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<url><loc>https://korshunov.ai/pt-br/article/24989-llama-cpp-b10930-permite-downloads-de-modelos-no-limite-do-modelo/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>pt</news:language></news:publication><news:publication_date>2026-09-12T13:15:57.668953+00:00</news:publication_date><news:title>llama.cpp b10930 permite downloads de modelos no limite do modelo</news:title></news:news></url>
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<url><loc>https://korshunov.ai/fr/article/24989-llama-cpp-b10930-permet-les-telechargements-de-modeles-a-la-limite-du-modele/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>fr</news:language></news:publication><news:publication_date>2026-09-12T13:15:57.668953+00:00</news:publication_date><news:title>llama.cpp b10930 permet les téléchargements de modèles à la limite du modèle</news:title></news:news></url>
<url><loc>https://korshunov.ai/ar/article/24989-ysmh-llama-cpp-b10930-btnzyl-lnmdhj-nd-hd-lnmwdhj/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ar</news:language></news:publication><news:publication_date>2026-09-12T13:15:57.668953+00:00</news:publication_date><news:title>يسمح llama.cpp b10930 بتنزيل النماذج عند حد النموذج</news:title></news:news></url>
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<url><loc>https://korshunov.ai/zh-hans/article/24986-zi-ding-yi-dai-ma-shi-deepseek-v4-1-zai-a100-gpu-shang-de-yun-xing-su-du-chao/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>zh-cn</news:language></news:publication><news:publication_date>2026-09-12T12:01:22.865095+00:00</news:publication_date><news:title>自定义代码使 DeepSeek V4.1 在 A100 GPU 上的运行速度超过官方 API</news:title></news:news></url>
<url><loc>https://korshunov.ai/pt-br/article/24986-codigo-personalizado-faz-deepseek-v4-1-rodar-mais-rapido-que-a-api-oficial-em/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>pt</news:language></news:publication><news:publication_date>2026-09-12T12:01:22.865095+00:00</news:publication_date><news:title>Código personalizado faz DeepSeek V4.1 rodar mais rápido que a API oficial em GPUs A100</news:title></news:news></url>
<url><loc>https://korshunov.ai/hi/article/24986-ksttm-kodd-deepseek-v4-1-ko-a100-gpus-pr-aadhikaarik-api-se-tej-claataa-hai/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>hi</news:language></news:publication><news:publication_date>2026-09-12T12:01:22.865095+00:00</news:publication_date><news:title>कस्टम कोड DeepSeek V4.1 को A100 GPUs पर आधिकारिक API से तेज़ चलाता है</news:title></news:news></url>
<url><loc>https://korshunov.ai/ja/article/24986-kasutamuko-toniyorideepseek-v4-1kaa100-gpushang-tegong-shi-apiyorigao-su-nidong/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ja</news:language></news:publication><news:publication_date>2026-09-12T12:01:22.865095+00:00</news:publication_date><news:title>カスタムコードによりDeepSeek V4.1がA100 GPU上で公式APIより高速に動作</news:title></news:news></url>
<url><loc>https://korshunov.ai/ko/article/24986-sayongja-jijeong-kodeuro-a100-gpueseo-deepseek-v4-1i-gongsig-apiboda-bbareuge/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ko</news:language></news:publication><news:publication_date>2026-09-12T12:01:22.865095+00:00</news:publication_date><news:title>사용자 지정 코드로 A100 GPU에서 DeepSeek V4.1이 공식 API보다 빠르게 실행됨</news:title></news:news></url>
<url><loc>https://korshunov.ai/fr/article/24986-un-code-personnalise-permet-a-deepseek-v4-1-de-fonctionner-plus-vite-que-l-api/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>fr</news:language></news:publication><news:publication_date>2026-09-12T12:01:22.865095+00:00</news:publication_date><news:title>Un code personnalisé permet à DeepSeek V4.1 de fonctionner plus vite que l'API officielle sur les GPU A100</news:title></news:news></url>
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<url><loc>https://korshunov.ai/zh-hans/article/24983-llama-cpp-b10926-ban-ben-you-ya-chu-li-bu-zhi-chi-de-tq1-0-liang-hua/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>zh-cn</news:language></news:publication><news:publication_date>2026-09-12T10:55:52.582251+00:00</news:publication_date><news:title>llama.cpp b10926 版本优雅处理不支持的 tq1_0 量化</news:title></news:news></url>
<url><loc>https://korshunov.ai/pt-br/article/24983-lancamento-b10926-do-llama-cpp-lida-com-quants-tq1-0-nao-suportados-de-forma/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>pt</news:language></news:publication><news:publication_date>2026-09-12T10:55:52.582251+00:00</news:publication_date><news:title>Lançamento b10926 do llama.cpp lida com quants tq1_0 não suportados de forma elegante</news:title></news:news></url>
<url><loc>https://korshunov.ai/hi/article/24983-llama-cpp-b10926-riliij-asmrthit-tq1-0-kvaantts-ko-shjtaa-se-snbhaaltii-hai/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>hi</news:language></news:publication><news:publication_date>2026-09-12T10:55:52.582251+00:00</news:publication_date><news:title>llama.cpp b10926 रिलीज असमर्थित tq1_0 क्वांट्स को सहजता से संभालती है</news:title></news:news></url>
<url><loc>https://korshunov.ai/ja/article/24983-llama-cpp-b10926-riri-suhafei-dui-ying-no-tq1-0-liang-zi-hua-woshi-qie-nichu-li/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ja</news:language></news:publication><news:publication_date>2026-09-12T10:55:52.582251+00:00</news:publication_date><news:title>llama.cpp b10926 リリースは非対応の tq1_0 量子化を適切に処理する</news:title></news:news></url>
<url><loc>https://korshunov.ai/ko/article/24983-llama-cpp-b10926-rilriseuneun-jiweondoeji-anhneun-tq1-0-yangjahwareul-uahage/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ko</news:language></news:publication><news:publication_date>2026-09-12T10:55:52.582251+00:00</news:publication_date><news:title>llama.cpp b10926 릴리스는 지원되지 않는 tq1_0 양자화를 우아하게 처리합니다</news:title></news:news></url>
<url><loc>https://korshunov.ai/fr/article/24983-la-version-b10926-de-llama-cpp-gere-avec-elegance-les-quants-tq1-0-non-pris-en/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>fr</news:language></news:publication><news:publication_date>2026-09-12T10:55:52.582251+00:00</news:publication_date><news:title>La version b10926 de llama.cpp gère avec élégance les quants tq1_0 non pris en charge</news:title></news:news></url>
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<url><loc>https://korshunov.ai/zh-hans/article/24980-llama-cpp-b10921-jiang-webgpu-zhang-liang-bang-ding-dui-qi-dao-kuai-da-xiao/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>zh-cn</news:language></news:publication><news:publication_date>2026-09-12T10:16:38.822715+00:00</news:publication_date><news:title>llama.cpp b10921 将 WebGPU 张量绑定对齐到块大小</news:title></news:news></url>
<url><loc>https://korshunov.ai/pt-br/article/24980-llama-cpp-b10921-alinha-as-vinculacoes-de-tensores-do-webgpu-ao-tamanho-do-bloco/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>pt</news:language></news:publication><news:publication_date>2026-09-12T10:16:38.822715+00:00</news:publication_date><news:title>llama.cpp b10921 alinha as vinculações de tensores do WebGPU ao tamanho do bloco</news:title></news:news></url>
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<url><loc>https://korshunov.ai/ja/article/24954-perplexitykagpt-6-astrawoshi-yong-shiteentotsu-entonoshisutemuguan-li-woxing-u/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ja</news:language></news:publication><news:publication_date>2026-09-12T00:41:41.883644+00:00</news:publication_date><news:title>PerplexityがGPT-6 Astraを使用してエンドツーエンドのシステム管理を行う</news:title></news:news></url>
<url><loc>https://korshunov.ai/ko/article/24954-perplexity-gpt-6-astraro-endeutuendeu-siseutem-gwanri/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ko</news:language></news:publication><news:publication_date>2026-09-12T00:41:41.883644+00:00</news:publication_date><news:title>Perplexity, GPT-6 Astra로 엔드투엔드 시스템 관리</news:title></news:news></url>
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<url><loc>https://korshunov.ai/es/article/24946-dspy-3-4-0b1-traslada-la-ejecucion-de-lm-a-una-interfaz-de-motor-compartido/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>es</news:language></news:publication><news:publication_date>2026-09-11T23:44:26.580625+00:00</news:publication_date><news:title>DSPy 3.4.0b1 traslada la ejecución de LM a una interfaz de motor compartido</news:title></news:news></url>
<url><loc>https://korshunov.ai/zh-hans/article/24946-dspy-3-4-0b1-jiang-yu-yan-mo-xing-zhi-xing-qian-yi-zhi-gong-xiang-yin-qing-jie/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>zh-cn</news:language></news:publication><news:publication_date>2026-09-11T23:44:26.580625+00:00</news:publication_date><news:title>DSPy 3.4.0b1 将语言模型执行迁移至共享引擎接口</news:title></news:news></url>
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<url><loc>https://korshunov.ai/ja/article/24946-dspy-3-4-0b1-ka-lm-noshi-xing-wogong-you-enshininta-hue-suheyi-xing/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ja</news:language></news:publication><news:publication_date>2026-09-11T23:44:26.580625+00:00</news:publication_date><news:title>DSPy 3.4.0b1 が LM の実行を共有エンジンインターフェースへ移行</news:title></news:news></url>
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<url><loc>https://korshunov.ai/fr/article/24946-dspy-3-4-0b1-deplace-l-execution-du-modele-de-langage-vers-une-interface-de/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>fr</news:language></news:publication><news:publication_date>2026-09-11T23:44:26.580625+00:00</news:publication_date><news:title>DSPy 3.4.0b1 déplace l'exécution du modèle de langage vers une interface de moteur partagé</news:title></news:news></url>
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<url><loc>https://korshunov.ai/ru/article/24941-onyx-obespechivaet-snizhenie-stoimosti-v-17-99-raza-i-zaderzhki-v-23-123-raza/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ru</news:language></news:publication><news:publication_date>2026-09-11T22:49:29.861132+00:00</news:publication_date><news:title>Onyx обеспечивает снижение стоимости в 1,7–9,9 раза и задержки в 2,3–12,3 раза для disk-oblivious ANN-поиска</news:title></news:news></url>
<url><loc>https://korshunov.ai/es/article/24941-onyx-logra-un-costo-17-99-veces-menor-y-una-latencia-23-123-veces-menor-para-la/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>es</news:language></news:publication><news:publication_date>2026-09-11T22:49:29.861132+00:00</news:publication_date><news:title>Onyx logra un costo 1,7-9,9 veces menor y una latencia 2,3-12,3 veces menor para la búsqueda ANN disk-oblivious</news:title></news:news></url>
<url><loc>https://korshunov.ai/pt-br/article/24941-onyx-alcanca-custo-17-99x-menor-e-latencia-23-123x-menor-para-busca-ann-disk/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>pt</news:language></news:publication><news:publication_date>2026-09-11T22:49:29.861132+00:00</news:publication_date><news:title>Onyx alcança custo 1,7-9,9x menor e latência 2,3-12,3x menor para busca ANN disk-oblivious</news:title></news:news></url>
<url><loc>https://korshunov.ai/hi/article/24941-disk-oblivious-ann-khoj-ke-lie-onyx-ne-laagt-men-1-7-9-9x-aur-lettensii-men-2-3/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>hi</news:language></news:publication><news:publication_date>2026-09-11T22:49:29.861132+00:00</news:publication_date><news:title>disk-oblivious ANN खोज के लिए Onyx ने लागत में 1.7-9.9x और लेटेंसी में 2.3-12.3x की कमी हासिल की</news:title></news:news></url>
<url><loc>https://korshunov.ai/ja/article/24941-onyx-disk-oblivious-annjian-suo-tekosutowo1-7-9-9bei-reitenshiwo2-3-12-3bei-di/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ja</news:language></news:publication><news:publication_date>2026-09-11T22:49:29.861132+00:00</news:publication_date><news:title>Onyx、disk-oblivious ANN検索でコストを1.7〜9.9倍、レイテンシを2.3〜12.3倍低減</news:title></news:news></url>
<url><loc>https://korshunov.ai/ko/article/24941-onyx-disk-oblivious-ann-geomsaegeseo-biyong-1-7-9-9bae-jiyeon-sigan-2-3-12-3bae/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ko</news:language></news:publication><news:publication_date>2026-09-11T22:49:29.861132+00:00</news:publication_date><news:title>Onyx, disk-oblivious ANN 검색에서 비용 1.7-9.9배, 지연 시간 2.3-12.3배 감소 달성</news:title></news:news></url>
<url><loc>https://korshunov.ai/fr/article/24941-onyx-reduit-le-cout-de-17-a-99-fois-et-la-latence-de-23-a-123-fois-pour-la-ann/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>fr</news:language></news:publication><news:publication_date>2026-09-11T22:49:29.861132+00:00</news:publication_date><news:title>Onyx réduit le coût de 1,7 à 9,9 fois et la latence de 2,3 à 12,3 fois pour la recherche ANN disk-oblivious</news:title></news:news></url>
<url><loc>https://korshunov.ai/id/article/24941-onyx-mencapai-biaya-lebih-rendah-17-99x-dan-latensi-lebih-rendah-23-123x-untuk/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>id</news:language></news:publication><news:publication_date>2026-09-11T22:49:29.861132+00:00</news:publication_date><news:title>Onyx mencapai biaya lebih rendah 1,7-9,9x dan latensi lebih rendah 2,3-12,3x untuk pencarian ANN disk-oblivious</news:title></news:news></url>
<url><loc>https://korshunov.ai/ar/article/24941-onyx-yhqq-tklf-ql-bnsb-1-7-9-9-mr-wzmn-stjb-ql-bnsb-2-3-12-3-mr-lbhth-ann-gyr/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ar</news:language></news:publication><news:publication_date>2026-09-11T22:49:29.861132+00:00</news:publication_date><news:title>Onyx يحقق تكلفة أقل بنسبة 1.7-9.9 مرة وزمن استجابة أقل بنسبة 2.3-12.3 مرة لبحث ANN غير المدرك للقرص</news:title></news:news></url>
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<url><loc>https://korshunov.ai/ko/article/24936-reasoningbombneun-daegyumo-curon-modeleseo-byeongrijeogeuro-gin-curoneul/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ko</news:language></news:publication><news:publication_date>2026-09-11T22:01:27.444168+00:00</news:publication_date><news:title>ReasoningBomb는 대규모 추론 모델에서 병리적으로 긴 추론을 유도한다</news:title></news:news></url>
<url><loc>https://korshunov.ai/fr/article/24936-reasoningbomb-provoque-un-raisonnement-pathologiquement-long-dans-les-grands-de/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>fr</news:language></news:publication><news:publication_date>2026-09-11T22:01:27.444168+00:00</news:publication_date><news:title>ReasoningBomb provoque un raisonnement pathologiquement long dans les grands modèles de raisonnement</news:title></news:news></url>
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<url><loc>https://korshunov.ai/es/article/24935-reasalign-utiliza-razonamiento-para-defender-agentes-de-llm-contra-inyeccion-de/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>es</news:language></news:publication><news:publication_date>2026-09-11T21:40:13.714382+00:00</news:publication_date><news:title>ReasAlign utiliza razonamiento para defender agentes de LLM contra inyección de instrucciones</news:title></news:news></url>
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<url><loc>https://korshunov.ai/ko/article/24935-reasaligneun-curoneul-tonghae-llm-eijeonteureul-peurompeuteu-injegsyeoneurobuteo/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ko</news:language></news:publication><news:publication_date>2026-09-11T21:40:13.714382+00:00</news:publication_date><news:title>ReasAlign은 추론을 통해 LLM 에이전트를 프롬프트 인젝션으로부터 방어합니다</news:title></news:news></url>
<url><loc>https://korshunov.ai/fr/article/24935-reasalign-utilise-le-raisonnement-pour-defendre-les-agents-llm-contre-l-de/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>fr</news:language></news:publication><news:publication_date>2026-09-11T21:40:13.714382+00:00</news:publication_date><news:title>ReasAlign utilise le raisonnement pour défendre les agents LLM contre l'injection de prompts</news:title></news:news></url>
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<url><loc>https://korshunov.ai/en/article/24925-jacob-coxon-resigns-from-anthropic-warning-of-imminent-human-extinction-risk/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>en</news:language></news:publication><news:publication_date>2026-09-11T19:40:37.073051+00:00</news:publication_date><news:title>Jacob Coxon resigns from Anthropic warning of imminent human extinction risk</news:title></news:news></url>
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<url><loc>https://korshunov.ai/ko/article/24925-jeikob-kogseun-anthropic-saimhamyeo-ingan-myeoljong-wiheom-gyeonggo/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ko</news:language></news:publication><news:publication_date>2026-09-11T19:40:37.073051+00:00</news:publication_date><news:title>제이콥 콕슨, Anthropic 사임하며 인간 멸종 위험 경고</news:title></news:news></url>
<url><loc>https://korshunov.ai/fr/article/24925-jacob-coxon-demissionne-d-anthropic-en-avertissant-d-un-risque-imminent-d/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>fr</news:language></news:publication><news:publication_date>2026-09-11T19:40:37.073051+00:00</news:publication_date><news:title>Jacob Coxon démissionne d'Anthropic en avertissant d'un risque imminent d'extinction humaine</news:title></news:news></url>
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<url><loc>https://korshunov.ai/en/article/24921-openai-scales-habitat-storage-service-to-70m-requests-per-second/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>en</news:language></news:publication><news:publication_date>2026-09-11T18:26:02.109271+00:00</news:publication_date><news:title>OpenAI scales Habitat storage service to 70M requests per second</news:title></news:news></url>
<url><loc>https://korshunov.ai/ru/article/24921-openai-masshtabiruet-servis-khraneniia-habitat-do-70-mln-zaprosov-v-sekundu/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ru</news:language></news:publication><news:publication_date>2026-09-11T18:26:02.109271+00:00</news:publication_date><news:title>OpenAI масштабирует сервис хранения Habitat до 70 млн запросов в секунду</news:title></news:news></url>
<url><loc>https://korshunov.ai/es/article/24921-openai-escala-el-servicio-de-almacenamiento-habitat-a-70-millones-de-solicitudes/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>es</news:language></news:publication><news:publication_date>2026-09-11T18:26:02.109271+00:00</news:publication_date><news:title>OpenAI escala el servicio de almacenamiento Habitat a 70 millones de solicitudes por segundo</news:title></news:news></url>
<url><loc>https://korshunov.ai/zh-hans/article/24921-openaijiang-habitatcun-chu-fu-wu-kuo-zhan-zhi-mei-miao-7000mo-ci-qing-qiu/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>zh-cn</news:language></news:publication><news:publication_date>2026-09-11T18:26:02.109271+00:00</news:publication_date><news:title>OpenAI将Habitat存储服务扩展至每秒7000万次请求</news:title></news:news></url>
<url><loc>https://korshunov.ai/pt-br/article/24921-openai-escala-o-servico-de-armazenamento-habitat-para-70-milhoes-de-requisicoes/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>pt</news:language></news:publication><news:publication_date>2026-09-11T18:26:02.109271+00:00</news:publication_date><news:title>OpenAI escala o serviço de armazenamento Habitat para 70 milhões de requisições por segundo</news:title></news:news></url>
<url><loc>https://korshunov.ai/hi/article/24921-openai-ne-habitat-sttorej-sevaa-ko-prti-sekndd-70-miliyn-anurodhon-tk-skel-kiyaa/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>hi</news:language></news:publication><news:publication_date>2026-09-11T18:26:02.109271+00:00</news:publication_date><news:title>OpenAI ने Habitat स्टोरेज सेवा को प्रति सेकंड 70 मिलियन अनुरोधों तक स्केल किया</news:title></news:news></url>
<url><loc>https://korshunov.ai/ja/article/24921-openai-habitatsutore-shisa-hisuwomei-miao-7000mo-rikuesutonisuke-ru/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ja</news:language></news:publication><news:publication_date>2026-09-11T18:26:02.109271+00:00</news:publication_date><news:title>OpenAI、Habitatストレージサービスを毎秒7000万リクエストにスケール</news:title></news:news></url>
<url><loc>https://korshunov.ai/ko/article/24921-openai-habitat-seutoriji-seobiseureul-codang-7ceonman-geonyi-yoceongeuro/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ko</news:language></news:publication><news:publication_date>2026-09-11T18:26:02.109271+00:00</news:publication_date><news:title>OpenAI, Habitat 스토리지 서비스를 초당 7천만 건의 요청으로 확장</news:title></news:news></url>
<url><loc>https://korshunov.ai/fr/article/24921-openai-porte-le-service-de-stockage-habitat-a-70-millions-de-requetes-par/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>fr</news:language></news:publication><news:publication_date>2026-09-11T18:26:02.109271+00:00</news:publication_date><news:title>OpenAI porte le service de stockage Habitat à 70 millions de requêtes par seconde</news:title></news:news></url>
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<url><loc>https://korshunov.ai/ar/article/24921-tws-openai-fy-khdm-tkhzyn-habitat-ltsl-l-70-mlywn-tlb-fy-lthny/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ar</news:language></news:publication><news:publication_date>2026-09-11T18:26:02.109271+00:00</news:publication_date><news:title>توسع OpenAI في خدمة تخزين Habitat لتصل إلى 70 مليون طلب في الثانية</news:title></news:news></url>
<url><loc>https://korshunov.ai/zh-hans/article/24920-together-ai-tong-guo-zhuan-jia-lora-shi-shi-zhi-biao-he-jiang-jie-kuo-zhan-wei/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>zh-cn</news:language></news:publication><news:publication_date>2026-09-11T17:31:03.473744+00:00</news:publication_date><news:title>Together AI 通过专家 LoRA、实时指标和降价扩展微调功能</news:title></news:news></url>
<url><loc>https://korshunov.ai/en/article/24920-together-ai-expands-fine-tuning-with-expert-lora-live-metrics-and-price-cuts/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>en</news:language></news:publication><news:publication_date>2026-09-11T17:31:03.473744+00:00</news:publication_date><news:title>Together AI expands fine-tuning with expert LoRA, live metrics, and price cuts</news:title></news:news></url>
<url><loc>https://korshunov.ai/ru/article/24920-together-ai-rasshiriaet-vozmozhnosti-tonkoi-nastroiki-s-pomoshchiu-ekspertnogo-v/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ru</news:language></news:publication><news:publication_date>2026-09-11T17:31:03.473744+00:00</news:publication_date><news:title>Together AI расширяет возможности тонкой настройки с помощью экспертного LoRA, метрик в реальном времени и снижения цен</news:title></news:news></url>
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<url><loc>https://korshunov.ai/hi/article/24920-together-ai-ne-vishessjny-lora-laaiv-mettriks-aur-kiimton-men-kmii-ke-saath-kaa/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>hi</news:language></news:publication><news:publication_date>2026-09-11T17:31:03.473744+00:00</news:publication_date><news:title>Together AI ने विशेषज्ञ LoRA, लाइव मेट्रिक्स और कीमतों में कमी के साथ फाइन-ट्यूनिंग का विस्तार किया</news:title></news:news></url>
<url><loc>https://korshunov.ai/ja/article/24920-together-aikaekisuha-tolora-riarutaimumetorikusu-jia-ge-yin-kixia-ketehuainchiyu/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ja</news:language></news:publication><news:publication_date>2026-09-11T17:31:03.473744+00:00</news:publication_date><news:title>Together AIがエキスパートLoRA、リアルタイムメトリクス、価格引き下げでファインチューニングを拡張</news:title></news:news></url>
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<url><loc>https://korshunov.ai/fr/article/24920-together-ai-elargit-le-fine-tuning-avec-lora-expert-metriques-en-direct-et-de/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>fr</news:language></news:publication><news:publication_date>2026-09-11T17:31:03.473744+00:00</news:publication_date><news:title>Together AI élargit le fine-tuning avec LoRA expert, métriques en direct et baisses de prix</news:title></news:news></url>
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<url><loc>https://korshunov.ai/zh-hans/article/24910-openai-tui-chu-gpt-6-astra-yi-geng-di-cheng-ben-deng-ding-pai-xing-bang/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>zh-cn</news:language></news:publication><news:publication_date>2026-09-11T15:02:33.006257+00:00</news:publication_date><news:title>OpenAI 推出 GPT-6 Astra，以更低成本登顶排行榜</news:title></news:news></url>
<url><loc>https://korshunov.ai/pt-br/article/24910-openai-lanca-gpt-6-astra-lidera-rankings-com-menor-custo/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>pt</news:language></news:publication><news:publication_date>2026-09-11T15:02:33.006257+00:00</news:publication_date><news:title>OpenAI lança GPT-6 Astra, lidera rankings com menor custo</news:title></news:news></url>
<url><loc>https://korshunov.ai/hi/article/24910-openai-ne-gpt-6-astra-lonnc-kiyaa-km-laagt-ke-saath-liiddrbordd-men-shiirss/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>hi</news:language></news:publication><news:publication_date>2026-09-11T15:02:33.006257+00:00</news:publication_date><news:title>OpenAI ने GPT-6 Astra लॉन्च किया, कम लागत के साथ लीडरबोर्ड में शीर्ष स्थान हासिल किया</news:title></news:news></url>
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<url><loc>https://korshunov.ai/ko/article/24910-openaiga-gpt-6-astra-culsi-najeun-biyongeuro-rideobodeu-jeongsang-deunggeug/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ko</news:language></news:publication><news:publication_date>2026-09-11T15:02:33.006257+00:00</news:publication_date><news:title>OpenAI가 GPT-6 Astra 출시, 낮은 비용으로 리더보드 정상 등극</news:title></news:news></url>
<url><loc>https://korshunov.ai/fr/article/24910-openai-lance-gpt-6-astra-domine-les-classements-avec-un-cout-reduit/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>fr</news:language></news:publication><news:publication_date>2026-09-11T15:02:33.006257+00:00</news:publication_date><news:title>OpenAI lance GPT-6 Astra, domine les classements avec un coût réduit</news:title></news:news></url>
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<url><loc>https://korshunov.ai/ar/article/24910-openai-tutlq-gpt-6-astra-wttsdr-lqwym-bmyzny-ql/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ar</news:language></news:publication><news:publication_date>2026-09-11T15:02:33.006257+00:00</news:publication_date><news:title>OpenAI تُطلق GPT-6 Astra، وتتصدر القوائم بميزانية أقل</news:title></news:news></url>
<url><loc>https://korshunov.ai/en/article/24902-llama-cpp-reworks-metal-fusion-table-and-fixes-5-token-generation-regression/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>en</news:language></news:publication><news:publication_date>2026-09-11T14:05:12.421635+00:00</news:publication_date><news:title>llama.cpp reworks Metal fusion table and fixes ~5% token-generation regression</news:title></news:news></url>
<url><loc>https://korshunov.ai/ru/article/24902-llama-cpp-peredelyvaet-tablitsu-sliianiia-metal-i-ispravliaet-regressiiu-tokenov/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ru</news:language></news:publication><news:publication_date>2026-09-11T14:05:12.421635+00:00</news:publication_date><news:title>llama.cpp переделывает таблицу слияния Metal и исправляет регрессию скорости генерации токенов на ~5%</news:title></news:news></url>
<url><loc>https://korshunov.ai/es/article/24902-llama-cpp-reorganiza-la-tabla-de-fusion-de-metal-y-corrige-una-regresion-de-5-en/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>es</news:language></news:publication><news:publication_date>2026-09-11T14:05:12.421635+00:00</news:publication_date><news:title>llama.cpp reorganiza la tabla de fusión de Metal y corrige una regresión de ~5% en la generación de tokens</news:title></news:news></url>
<url><loc>https://korshunov.ai/zh-hans/article/24902-llama-cpp-zhong-gou-metal-rong-he-biao-bing-xiu-fu-yue-5-de-ling-pai-sheng-cheng/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>zh-cn</news:language></news:publication><news:publication_date>2026-09-11T14:05:12.421635+00:00</news:publication_date><news:title>llama.cpp 重构 Metal 融合表并修复约 5% 的令牌生成回归</news:title></news:news></url>
<url><loc>https://korshunov.ai/pt-br/article/24902-llama-cpp-reorganiza-tabela-de-fusao-do-metal-e-corrige-regressao-de-5-na-de/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>pt</news:language></news:publication><news:publication_date>2026-09-11T14:05:12.421635+00:00</news:publication_date><news:title>llama.cpp reorganiza tabela de fusão do Metal e corrige regressão de ~5% na geração de tokens</news:title></news:news></url>
<url><loc>https://korshunov.ai/hi/article/24902-llama-cpp-ne-metal-phyuujn-ttebl-ko-punrgtthit-kiyaa-aur-lgbhg-5-ttokn-jnn-ko/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>hi</news:language></news:publication><news:publication_date>2026-09-11T14:05:12.421635+00:00</news:publication_date><news:title>llama.cpp ने Metal फ्यूजन टेबल को पुनर्गठित किया और लगभग 5% टोकन-जनन पश्चगमन को ठीक किया</news:title></news:news></url>
<url><loc>https://korshunov.ai/ja/article/24902-llama-cppkametalnorong-he-te-huruwozai-gou-zhu-shi-to-kunsheng-cheng-noyue-5-di/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ja</news:language></news:publication><news:publication_date>2026-09-11T14:05:12.421635+00:00</news:publication_date><news:title>llama.cppがMetalの融合テーブルを再構築し、トークン生成の約5%の性能低下を修正</news:title></news:news></url>
<url><loc>https://korshunov.ai/ko/article/24902-llama-cppga-metal-pyujeon-teibeuleul-jaeguseonghago-5-tokeun-saengseong/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ko</news:language></news:publication><news:publication_date>2026-09-11T14:05:12.421635+00:00</news:publication_date><news:title>llama.cpp가 Metal 퓨전 테이블을 재구성하고 ~5% 토큰 생성 성능 저하를 수정함</news:title></news:news></url>
<url><loc>https://korshunov.ai/fr/article/24902-llama-cpp-retravaille-la-table-de-fusion-metal-et-corrige-une-regression-d-5-sur/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>fr</news:language></news:publication><news:publication_date>2026-09-11T14:05:12.421635+00:00</news:publication_date><news:title>llama.cpp retravaille la table de fusion Metal et corrige une régression d'environ 5 % sur le débit de génération de tokens</news:title></news:news></url>
<url><loc>https://korshunov.ai/id/article/24902-llama-cpp-menyempurnakan-tabel-fusi-metal-dan-memperbaiki-regresi-generasi-token/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>id</news:language></news:publication><news:publication_date>2026-09-11T14:05:12.421635+00:00</news:publication_date><news:title>llama.cpp menyempurnakan tabel fusi Metal dan memperbaiki regresi generasi token ~5%</news:title></news:news></url>
<url><loc>https://korshunov.ai/ar/article/24902-d-hykl-jdwl-dmj-metal-fy-llama-cpp-wslh-tdhwr-bnsb-5-fy-twlyd-lrmwz/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ar</news:language></news:publication><news:publication_date>2026-09-11T14:05:12.421635+00:00</news:publication_date><news:title>إعادة هيكلة جدول دمج Metal في llama.cpp وإصلاح تدهور بنسبة ~5% في توليد الرموز</news:title></news:news></url>
<url><loc>https://korshunov.ai/ru/article/24901-cohere-vypuskaet-north-small-translate-model-moe-na-218b-parametrov-s-rezultatom/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ru</news:language></news:publication><news:publication_date>2026-09-11T13:35:17.860725+00:00</news:publication_date><news:title>Cohere выпускает North Small Translate, модель MoE на 218B параметров с результатом 83.6 на WMT26</news:title></news:news></url>
<url><loc>https://korshunov.ai/en/article/24901-cohere-releases-north-small-translate-a-218b-moe-model-scoring-83-6-on-wmt26/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>en</news:language></news:publication><news:publication_date>2026-09-11T13:35:17.860725+00:00</news:publication_date><news:title>Cohere releases North Small Translate, a 218B MoE model scoring 83.6 on WMT26</news:title></news:news></url>
<url><loc>https://korshunov.ai/es/article/24901-cohere-lanza-north-small-translate-un-modelo-moe-de-218b-que-obtiene-83-6-en/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>es</news:language></news:publication><news:publication_date>2026-09-11T13:35:17.860725+00:00</news:publication_date><news:title>Cohere lanza North Small Translate, un modelo MoE de 218B que obtiene 83.6 en WMT26</news:title></news:news></url>
<url><loc>https://korshunov.ai/zh-hans/article/24901-cohere-fa-bu-north-small-translate-yi-kuan-zai-wmt26-shang-de-fen-83-6-de-218b/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>zh-cn</news:language></news:publication><news:publication_date>2026-09-11T13:35:17.860725+00:00</news:publication_date><news:title>Cohere 发布 North Small Translate，一款在 WMT26 上得分 83.6 的 218B MoE 模型</news:title></news:news></url>
<url><loc>https://korshunov.ai/pt-br/article/24901-cohere-lanca-north-small-translate-um-modelo-moe-de-218b-que-pontua-83-6-no/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>pt</news:language></news:publication><news:publication_date>2026-09-11T13:35:17.860725+00:00</news:publication_date><news:title>Cohere lança North Small Translate, um modelo MoE de 218B que pontua 83.6 no WMT26</news:title></news:news></url>
<url><loc>https://korshunov.ai/hi/article/24901-cohere-ne-83-6-skor-ke-saath-wmt26-pr-218b-moe-monddl-north-small-translate/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>hi</news:language></news:publication><news:publication_date>2026-09-11T13:35:17.860725+00:00</news:publication_date><news:title>Cohere ने 83.6 स्कोर के साथ WMT26 पर 218B MoE मॉडल North Small Translate जारी किया</news:title></news:news></url>
<url><loc>https://korshunov.ai/ja/article/24901-coherekawmt26te83-6nosukoawohuo-de-shita218b-moemoteru-north-small-translate-su/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ja</news:language></news:publication><news:publication_date>2026-09-11T13:35:17.860725+00:00</news:publication_date><news:title>CohereがWMT26で83.6のスコアを獲得した218B MoEモデル「North Small Translate」をリリース</news:title></news:news></url>
<url><loc>https://korshunov.ai/ko/article/24901-cohere-wmt26eseo-83-6jeomeul-giroghan-218b-moe-modelin-north-small-translate/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ko</news:language></news:publication><news:publication_date>2026-09-11T13:35:17.860725+00:00</news:publication_date><news:title>Cohere, WMT26에서 83.6점을 기록한 218B MoE 모델인 North Small Translate 출시</news:title></news:news></url>
<url><loc>https://korshunov.ai/fr/article/24901-cohere-lance-north-small-translate-un-modele-moe-de-218b-atteignant-83-6-sur/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>fr</news:language></news:publication><news:publication_date>2026-09-11T13:35:17.860725+00:00</news:publication_date><news:title>Cohere lance North Small Translate, un modèle MoE de 218B atteignant 83.6 sur WMT26</news:title></news:news></url>
<url><loc>https://korshunov.ai/id/article/24901-cohere-merilis-north-small-translate-model-moe-218b-yang-meraih-skor-83-6-di/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>id</news:language></news:publication><news:publication_date>2026-09-11T13:35:17.860725+00:00</news:publication_date><news:title>Cohere merilis North Small Translate, model MoE 218B yang meraih skor 83.6 di WMT26</news:title></news:news></url>
<url><loc>https://korshunov.ai/ar/article/24901-kwhyr-ttlq-nmwdhj-north-small-translate-whw-nmwdhj-moe-bhjm-218b-yhqq-ntyj-83-6/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ar</news:language></news:publication><news:publication_date>2026-09-11T13:35:17.860725+00:00</news:publication_date><news:title>كوهير تطلق نموذج North Small Translate، وهو نموذج MoE بحجم 218B يحقق نتيجة 83.6 على WMT26</news:title></news:news></url>
<url><loc>https://korshunov.ai/en/article/24899-llama-cpp-b10907-fixes-mtp-context-kv-cache-allocation-for-deepseek2-glm4moe/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>en</news:language></news:publication><news:publication_date>2026-09-11T12:35:41.883529+00:00</news:publication_date><news:title>llama.cpp b10907 fixes MTP context kv cache allocation for deepseek2, glm4moe, cohere2moe</news:title></news:news></url>
<url><loc>https://korshunov.ai/ru/article/24899-llama-cpp-b10907-ispravliaet-vydelenie-kontekstnogo-kv-kesha-mtp-dlia-deepseek2/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ru</news:language></news:publication><news:publication_date>2026-09-11T12:35:41.883529+00:00</news:publication_date><news:title>llama.cpp b10907 исправляет выделение контекстного kv-кэша MTP для deepseek2, glm4moe, cohere2moe</news:title></news:news></url>
<url><loc>https://korshunov.ai/es/article/24899-llama-cpp-b10907-corrige-la-asignacion-de-cache-kv-de-contexto-mtp-para-glm4moe/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>es</news:language></news:publication><news:publication_date>2026-09-11T12:35:41.883529+00:00</news:publication_date><news:title>llama.cpp b10907 corrige la asignación de caché kv de contexto MTP para deepseek2, glm4moe, cohere2moe</news:title></news:news></url>
<url><loc>https://korshunov.ai/zh-hans/article/24899-llama-cpp-b10907-xiu-fu-liao-deepseek2-glm4moe-cohere2moe-de-mtp-shang-xia-wen/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>zh-cn</news:language></news:publication><news:publication_date>2026-09-11T12:35:41.883529+00:00</news:publication_date><news:title>llama.cpp b10907 修复了 deepseek2、glm4moe、cohere2moe 的 MTP 上下文 kv 缓存分配</news:title></news:news></url>
<url><loc>https://korshunov.ai/pt-br/article/24899-llama-cpp-b10907-corrige-alocacao-de-cache-kv-de-contexto-mtp-para-deepseek2/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>pt</news:language></news:publication><news:publication_date>2026-09-11T12:35:41.883529+00:00</news:publication_date><news:title>llama.cpp b10907 corrige alocação de cache kv de contexto MTP para deepseek2, glm4moe, cohere2moe</news:title></news:news></url>
<url><loc>https://korshunov.ai/hi/article/24899-llama-cpp-b10907-ne-deepseek2-glm4moe-cohere2moe-ke-lie-mtp-sndrbh-kv-kaish-ko/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>hi</news:language></news:publication><news:publication_date>2026-09-11T12:35:41.883529+00:00</news:publication_date><news:title>llama.cpp b10907 ने deepseek2, glm4moe, cohere2moe के लिए MTP संदर्भ kv कैश आवंटन को ठीक किया</news:title></news:news></url>
<url><loc>https://korshunov.ai/ja/article/24899-llama-cpp-b10907-ka-deepseek2-glm4moe-cohere2moe-no-mtp-kontekisuto-kv-ridang/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ja</news:language></news:publication><news:publication_date>2026-09-11T12:35:41.883529+00:00</news:publication_date><news:title>llama.cpp b10907 が deepseek2、glm4moe、cohere2moe の MTP コンテキスト kv キャッシュ割り当てを修正</news:title></news:news></url>
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</urlset>