv-kaesie-hwagjang/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ko</news:language></news:publication><news:publication_date>2026-08-04T06:48:25.012936+00:00</news:publication_date><news:title>llama.cpp b10255이 oneDNN SDPA를 비FP16 KV 캐시에 확장</news:title></news:news></url>
<url><loc>https://korshunov.ai/fr/article/16246-llama-cpp-b10255-etend-onednn-sdpa-aux-caches-kv-non-fp16/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>fr</news:language></news:publication><news:publication_date>2026-08-04T06:48:25.012936+00:00</news:publication_date><news:title>llama.cpp b10255 étend oneDNN SDPA aux caches KV non-FP16</news:title></news:news></url>
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<url><loc>https://korshunov.ai/ja/article/15934-llama-cpp-b10249-kasa-ha-ni-get-info-tsu-ruwozhui-jia/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ja</news:language></news:publication><news:publication_date>2026-08-04T02:31:53.877276+00:00</news:publication_date><news:title>llama.cpp b10249 がサーバーに get_info ツールを追加</news:title></news:news></url>
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<url><loc>https://korshunov.ai/ko/article/15893-qwen3-8-max-bencimakeueseo-kimi-k3-mic-deepseek-v4-flashwa-donggeub-seongneung/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ko</news:language></news:publication><news:publication_date>2026-08-03T18:51:12.107848+00:00</news:publication_date><news:title>Qwen3.8-Max, 벤치마크에서 Kimi K3 및 DeepSeek V4 Flash와 동급 성능</news:title></news:news></url>
<url><loc>https://korshunov.ai/fr/article/15893-qwen3-8-max-egale-kimi-k3-et-deepseek-v4-flash-sur-les-benchmarks/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>fr</news:language></news:publication><news:publication_date>2026-08-03T18:51:12.107848+00:00</news:publication_date><news:title>Qwen3.8-Max égale Kimi K3 et DeepSeek V4 Flash sur les benchmarks</news:title></news:news></url>
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<url><loc>https://korshunov.ai/es/article/15891-llama-cpp-b10242-anade-un-muestreador-de-backend-cuda-para-penalizaciones/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>es</news:language></news:publication><news:publication_date>2026-08-03T18:38:51.417519+00:00</news:publication_date><news:title>llama.cpp b10242 añade un muestreador de backend CUDA para penalizaciones</news:title></news:news></url>
<url><loc>https://korshunov.ai/zh-hans/article/15891-llama-cpp-b10242-tian-jia-yong-yu-cheng-fa-de-cuda-hou-duan-cai-yang-qi/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>zh-cn</news:language></news:publication><news:publication_date>2026-08-03T18:38:51.417519+00:00</news:publication_date><news:title>llama.cpp b10242 添加用于惩罚的 CUDA 后端采样器</news:title></news:news></url>
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<url><loc>https://korshunov.ai/fr/article/15891-llama-cpp-b10242-ajoute-un-echantillonneur-de-backend-cuda-pour-les-penalites/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>fr</news:language></news:publication><news:publication_date>2026-08-03T18:38:51.417519+00:00</news:publication_date><news:title>llama.cpp b10242 ajoute un échantillonneur de backend CUDA pour les pénalités</news:title></news:news></url>
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<url><loc>https://korshunov.ai/ru/article/15884-llama-cpp-b10241-ustraniaet-gonki-dannykh-smem-v-block-reduce-dlia-cuda/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ru</news:language></news:publication><news:publication_date>2026-08-03T16:24:00.213310+00:00</news:publication_date><news:title>llama.cpp b10241 устраняет гонки данных SMEM в block_reduce для CUDA</news:title></news:news></url>
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<url><loc>https://korshunov.ai/zh-hans/article/15884-llama-cpp-b10241-xiu-fu-liao-cuda-block-reduce-zhong-de-smem-shu-ju-jing-zheng/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>zh-cn</news:language></news:publication><news:publication_date>2026-08-03T16:24:00.213310+00:00</news:publication_date><news:title>llama.cpp b10241 修复了 CUDA block_reduce 中的 SMEM 数据竞争</news:title></news:news></url>
<url><loc>https://korshunov.ai/pt-br/article/15884-llama-cpp-b10241-corrige-data-races-de-smem-no-block-reduce-do-cuda/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>pt</news:language></news:publication><news:publication_date>2026-08-03T16:24:00.213310+00:00</news:publication_date><news:title>llama.cpp b10241 corrige data-races de SMEM no block_reduce do CUDA</news:title></news:news></url>
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<url><loc>https://korshunov.ai/ja/article/15884-llama-cpp-b10241-ka-cuda-block-reduce-no-smem-te-tajing-he-woxiu-zheng/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ja</news:language></news:publication><news:publication_date>2026-08-03T16:24:00.213310+00:00</news:publication_date><news:title>llama.cpp b10241 が CUDA block_reduce の SMEM データ競合を修正</news:title></news:news></url>
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<url><loc>https://korshunov.ai/fr/article/15884-llama-cpp-b10241-corrige-les-data-races-smem-dans-block-reduce-pour-cuda/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>fr</news:language></news:publication><news:publication_date>2026-08-03T16:24:00.213310+00:00</news:publication_date><news:title>llama.cpp b10241 corrige les data-races SMEM dans block_reduce pour CUDA</news:title></news:news></url>
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<url><loc>https://korshunov.ai/ja/article/15871-arihahaka2-4zhao-harame-tanomoemoteru-qwen3-8-max-woriri-su/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ja</news:language></news:publication><news:publication_date>2026-08-03T15:06:10.243258+00:00</news:publication_date><news:title>アリババが2.4兆パラメータのMoEモデル「Qwen3.8-Max」をリリース</news:title></news:news></url>
<url><loc>https://korshunov.ai/ko/article/15871-alribaba-2-4jo-paramiteo-moe-modelin-qwen3-8-max-culsi/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ko</news:language></news:publication><news:publication_date>2026-08-03T15:06:10.243258+00:00</news:publication_date><news:title>알리바바, 2.4조 파라미터 MoE 모델인 Qwen3.8-Max 출시</news:title></news:news></url>
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<url><loc>https://korshunov.ai/ja/article/15874-import-ai-467-zi-ji-wei-chi-xing-aiuirusu-aijin-bu-nohe-supei-fen-aitochuang-zao/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ja</news:language></news:publication><news:publication_date>2026-08-03T14:40:06.583020+00:00</news:publication_date><news:title>Import AI 467: 自己維持型AIウイルス; AI進歩のペース配分; AIと創造性に関する混乱</news:title></news:news></url>
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<url><loc>https://korshunov.ai/pt-br/article/15870-podcast-lwiai-253-aborda-opus-5-gemini-3-6-kimi-k3-e-hack-no-hugging-face/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>pt</news:language></news:publication><news:publication_date>2026-08-03T13:35:47.839421+00:00</news:publication_date><news:title>Podcast LWiAI #253 aborda Opus 5, Gemini 3.6, Kimi K3 e hack no Hugging Face</news:title></news:news></url>
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<url><loc>https://korshunov.ai/fr/article/15870-le-podcast-lwiai-253-couvre-opus-5-gemini-3-6-kimi-k3-et-le-hack-de-hugging-face/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>fr</news:language></news:publication><news:publication_date>2026-08-03T13:35:47.839421+00:00</news:publication_date><news:title>Le podcast LWiAI #253 couvre Opus 5, Gemini 3.6, Kimi K3 et le hack de Hugging Face</news:title></news:news></url>
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<url><loc>https://korshunov.ai/ru/article/15869-llm-generiruet-hyperlambda-s-proverkoi-vo-vremia-vypolneniia-dlia-ustraneniia/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ru</news:language></news:publication><news:publication_date>2026-08-03T13:12:08.374441+00:00</news:publication_date><news:title>LLM генерирует Hyperlambda с проверкой во время выполнения для устранения галлюцинаций функций</news:title></news:news></url>
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<url><loc>https://korshunov.ai/en/article/15863-quesma-publishes-curated-map-of-218-tools-and-papers-for-llm-token-cost/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>en</news:language></news:publication><news:publication_date>2026-08-03T13:02:54.617990+00:00</news:publication_date><news:title>Quesma publishes curated map of 218 tools and papers for LLM token cost efficiency</news:title></news:news></url>
<url><loc>https://korshunov.ai/ru/article/15863-quesma-publikuet-curated-kartu-iz-218-instrumentov-i-statei-po-effektivnosti-v/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ru</news:language></news:publication><news:publication_date>2026-08-03T13:02:54.617990+00:00</news:publication_date><news:title>Quesma публикует curated-карту из 218 инструментов и статей по эффективности использования токенов в LLM</news:title></news:news></url>
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<url><loc>https://korshunov.ai/ko/article/15849-llama-cpp-b10237-deepseek-v3-2yong-mtp-jiweon-cuga/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ko</news:language></news:publication><news:publication_date>2026-08-03T09:02:31.101480+00:00</news:publication_date><news:title>llama.cpp b10237, DeepSeek V3.2용 MTP 지원 추가</news:title></news:news></url>
<url><loc>https://korshunov.ai/fr/article/15849-llama-cpp-b10237-ajoute-le-support-mtp-pour-deepseek-v3-2/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>fr</news:language></news:publication><news:publication_date>2026-08-03T09:02:31.101480+00:00</news:publication_date><news:title>llama.cpp b10237 ajoute le support MTP pour DeepSeek V3.2</news:title></news:news></url>
<url><loc>https://korshunov.ai/id/article/15849-llama-cpp-b10237-menambahkan-dukungan-mtp-untuk-deepseek-v3-2/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>id</news:language></news:publication><news:publication_date>2026-08-03T09:02:31.101480+00:00</news:publication_date><news:title>llama.cpp b10237 menambahkan dukungan MTP untuk DeepSeek V3.2</news:title></news:news></url>
<url><loc>https://korshunov.ai/ar/article/15849-df-llama-cpp-b10237-d-m-mtp-l-deepseek-v3-2/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ar</news:language></news:publication><news:publication_date>2026-08-03T09:02:31.101480+00:00</news:publication_date><news:title>إضافة llama.cpp b10237 دعم MTP لـ DeepSeek V3.2</news:title></news:news></url>
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<url><loc>https://korshunov.ai/en/article/15833-minimax-releases-h3-omni-modal-generative-system-on-hugging-face/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>en</news:language></news:publication><news:publication_date>2026-08-03T08:20:23.514465+00:00</news:publication_date><news:title>MiniMax releases H3 omni-modal generative system on Hugging Face</news:title></news:news></url>
<url><loc>https://korshunov.ai/ru/article/15833-minimax-vypustila-omnimodalnuiu-generativnuiu-sistemu-h3-na-hugging-face/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ru</news:language></news:publication><news:publication_date>2026-08-03T08:20:23.514465+00:00</news:publication_date><news:title>MiniMax выпустила омнимодальную генеративную систему H3 на Hugging Face</news:title></news:news></url>
<url><loc>https://korshunov.ai/es/article/15833-minimax-lanza-el-sistema-generativo-omnimodal-h3-en-hugging-face/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>es</news:language></news:publication><news:publication_date>2026-08-03T08:20:23.514465+00:00</news:publication_date><news:title>MiniMax lanza el sistema generativo omnimodal H3 en Hugging Face</news:title></news:news></url>
<url><loc>https://korshunov.ai/pt-br/article/15833-minimax-lanca-sistema-generativo-omnimodal-h3-no-hugging-face/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>pt</news:language></news:publication><news:publication_date>2026-08-03T08:20:23.514465+00:00</news:publication_date><news:title>MiniMax lança sistema generativo omnimodal H3 no Hugging Face</news:title></news:news></url>
<url><loc>https://korshunov.ai/hi/article/15833-minimax-ne-hugging-face-pr-h3-omniimoddl-jnrettiv-sisttm-jaarii-kiyaa/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>hi</news:language></news:publication><news:publication_date>2026-08-03T08:20:23.514465+00:00</news:publication_date><news:title>MiniMax ने Hugging Face पर H3 ओमनीमोडल जनरेटिव सिस्टम जारी किया</news:title></news:news></url>
<url><loc>https://korshunov.ai/ja/article/15833-minimaxkahugging-facenih3omunimo-tarusheng-cheng-shisutemuworiri-su/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ja</news:language></news:publication><news:publication_date>2026-08-03T08:20:23.514465+00:00</news:publication_date><news:title>MiniMaxがHugging FaceにH3オムニモーダル生成システムをリリース</news:title></news:news></url>
<url><loc>https://korshunov.ai/ko/article/15833-minimax-hugging-facee-h3-olmodal-saengseong-siseutem-culsi/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ko</news:language></news:publication><news:publication_date>2026-08-03T08:20:23.514465+00:00</news:publication_date><news:title>MiniMax, Hugging Face에 H3 올모달 생성 시스템 출시</news:title></news:news></url>
<url><loc>https://korshunov.ai/fr/article/15833-minimax-lance-le-systeme-generatif-omnimodal-h3-sur-hugging-face/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>fr</news:language></news:publication><news:publication_date>2026-08-03T08:20:23.514465+00:00</news:publication_date><news:title>MiniMax lance le système génératif omnimodal H3 sur Hugging Face</news:title></news:news></url>
<url><loc>https://korshunov.ai/id/article/15833-minimax-merilis-sistem-generatif-omni-modal-h3-di-hugging-face/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>id</news:language></news:publication><news:publication_date>2026-08-03T08:20:23.514465+00:00</news:publication_date><news:title>MiniMax merilis sistem generatif omni-modal H3 di Hugging Face</news:title></news:news></url>
<url><loc>https://korshunov.ai/en/article/15846-huggingface-researchers-propose-cerberus-guardian-llm-after-claude-and-gpt/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>en</news:language></news:publication><news:publication_date>2026-08-03T08:12:10.583352+00:00</news:publication_date><news:title>HuggingFace researchers propose Cerberus guardian LLM after Claude and GPT breaches</news:title></news:news></url>
<url><loc>https://korshunov.ai/ru/article/15846-issledovateli-huggingface-predlagaiut-model-strazh-cerberus-posle-intsidentov-s/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ru</news:language></news:publication><news:publication_date>2026-08-03T08:12:10.583352+00:00</news:publication_date><news:title>Исследователи HuggingFace предлагают модель-страж Cerberus после инцидентов с Claude и GPT</news:title></news:news></url>
<url><loc>https://korshunov.ai/es/article/15846-investigadores-de-huggingface-proponen-el-modelo-guardian-cerberus-tras-brechas/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>es</news:language></news:publication><news:publication_date>2026-08-03T08:12:10.583352+00:00</news:publication_date><news:title>Investigadores de HuggingFace proponen el modelo guardián Cerberus tras brechas en Claude y GPT</news:title></news:news></url>
<url><loc>https://korshunov.ai/zh-hans/article/15846-huggingfaceyan-jiu-ren-yuan-zai-claudehe-gptfa-sheng-an-quan-lou-dong-hou-ti-chu/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>zh-cn</news:language></news:publication><news:publication_date>2026-08-03T08:12:10.583352+00:00</news:publication_date><news:title>HuggingFace研究人员在Claude和GPT发生安全漏洞后提出Cerberus守护者LLM</news:title></news:news></url>
<url><loc>https://korshunov.ai/pt-br/article/15846-pesquisadores-do-huggingface-propoem-o-modelo-guardiao-cerberus-apos-violacoes-e/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>pt</news:language></news:publication><news:publication_date>2026-08-03T08:12:10.583352+00:00</news:publication_date><news:title>Pesquisadores do HuggingFace propõem o modelo guardião Cerberus após violações de Claude e GPT</news:title></news:news></url>
<url><loc>https://korshunov.ai/hi/article/15846-klaaudd-aur-jiipiittii-ke-ullnghn-ke-baad-hgingphes-shodhkrtaaon-ne-serbers-kaa/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>hi</news:language></news:publication><news:publication_date>2026-08-03T08:12:10.583352+00:00</news:publication_date><news:title>क्लाउड और जीपीटी के उल्लंघन के बाद हगिंगफेस शोधकर्ताओं ने सेरबेरस गार्डियन एलएलएम का प्रस्ताव रखा</news:title></news:news></url>
<url><loc>https://korshunov.ai/ja/article/15846-claudeyagptnoqin-hai-hou-huggingfaceyan-jiu-zhe-kacerberuska-torianllmwoti-an/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ja</news:language></news:publication><news:publication_date>2026-08-03T08:12:10.583352+00:00</news:publication_date><news:title>ClaudeやGPTの侵害後、HuggingFace研究者がCerberusガードリアンLLMを提案</news:title></news:news></url>
<url><loc>https://korshunov.ai/ko/article/15846-claude-mic-gpt-cimhae-sageon-ihu-huggingface-yeongujini-cerberus-suhoja-llm-jean/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ko</news:language></news:publication><news:publication_date>2026-08-03T08:12:10.583352+00:00</news:publication_date><news:title>Claude 및 GPT 침해 사건 이후 HuggingFace 연구진이 Cerberus 수호자 LLM 제안</news:title></news:news></url>
<url><loc>https://korshunov.ai/fr/article/15846-les-chercheurs-de-huggingface-proposent-le-gardien-llm-cerberus-apres-les-de-et/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>fr</news:language></news:publication><news:publication_date>2026-08-03T08:12:10.583352+00:00</news:publication_date><news:title>Les chercheurs de HuggingFace proposent le gardien LLM Cerberus après les brèches de Claude et GPT</news:title></news:news></url>
<url><loc>https://korshunov.ai/id/article/15846-peneliti-huggingface-mengusulkan-model-penjaga-cerberus-setelah-pelanggaran-dan/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>id</news:language></news:publication><news:publication_date>2026-08-03T08:12:10.583352+00:00</news:publication_date><news:title>Peneliti HuggingFace mengusulkan model penjaga Cerberus setelah pelanggaran Claude dan GPT</news:title></news:news></url>
<url><loc>https://korshunov.ai/ar/article/15846-bhthw-huggingface-yqtrhwn-nmwdhj-cerberus-lhrs-b-d-khtrqt-claude-wgpt/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ar</news:language></news:publication><news:publication_date>2026-08-03T08:12:10.583352+00:00</news:publication_date><news:title>باحثو HuggingFace يقترحون نموذج Cerberus الحارس بعد اختراقات Claude وGPT</news:title></news:news></url>
<url><loc>https://korshunov.ai/en/article/15845-intelshed-combines-hybrid-rag-gnn-entity-resolution-federated-learning-and-llm/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>en</news:language></news:publication><news:publication_date>2026-08-03T07:47:04.745365+00:00</news:publication_date><news:title>IntelShed combines hybrid RAG, GNN entity resolution, federated learning, and LLM multi-agent orchestration</news:title></news:news></url>
<url><loc>https://korshunov.ai/ru/article/15845-intelshed-obediniaet-gibridnyi-rag-razreshenie-sushchnostei-gnn-federativnoe-i/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ru</news:language></news:publication><news:publication_date>2026-08-03T07:47:04.745365+00:00</news:publication_date><news:title>IntelShed объединяет гибридный RAG, разрешение сущностей GNN, федеративное обучение и многоагентную оркестровку LLM</news:title></news:news></url>
<url><loc>https://korshunov.ai/es/article/15845-intelshed-combina-rag-hibrido-resolucion-de-entidades-gnn-aprendizaje-federado-y/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>es</news:language></news:publication><news:publication_date>2026-08-03T07:47:04.745365+00:00</news:publication_date><news:title>IntelShed combina RAG híbrido, resolución de entidades GNN, aprendizaje federado y orquestación multiagente con LLM</news:title></news:news></url>
<url><loc>https://korshunov.ai/zh-hans/article/15845-intelshed-jie-he-hun-he-rag-gnn-shi-ti-jie-xi-lian-bang-xue-xi-he-llm-duo-zhi-ti/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>zh-cn</news:language></news:publication><news:publication_date>2026-08-03T07:47:04.745365+00:00</news:publication_date><news:title>IntelShed 结合混合 RAG、GNN 实体解析、联邦学习和 LLM 多智能体编排</news:title></news:news></url>
<url><loc>https://korshunov.ai/pt-br/article/15845-intelshed-combina-rag-hibrido-resolucao-de-entidades-gnn-aprendizado-federado-e/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>pt</news:language></news:publication><news:publication_date>2026-08-03T07:47:04.745365+00:00</news:publication_date><news:title>IntelShed combina RAG híbrido, resolução de entidades GNN, aprendizado federado e orquestração multiagente LLM</news:title></news:news></url>
<url><loc>https://korshunov.ai/hi/article/15845-intelshed-haaibridd-rag-gnn-enttittii-rijonlyuushn-phedderettedd-lrning-aur-llm/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>hi</news:language></news:publication><news:publication_date>2026-08-03T07:47:04.745365+00:00</news:publication_date><news:title>IntelShed हाइब्रिड RAG, GNN एंटिटी रिज़ॉल्यूशन, फेडेरेटेड लर्निंग और LLM मल्टी-एजेंट ऑर्केस्ट्रेशन को जोड़ता है</news:title></news:news></url>
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<url><loc>https://korshunov.ai/fr/article/15845-intelshed-combine-rag-hybride-resolution-d-entites-par-gnn-apprentissage-federe/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>fr</news:language></news:publication><news:publication_date>2026-08-03T07:47:04.745365+00:00</news:publication_date><news:title>IntelShed combine RAG hybride, résolution d'entités par GNN, apprentissage fédéré et orchestration multi-agents LLM</news:title></news:news></url>
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<url><loc>https://korshunov.ai/ar/article/15845-intelshed-yjm-byn-rag-lhjyn-whl-kyn-gnn-wlt-lm-lmwhd-wtnsyq-wkl-llm-mt-ddyn/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ar</news:language></news:publication><news:publication_date>2026-08-03T07:47:04.745365+00:00</news:publication_date><news:title>IntelShed يجمع بين RAG الهجين، وحل كيان GNN، والتعلم الموحد، وتنسيق وكلاء LLM متعددين</news:title></news:news></url>
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<url><loc>https://korshunov.ai/fr/article/15681-thinking-machines-lab-publie-inkling-small-un-modele-moe-multimodal-a-poids-de/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>fr</news:language></news:publication><news:publication_date>2026-08-03T01:22:51.527020+00:00</news:publication_date><news:title>Thinking Machines Lab publie Inkling-Small, un modèle MoE multimodal à poids ouverts de 276B</news:title></news:news></url>
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<url><loc>https://korshunov.ai/fr/article/15664-llama-cpp-b10231-ajoute-le-support-du-sidecar-dspark/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>fr</news:language></news:publication><news:publication_date>2026-08-02T19:10:55.647720+00:00</news:publication_date><news:title>llama.cpp b10231 ajoute le support du sidecar DSpark</news:title></news:news></url>
<url><loc>https://korshunov.ai/ar/article/15664-llama-cpp-b10231-ydyf-d-m-sidecar-l-dspark/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ar</news:language></news:publication><news:publication_date>2026-08-02T19:10:55.647720+00:00</news:publication_date><news:title>llama.cpp b10231 يضيف دعم sidecar لـ DSpark</news:title></news:news></url>
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<url><loc>https://korshunov.ai/ko/article/15662-saibeo-boan-pyeongga-jung-openai-mic-anthropic-naebu-modeli-silje-pyojeogeul/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ko</news:language></news:publication><news:publication_date>2026-08-02T18:30:05.228191+00:00</news:publication_date><news:title>사이버 보안 평가 중 OpenAI 및 Anthropic 내부 모델이 실제 표적을 해킹</news:title></news:news></url>
<url><loc>https://korshunov.ai/fr/article/15662-les-modeles-internes-d-openai-et-anthropic-ont-pirate-de-veritables-cibles-lors/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>fr</news:language></news:publication><news:publication_date>2026-08-02T18:30:05.228191+00:00</news:publication_date><news:title>Les modèles internes d'OpenAI et Anthropic ont piraté de véritables cibles lors d'évaluations de cybersécurité</news:title></news:news></url>
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<url><loc>https://korshunov.ai/ar/article/15662-nmdhj-openai-wanthropic-ldkhly-khtrqt-hdfan-hqyqy-thn-tqyymt-lmn-lsybrny/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ar</news:language></news:publication><news:publication_date>2026-08-02T18:30:05.228191+00:00</news:publication_date><news:title>نماذج OpenAI وAnthropic الداخلية اخترقت أهدافًا حقيقية أثناء تقييمات الأمن السيبراني</news:title></news:news></url>
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<url><loc>https://korshunov.ai/fr/article/15652-llama-cpp-b10229-corrige-les-donnees-de-profilage-opencl-non-videes/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>fr</news:language></news:publication><news:publication_date>2026-08-02T15:25:26.308224+00:00</news:publication_date><news:title>llama.cpp b10229 corrige les données de profilage OpenCL non vidées</news:title></news:news></url>
<url><loc>https://korshunov.ai/id/article/15652-llama-cpp-b10229-memperbaiki-data-profiling-opencl-yang-tidak-di-flush/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>id</news:language></news:publication><news:publication_date>2026-08-02T15:25:26.308224+00:00</news:publication_date><news:title>llama.cpp b10229 memperbaiki data profiling OpenCL yang tidak di-flush</news:title></news:news></url>
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<url><loc>https://korshunov.ai/ru/article/15652-llama-cpp-b10222-ispravliaet-problemu-s-nevymyvaniem-dannykh-profilirovaniia/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ru</news:language></news:publication><news:publication_date>2026-08-02T15:25:26.308224+00:00</news:publication_date><news:title>llama.cpp b10222 исправляет проблему с невымыванием данных профилирования OpenCL</news:title></news:news></url>
<url><loc>https://korshunov.ai/es/article/15652-llama-cpp-b10229-corrige-el-problema-de-que-los-datos-de-perfilado-de-opencl-no/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>es</news:language></news:publication><news:publication_date>2026-08-02T15:25:26.308224+00:00</news:publication_date><news:title>llama.cpp b10229 corrige el problema de que los datos de perfilado de OpenCL no se vacíen</news:title></news:news></url>
<url><loc>https://korshunov.ai/zh-hans/article/15652-llama-cpp-b10229-xiu-fu-liao-opencl-fen-xi-shu-ju-wei-bei-shua-xin-de-wen-ti/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>zh-cn</news:language></news:publication><news:publication_date>2026-08-02T15:25:26.308224+00:00</news:publication_date><news:title>llama.cpp b10229 修复了 OpenCL 分析数据未被刷新的问题</news:title></news:news></url>
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<url><loc>https://korshunov.ai/fr/article/15647-thinking-machines-lance-inkling-tencent-met-a-jour-hy3-avec-la-licence-apache-2/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>fr</news:language></news:publication><news:publication_date>2026-08-02T14:28:01.519445+00:00</news:publication_date><news:title>Thinking Machines lance Inkling, Tencent met à jour Hy3 avec la licence Apache 2.0</news:title></news:news></url>
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<url><loc>https://korshunov.ai/pt-br/article/15642-nemo-da-nvidia-lanca-molt-um-framework-de-rl-agentico-compacto-e-nativo-pyt/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>pt</news:language></news:publication><news:publication_date>2026-08-02T12:21:42.158171+00:00</news:publication_date><news:title>NeMo da NVIDIA lança Molt, um framework de RL agêntico compacto e nativo PyT</news:title></news:news></url>
<url><loc>https://korshunov.ai/hi/article/15642-nvidia-nemo-ne-molt-jaarii-kiyaa-ek-snkssipt-pyt-native-ejenttik-rl-phremvrk/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>hi</news:language></news:publication><news:publication_date>2026-08-02T12:21:42.158171+00:00</news:publication_date><news:title>NVIDIA NeMo ने Molt जारी किया, एक संक्षिप्त PyT-native एजेंटिक RL फ्रेमवर्क</news:title></news:news></url>
<url><loc>https://korshunov.ai/ja/article/15642-nvidia-nemokakonhakutonapyt-nativee-shientoxing-rlhure-muwa-ku-molt-woriri-su/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ja</news:language></news:publication><news:publication_date>2026-08-02T12:21:42.158171+00:00</news:publication_date><news:title>NVIDIA NeMoがコンパクトなPyT-nativeエージェント型RLフレームワーク「Molt」をリリース</news:title></news:news></url>
<url><loc>https://korshunov.ai/ko/article/15642-nvidia-nemoga-molt-culsi-pyt-native-gibanyi-gyeongryang-eijeonteu-rl/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ko</news:language></news:publication><news:publication_date>2026-08-02T12:21:42.158171+00:00</news:publication_date><news:title>NVIDIA NeMo가 Molt 출시: PyT-native 기반의 경량 에이전트 RL 프레임워크</news:title></news:news></url>
<url><loc>https://korshunov.ai/fr/article/15642-nvidia-nemo-publie-molt-un-framework-rl-agentic-compact-natif-pyt/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>fr</news:language></news:publication><news:publication_date>2026-08-02T12:21:42.158171+00:00</news:publication_date><news:title>NVIDIA NeMo publie Molt, un framework RL agentic compact natif PyT</news:title></news:news></url>
<url><loc>https://korshunov.ai/id/article/15642-nvidia-nemo-merilis-molt-kerangka-kerja-rl-agentic-pyt-native-yang-ringkas/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>id</news:language></news:publication><news:publication_date>2026-08-02T12:21:42.158171+00:00</news:publication_date><news:title>NVIDIA NeMo merilis Molt, kerangka kerja RL agentic PyT-native yang ringkas</news:title></news:news></url>
<url><loc>https://korshunov.ai/ar/article/15642-sdr-nvidia-nemo-l-molt-tr-ml-rl-wkyl-mdgwt-sly-pyt/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ar</news:language></news:publication><news:publication_date>2026-08-02T12:21:42.158171+00:00</news:publication_date><news:title>إصدار NVIDIA NeMo لـ Molt، إطار عمل RL وكيل مضغوط أصلي PyT</news:title></news:news></url>
</urlset>