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<url><loc>https://korshunov.ai/en/article/19779-celestium-pipeline-enables-sdxl-on-4gb-8gb-gpus-via-adaptive-fp16-and-cpu/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>en</news:language></news:publication><news:publication_date>2026-08-20T13:25:10.007431+00:00</news:publication_date><news:title>Celestium pipeline enables SDXL on 4GB-8GB GPUs via adaptive FP16 and CPU fallback</news:title></news:news></url>
<url><loc>https://korshunov.ai/ru/article/19779-konveier-celestium-pozvoliaet-zapuskat-sdxl-na-gpu-s-4-8-gb-pamiati-blagodaria-i/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ru</news:language></news:publication><news:publication_date>2026-08-20T13:25:10.007431+00:00</news:publication_date><news:title>Конвейер Celestium позволяет запускать SDXL на GPU с 4–8 ГБ памяти благодаря адаптивному FP16 и резервному режиму CPU</news:title></news:news></url>
<url><loc>https://korshunov.ai/es/article/19779-la-canalizacion-de-celestium-permite-ejecutar-sdxl-en-gpus-de-4gb-8gb-mediante-y/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>es</news:language></news:publication><news:publication_date>2026-08-20T13:25:10.007431+00:00</news:publication_date><news:title>La canalización de Celestium permite ejecutar SDXL en GPUs de 4GB-8GB mediante FP16 adaptativo y fallback a CPU</news:title></news:news></url>
<url><loc>https://korshunov.ai/zh-hans/article/19779-celestium-guan-dao-tong-guo-zi-gua-ying-fp16-he-cpu-hui-tui-shi-sdxl-zai-4gb-8gb/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>zh-cn</news:language></news:publication><news:publication_date>2026-08-20T13:25:10.007431+00:00</news:publication_date><news:title>Celestium 管道通过自适应 FP16 和 CPU 回退使 SDXL 在 4GB-8GB GPU 上运行</news:title></news:news></url>
<url><loc>https://korshunov.ai/pt-br/article/19779-pipeline-da-celestium-permite-sdxl-em-gpus-de-4gb-8gb-via-fp16-adaptativo-e-para/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>pt</news:language></news:publication><news:publication_date>2026-08-20T13:25:10.007431+00:00</news:publication_date><news:title>Pipeline da Celestium permite SDXL em GPUs de 4GB-8GB via FP16 adaptativo e fallback para CPU</news:title></news:news></url>
<url><loc>https://korshunov.ai/hi/article/19779-celestium-paaiplaain-eddepttiv-fp16-aur-cpu-phonlbaik-ke-maadhym-se-4gb-8gb-gpu/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>hi</news:language></news:publication><news:publication_date>2026-08-20T13:25:10.007431+00:00</news:publication_date><news:title>Celestium पाइपलाइन एडेप्टिव FP16 और CPU फॉलबैक के माध्यम से 4GB-8GB GPU पर SDXL को सक्षम बनाती है</news:title></news:news></url>
<url><loc>https://korshunov.ai/ja/article/19779-celestiumhaihurainniyori-shi-ying-de-fp16tocpuhuo-ruhatsukute4gb-8gb-gpushang-ke/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ja</news:language></news:publication><news:publication_date>2026-08-20T13:25:10.007431+00:00</news:publication_date><news:title>Celestiumパイプラインにより、適応的FP16とCPUフォールバックで4GB-8GB GPU上でSDXLが実行可能に</news:title></news:news></url>
<url><loc>https://korshunov.ai/ko/article/19779-celestium-paipeuraini-jeogeunghyeong-fp16gwa-cpu-polbaegeul-tonghae-4gb-8gb-sdxl/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ko</news:language></news:publication><news:publication_date>2026-08-20T13:25:10.007431+00:00</news:publication_date><news:title>Celestium 파이프라인이 적응형 FP16과 CPU 폴백을 통해 4GB-8GB GPU에서 SDXL 실행 가능</news:title></news:news></url>
<url><loc>https://korshunov.ai/fr/article/19779-le-pipeline-celestium-permet-l-execution-de-sdxl-sur-des-gpu-de-4-a-8-go-grace-a/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>fr</news:language></news:publication><news:publication_date>2026-08-20T13:25:10.007431+00:00</news:publication_date><news:title>Le pipeline Celestium permet l'exécution de SDXL sur des GPU de 4 à 8 Go grâce à la précision FP16 adaptative et au basculement vers le CPU</news:title></news:news></url>
<url><loc>https://korshunov.ai/id/article/19779-pipeline-celestium-memungkinkan-sdxl-pada-gpu-4gb-8gb-melalui-fp16-adaptif-dan/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>id</news:language></news:publication><news:publication_date>2026-08-20T13:25:10.007431+00:00</news:publication_date><news:title>Pipeline Celestium memungkinkan SDXL pada GPU 4GB-8GB melalui FP16 adaptif dan fallback CPU</news:title></news:news></url>
<url><loc>https://korshunov.ai/ar/article/19779-ttyh-kht-nbyb-celestium-tshgyl-sdxl-l-whdt-m-lj-lrswmt-bs-4gb-8gb-br-ldq-ltkyfy/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ar</news:language></news:publication><news:publication_date>2026-08-20T13:25:10.007431+00:00</news:publication_date><news:title>تتيح خط أنابيب Celestium تشغيل SDXL على وحدات معالجة الرسومات بسعة 4GB-8GB عبر الدقة التكيفية FP16 والعودة إلى وحدة المعالجة المركزية</news:title></news:news></url>
<url><loc>https://korshunov.ai/en/article/19773-kafidog-releases-open-source-ai-content-factory-for-offline-content-pipelines/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>en</news:language></news:publication><news:publication_date>2026-08-20T12:41:18.708334+00:00</news:publication_date><news:title>kafidog releases open-source AI Content Factory for offline content pipelines</news:title></news:news></url>
<url><loc>https://korshunov.ai/ru/article/19773-kafidog-vypuskaet-open-source-ai-content-factory-dlia-oflain-konveierov-kontenta/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ru</news:language></news:publication><news:publication_date>2026-08-20T12:41:18.708334+00:00</news:publication_date><news:title>kafidog выпускает open-source AI Content Factory для офлайн-конвейеров контента</news:title></news:news></url>
<url><loc>https://korshunov.ai/es/article/19773-kafidog-lanza-ai-content-factory-de-codigo-abierto-para-pipelines-de-contenido/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>es</news:language></news:publication><news:publication_date>2026-08-20T12:41:18.708334+00:00</news:publication_date><news:title>kafidog lanza AI Content Factory de código abierto para pipelines de contenido sin conexión</news:title></news:news></url>
<url><loc>https://korshunov.ai/zh-hans/article/19773-kafidog-fa-bu-yong-yu-chi-xian-nei-rong-guan-dao-de-kai-yuan-ai-content-factory/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>zh-cn</news:language></news:publication><news:publication_date>2026-08-20T12:41:18.708334+00:00</news:publication_date><news:title>kafidog 发布用于离线内容管道的开源 AI Content Factory</news:title></news:news></url>
<url><loc>https://korshunov.ai/pt-br/article/19773-kafidog-lanca-ai-content-factory-de-codigo-aberto-para-pipelines-de-conteudo/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>pt</news:language></news:publication><news:publication_date>2026-08-20T12:41:18.708334+00:00</news:publication_date><news:title>kafidog lança AI Content Factory de código aberto para pipelines de conteúdo offline</news:title></news:news></url>
<url><loc>https://korshunov.ai/hi/article/19773-kafidog-ne-onphlaain-knttentt-paaiplaainon-ke-lie-opn-sors-ai-content-factory/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>hi</news:language></news:publication><news:publication_date>2026-08-20T12:41:18.708334+00:00</news:publication_date><news:title>kafidog ने ऑफ़लाइन कंटेंट पाइपलाइनों के लिए ओपन-सोर्स AI Content Factory जारी किया</news:title></news:news></url>
<url><loc>https://korshunov.ai/ja/article/19773-kafidogkaohurainkontentsuhaihurainxiang-kenoo-hunso-suai-content-factoryworiri/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ja</news:language></news:publication><news:publication_date>2026-08-20T12:41:18.708334+00:00</news:publication_date><news:title>kafidogがオフラインコンテンツパイプライン向けのオープンソースAI Content Factoryをリリース</news:title></news:news></url>
<url><loc>https://korshunov.ai/ko/article/19773-kafidogi-opeurain-kontenceu-paipeuraineul-wihan-opeunsoseu-ai-content-factory/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ko</news:language></news:publication><news:publication_date>2026-08-20T12:41:18.708334+00:00</news:publication_date><news:title>kafidog이 오프라인 콘텐츠 파이프라인을 위한 오픈소스 AI Content Factory 출시</news:title></news:news></url>
<url><loc>https://korshunov.ai/fr/article/19773-kafidog-lance-ai-content-factory-open-source-pour-les-pipelines-de-contenu-hors/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>fr</news:language></news:publication><news:publication_date>2026-08-20T12:41:18.708334+00:00</news:publication_date><news:title>kafidog lance AI Content Factory open-source pour les pipelines de contenu hors ligne</news:title></news:news></url>
<url><loc>https://korshunov.ai/id/article/19773-kafidog-merilis-ai-content-factory-open-source-untuk-pipeline-konten-offline/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>id</news:language></news:publication><news:publication_date>2026-08-20T12:41:18.708334+00:00</news:publication_date><news:title>kafidog merilis AI Content Factory open-source untuk pipeline konten offline</news:title></news:news></url>
<url><loc>https://korshunov.ai/ar/article/19773-kafidog-ttlq-ai-content-factory-mftwh-lmsdr-lkhtwt-nbyb-lmhtw-gyr-lmtsl/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ar</news:language></news:publication><news:publication_date>2026-08-20T12:41:18.708334+00:00</news:publication_date><news:title>kafidog تطلق AI Content Factory مفتوح المصدر لخطوط أنابيب المحتوى غير المتصل</news:title></news:news></url>
<url><loc>https://korshunov.ai/en/article/19783-llama-cpp-b10514-adds-conversion-support-for-graniteswa-and-granitemoeswa-models/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>en</news:language></news:publication><news:publication_date>2026-08-20T12:29:40.994787+00:00</news:publication_date><news:title>llama.cpp b10514 adds conversion support for GraniteSWA and GraniteMoeSWA models</news:title></news:news></url>
<url><loc>https://korshunov.ai/ru/article/19783-llama-cpp-b10514-dobavliaet-podderzhku-konvertatsii-modelei-graniteswa-i/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ru</news:language></news:publication><news:publication_date>2026-08-20T12:29:40.994787+00:00</news:publication_date><news:title>llama.cpp b10514 добавляет поддержку конвертации моделей GraniteSWA и GraniteMoeSWA</news:title></news:news></url>
<url><loc>https://korshunov.ai/es/article/19783-llama-cpp-b10514-anade-soporte-de-conversion-para-modelos-graniteswa-y/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>es</news:language></news:publication><news:publication_date>2026-08-20T12:29:40.994787+00:00</news:publication_date><news:title>llama.cpp b10514 añade soporte de conversión para modelos GraniteSWA y GraniteMoeSWA</news:title></news:news></url>
<url><loc>https://korshunov.ai/zh-hans/article/19783-llama-cpp-b10514-zeng-jia-liao-dui-graniteswa-he-granitemoeswa-mo-xing-de-zhuan/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>zh-cn</news:language></news:publication><news:publication_date>2026-08-20T12:29:40.994787+00:00</news:publication_date><news:title>llama.cpp b10514 增加了对 GraniteSWA 和 GraniteMoeSWA 模型的转换支持</news:title></news:news></url>
<url><loc>https://korshunov.ai/pt-br/article/19783-llama-cpp-b10514-adiciona-suporte-de-conversao-para-modelos-graniteswa-e/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>pt</news:language></news:publication><news:publication_date>2026-08-20T12:29:40.994787+00:00</news:publication_date><news:title>llama.cpp b10514 adiciona suporte de conversão para modelos GraniteSWA e GraniteMoeSWA</news:title></news:news></url>
<url><loc>https://korshunov.ai/hi/article/19783-llama-cpp-b10514-men-graniteswa-aur-granitemoeswa-monddlon-ke-lie-ruupaantrnn/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>hi</news:language></news:publication><news:publication_date>2026-08-20T12:29:40.994787+00:00</news:publication_date><news:title>llama.cpp b10514 में GraniteSWA और GraniteMoeSWA मॉडलों के लिए रूपांतरण समर्थन जोड़ा गया</news:title></news:news></url>
<url><loc>https://korshunov.ai/ja/article/19783-llama-cpp-b10514-ka-graniteswa-oyohi-granitemoeswa-moterunobian-huan-saho-jia/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ja</news:language></news:publication><news:publication_date>2026-08-20T12:29:40.994787+00:00</news:publication_date><news:title>llama.cpp b10514 が GraniteSWA および GraniteMoeSWA モデルの変換サポートを追加</news:title></news:news></url>
<url><loc>https://korshunov.ai/ko/article/19783-llama-cpp-b10514-graniteswa-mic-granitemoeswa-model-byeonhwan-jiweon-cuga/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ko</news:language></news:publication><news:publication_date>2026-08-20T12:29:40.994787+00:00</news:publication_date><news:title>llama.cpp b10514, GraniteSWA 및 GraniteMoeSWA 모델 변환 지원 추가</news:title></news:news></url>
<url><loc>https://korshunov.ai/fr/article/19783-llama-cpp-b10514-ajoute-le-support-de-conversion-pour-les-modeles-graniteswa-et/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>fr</news:language></news:publication><news:publication_date>2026-08-20T12:29:40.994787+00:00</news:publication_date><news:title>llama.cpp b10514 ajoute le support de conversion pour les modèles GraniteSWA et GraniteMoeSWA</news:title></news:news></url>
<url><loc>https://korshunov.ai/id/article/19783-llama-cpp-b10514-menambahkan-dukungan-konversi-untuk-model-graniteswa-dan/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>id</news:language></news:publication><news:publication_date>2026-08-20T12:29:40.994787+00:00</news:publication_date><news:title>llama.cpp b10514 menambahkan dukungan konversi untuk model GraniteSWA dan GraniteMoeSWA</news:title></news:news></url>
<url><loc>https://korshunov.ai/ar/article/19783-llama-cpp-b10514-ydyf-d-m-lthwyl-lnmdhj-graniteswa-wgranitemoeswa/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ar</news:language></news:publication><news:publication_date>2026-08-20T12:29:40.994787+00:00</news:publication_date><news:title>llama.cpp b10514 يضيف دعم التحويل لنماذج GraniteSWA وGraniteMoeSWA</news:title></news:news></url>
<url><loc>https://korshunov.ai/en/article/19765-phillip-linstrum-introduces-project-shadow-an-ai-governance-architecture-based/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>en</news:language></news:publication><news:publication_date>2026-08-20T12:04:06.270310+00:00</news:publication_date><news:title>Phillip Linstrum introduces Project Shadow, an AI governance architecture based on regulated quality systems</news:title></news:news></url>
<url><loc>https://korshunov.ai/ru/article/19765-filipp-linstrum-predstavliaet-proekt-shadow-arkhitektura-upravleniia-ii-na/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ru</news:language></news:publication><news:publication_date>2026-08-20T12:04:06.270310+00:00</news:publication_date><news:title>Филипп Линструм представляет проект Shadow: архитектура управления ИИ на основе регулируемых систем качества</news:title></news:news></url>
<url><loc>https://korshunov.ai/es/article/19765-phillip-linstrum-presenta-project-shadow-una-arquitectura-de-gobernanza-de-ia-en/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>es</news:language></news:publication><news:publication_date>2026-08-20T12:04:06.270310+00:00</news:publication_date><news:title>Phillip Linstrum presenta Project Shadow, una arquitectura de gobernanza de IA basada en sistemas de calidad regulados</news:title></news:news></url>
<url><loc>https://korshunov.ai/zh-hans/article/19765-phillip-linstrum-tui-chu-project-shadow-yi-chong-ji-yu-shou-jian-guan-zhi-liang/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>zh-cn</news:language></news:publication><news:publication_date>2026-08-20T12:04:06.270310+00:00</news:publication_date><news:title>Phillip Linstrum 推出 Project Shadow，一种基于受监管质量体系的 AI 治理架构</news:title></news:news></url>
<url><loc>https://korshunov.ai/pt-br/article/19765-phillip-linstrum-apresenta-o-project-shadow-uma-arquitetura-de-governanca-de-ia/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>pt</news:language></news:publication><news:publication_date>2026-08-20T12:04:06.270310+00:00</news:publication_date><news:title>Phillip Linstrum apresenta o Project Shadow, uma arquitetura de governança de IA baseada em sistemas de qualidade regulados</news:title></news:news></url>
<url><loc>https://korshunov.ai/hi/article/19765-philip-linsttrm-ne-projektt-sheddo-kaa-pricy-diyaa-jo-niyntrit-gunnvttaa-pr-ek/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>hi</news:language></news:publication><news:publication_date>2026-08-20T12:04:06.270310+00:00</news:publication_date><news:title>फिलिप लिन्स्ट्रम ने प्रोजेक्ट शेडो का परिचय दिया, जो नियंत्रित गुणवत्ता प्रणालियों पर आधारित एक AI शासन वास्तुकला है</news:title></news:news></url>
<url><loc>https://korshunov.ai/ja/article/19765-huiritsuhu-rinsutoramuka-gui-zhi-saretapin-zhi-shisutemuniji-tsukuaikahanansua/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ja</news:language></news:publication><news:publication_date>2026-08-20T12:04:06.270310+00:00</news:publication_date><news:title>フィリップ・リンストラムが、規制された品質システムに基づくAIガバナンスアーキテクチャであるProject Shadowを紹介</news:title></news:news></url>
<url><loc>https://korshunov.ai/ko/article/19765-pilrib-rinseuteureomi-gyujedoen-pumjil-siseutemeul-gibaneuro-han-ai-akitegceoin/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ko</news:language></news:publication><news:publication_date>2026-08-20T12:04:06.270310+00:00</news:publication_date><news:title>필립 린스트럼이 규제된 품질 시스템을 기반으로 한 AI 거버넌스 아키텍처인 프로젝트 섀도를 소개하다</news:title></news:news></url>
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<url><loc>https://korshunov.ai/ar/article/19764-nqsh-hwl-parsewave-wljwd-bdlan-mn-lhjm-fy-bynt-m-b-d-ltdryb/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ar</news:language></news:publication><news:publication_date>2026-08-20T11:38:10.960252+00:00</news:publication_date><news:title>نقاش حول Parsewave والجودة بدلاً من الحجم في بيانات ما بعد التدريب</news:title></news:news></url>
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<url><loc>https://korshunov.ai/en/article/19763-measurements-suggest-revisiting-q-proj-v-proj-default-for-lora-target-modules/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>en</news:language></news:publication><news:publication_date>2026-08-20T11:29:46.158873+00:00</news:publication_date><news:title>Measurements suggest revisiting q_proj/v_proj default for LoRA target modules</news:title></news:news></url>
<url><loc>https://korshunov.ai/ru/article/19763-izmereniia-ukazyvaiut-na-neobkhodimost-peresmotra-znacheniia-q-proj-v-proj-po/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ru</news:language></news:publication><news:publication_date>2026-08-20T11:29:46.158873+00:00</news:publication_date><news:title>Измерения указывают на необходимость пересмотра значения q_proj/v_proj по умолчанию для целевых модулей LoRA</news:title></news:news></url>
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<url><loc>https://korshunov.ai/ja/article/19763-ce-ding-jie-guo-haloranota-ketsutomoshiyu-runiokeruq-proj-v-zhi-sukotowoshi-suo/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ja</news:language></news:publication><news:publication_date>2026-08-20T11:29:46.158873+00:00</news:publication_date><news:title>測定結果はLoRAのターゲットモジュールにおけるq_proj/v_projのデフォルトを見直すことを示唆している</news:title></news:news></url>
<url><loc>https://korshunov.ai/ko/article/19763-ceugjeong-gyeolgwa-lora-daesang-modyulyi-q-proj-v-proj-gibongabs-jaegeomto-sisa/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ko</news:language></news:publication><news:publication_date>2026-08-20T11:29:46.158873+00:00</news:publication_date><news:title>측정 결과 LoRA 대상 모듈의 q_proj/v_proj 기본값 재검토 필요성 시사</news:title></news:news></url>
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<url><loc>https://korshunov.ai/ru/article/19753-openai-priostanavlivaet-obuchenie-peredovykh-modelei-iz-za-problem-s/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ru</news:language></news:publication><news:publication_date>2026-08-20T10:46:14.731960+00:00</news:publication_date><news:title>OpenAI приостанавливает обучение передовых моделей из-за проблем с выравниванием</news:title></news:news></url>
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<url><loc>https://korshunov.ai/ko/article/19758-cartesiaga-sonic-3-6reul-culsihamyeo-artificial-analysis-eumseong-rideobodeueseo/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ko</news:language></news:publication><news:publication_date>2026-08-20T10:29:12.086506+00:00</news:publication_date><news:title>Cartesia가 Sonic-3.6를 출시하며 Artificial Analysis 음성 리더보드에서 선두 차지</news:title></news:news></url>
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<url><loc>https://korshunov.ai/es/article/19749-llama-cpp-b10509-anade-soporte-para-ggml-rope-set-offset-en-metal-cuda-y-vulkan/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>es</news:language></news:publication><news:publication_date>2026-08-20T08:12:03.125930+00:00</news:publication_date><news:title>llama.cpp b10509 añade soporte para ggml_rope_set_offset en Metal, CUDA y Vulkan</news:title></news:news></url>
<url><loc>https://korshunov.ai/zh-hans/article/19749-llama-cpp-b10509-wei-metal-cuda-he-vulkan-tian-jia-ggml-rope-set-offset-zhi-chi/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>zh-cn</news:language></news:publication><news:publication_date>2026-08-20T08:12:03.125930+00:00</news:publication_date><news:title>llama.cpp b10509 为 Metal、CUDA 和 Vulkan 添加 ggml_rope_set_offset 支持</news:title></news:news></url>
<url><loc>https://korshunov.ai/pt-br/article/19749-llama-cpp-b10509-adiciona-suporte-a-ggml-rope-set-offset-para-metal-cuda-e/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>pt</news:language></news:publication><news:publication_date>2026-08-20T08:12:03.125930+00:00</news:publication_date><news:title>llama.cpp b10509 adiciona suporte a ggml_rope_set_offset para Metal, CUDA e Vulkan</news:title></news:news></url>
<url><loc>https://korshunov.ai/hi/article/19749-llama-cpp-b10509-ne-metal-cuda-aur-vulkan-ke-lie-ggml-rope-set-offset-smrthn-hai/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>hi</news:language></news:publication><news:publication_date>2026-08-20T08:12:03.125930+00:00</news:publication_date><news:title>llama.cpp b10509 ने Metal, CUDA और Vulkan के लिए ggml_rope_set_offset समर्थन जोड़ा है</news:title></news:news></url>
<url><loc>https://korshunov.ai/ja/article/19749-llama-cpp-b10509-ka-metal-cuda-vulkan-xiang-keni-ggml-rope-set-offset-saho-jia/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ja</news:language></news:publication><news:publication_date>2026-08-20T08:12:03.125930+00:00</news:publication_date><news:title>llama.cpp b10509 が Metal、CUDA、Vulkan 向けに ggml_rope_set_offset サポートを追加</news:title></news:news></url>
<url><loc>https://korshunov.ai/ko/article/19749-llama-cpp-b10509-metal-cuda-vulkane-ggml-rope-set-offset-jiweon-cuga/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ko</news:language></news:publication><news:publication_date>2026-08-20T08:12:03.125930+00:00</news:publication_date><news:title>llama.cpp b10509, Metal, CUDA, Vulkan에 ggml_rope_set_offset 지원 추가</news:title></news:news></url>
<url><loc>https://korshunov.ai/fr/article/19749-llama-cpp-b10509-ajoute-le-support-de-ggml-rope-set-offset-pour-metal-cuda-et/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>fr</news:language></news:publication><news:publication_date>2026-08-20T08:12:03.125930+00:00</news:publication_date><news:title>llama.cpp b10509 ajoute le support de ggml_rope_set_offset pour Metal, CUDA et Vulkan</news:title></news:news></url>
<url><loc>https://korshunov.ai/id/article/19749-llama-cpp-b10509-menambahkan-dukungan-ggml-rope-set-offset-untuk-metal-cuda-dan/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>id</news:language></news:publication><news:publication_date>2026-08-20T08:12:03.125930+00:00</news:publication_date><news:title>llama.cpp b10509 menambahkan dukungan ggml_rope_set_offset untuk Metal, CUDA, dan Vulkan</news:title></news:news></url>
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<url><loc>https://korshunov.ai/en/article/19744-symphony-orchestrates-sparse-and-dense-tensors-with-hierarchical-heterogeneous/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>en</news:language></news:publication><news:publication_date>2026-08-20T06:07:28.226694+00:00</news:publication_date><news:title>Symphony orchestrates sparse and dense tensors with hierarchical heterogeneous processing</news:title></news:news></url>
<url><loc>https://korshunov.ai/ru/article/19744-symphony-orkestruet-razrezhennye-i-plotnye-tenzory-s-pomoshchiu-ierarkhicheskoi/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ru</news:language></news:publication><news:publication_date>2026-08-20T06:07:28.226694+00:00</news:publication_date><news:title>Symphony оркеструет разреженные и плотные тензоры с помощью иерархической гетерогенной обработки</news:title></news:news></url>
<url><loc>https://korshunov.ai/es/article/19744-symphony-orquesta-tensores-dispersos-y-densos-con-procesamiento-heterogeneo/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>es</news:language></news:publication><news:publication_date>2026-08-20T06:07:28.226694+00:00</news:publication_date><news:title>Symphony orquesta tensores dispersos y densos con procesamiento heterogéneo jerárquico</news:title></news:news></url>
<url><loc>https://korshunov.ai/zh-hans/article/19744-symphony-tong-guo-fen-ceng-yi-gou-chu-li-bian-pai-xi-shu-he-chou-mi-zhang-liang/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>zh-cn</news:language></news:publication><news:publication_date>2026-08-20T06:07:28.226694+00:00</news:publication_date><news:title>Symphony 通过分层异构处理编排稀疏和稠密张量</news:title></news:news></url>
<url><loc>https://korshunov.ai/pt-br/article/19744-symphony-orquestra-tensores-esparsos-e-densos-com-processamento-heterogeneo/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>pt</news:language></news:publication><news:publication_date>2026-08-20T06:07:28.226694+00:00</news:publication_date><news:title>Symphony orquestra tensores esparsos e densos com processamento heterogêneo hierárquico</news:title></news:news></url>
<url><loc>https://korshunov.ai/hi/article/19744-symphony-pdaanukrmit-vissm-prsnskrnn-ke-saath-virl-aur-sghn-ttensr-kaa-sncaaln/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>hi</news:language></news:publication><news:publication_date>2026-08-20T06:07:28.226694+00:00</news:publication_date><news:title>Symphony पदानुक्रमित विषम प्रसंस्करण के साथ विरल और सघन टेंसर का संचालन करता है</news:title></news:news></url>
<url><loc>https://korshunov.ai/ja/article/19744-symphonyhajie-ceng-xing-yi-zhong-chu-li-teshu-oyohimi-tensoruwoo-kesutore-shiyon/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ja</news:language></news:publication><news:publication_date>2026-08-20T06:07:28.226694+00:00</news:publication_date><news:title>Symphonyは階層型異種処理で疎および密テンソルをオーケストレーション</news:title></news:news></url>
<url><loc>https://korshunov.ai/ko/article/19744-symphonyneun-gyeceungjeog-ijong-ceoriro-hyiso-mic-miljib-tenseoreul/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ko</news:language></news:publication><news:publication_date>2026-08-20T06:07:28.226694+00:00</news:publication_date><news:title>Symphony는 계층적 이종 처리로 희소 및 밀집 텐서를 오케스트레이션합니다</news:title></news:news></url>
<url><loc>https://korshunov.ai/fr/article/19744-symphony-orchestre-les-tenseurs-clairsemes-et-denses-avec-un-traitement/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>fr</news:language></news:publication><news:publication_date>2026-08-20T06:07:28.226694+00:00</news:publication_date><news:title>Symphony orchestre les tenseurs clairsemés et denses avec un traitement hétérogène hiérarchique</news:title></news:news></url>
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<url><loc>https://korshunov.ai/ar/article/19744-symphony-tunswq-lmsfwft-lmtnthr-wlkthyf-bm-lj-gyr-mtjns-hrmy/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ar</news:language></news:publication><news:publication_date>2026-08-20T06:07:28.226694+00:00</news:publication_date><news:title>Symphony تُنسّق المصفوفات المتناثرة والكثيفة بمعالجة غير متجانسة هرمية</news:title></news:news></url>
<url><loc>https://korshunov.ai/pt-br/article/19743-z-ai-propoe-lei-de-escala-pos-treinamento-e-lanca-glm-5-3-ornith-1-5-inicia-com/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>pt</news:language></news:publication><news:publication_date>2026-08-20T05:58:10.818997+00:00</news:publication_date><news:title>Z.ai propõe lei de escala pós-treinamento e lança GLM 5.3; Ornith-1.5 inicia com autoaperfeiçoamento</news:title></news:news></url>
<url><loc>https://korshunov.ai/en/article/19743-z-ai-proposes-post-training-scaling-law-and-releases-glm-5-3-ornith-1-5-launches/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>en</news:language></news:publication><news:publication_date>2026-08-20T05:58:10.818997+00:00</news:publication_date><news:title>Z.ai proposes post-training scaling law and releases GLM 5.3; Ornith-1.5 launches with self-improvement</news:title></news:news></url>
<url><loc>https://korshunov.ai/ru/article/19743-z-ai-predlagaet-zakon-masshtabirovaniia-posle-doobucheniia-i-vypuskaet-glm-5-3-1/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ru</news:language></news:publication><news:publication_date>2026-08-20T05:58:10.818997+00:00</news:publication_date><news:title>Z.ai предлагает закон масштабирования после дообучения и выпускает GLM 5.3; Ornith-1.5 выходит с функцией самосовершенствования</news:title></news:news></url>
<url><loc>https://korshunov.ai/es/article/19743-z-ai-propone-una-ley-de-escalado-post-entrenamiento-y-lanza-glm-5-3-ornith-1-5/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>es</news:language></news:publication><news:publication_date>2026-08-20T05:58:10.818997+00:00</news:publication_date><news:title>Z.ai propone una ley de escalado post-entrenamiento y lanza GLM 5.3; Ornith-1.5 se lanza con auto-mejora</news:title></news:news></url>
<url><loc>https://korshunov.ai/zh-hans/article/19743-z-aiti-chu-hou-xun-lian-suo-fang-ding-lu-bing-fa-bu-glm-5-3-ornith-1-5yi-zi-wo/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>zh-cn</news:language></news:publication><news:publication_date>2026-08-20T05:58:10.818997+00:00</news:publication_date><news:title>Z.ai提出后训练缩放定律并发布GLM 5.3；Ornith-1.5以自我改进能力上线</news:title></news:news></url>
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<url><loc>https://korshunov.ai/ja/article/19743-z-aikahosutotore-ninkunosuke-rinkufa-woti-an-shiglm-5-3woriri-su-ornith-1-5kazi/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ja</news:language></news:publication><news:publication_date>2026-08-20T05:58:10.818997+00:00</news:publication_date><news:title>Z.aiがポストトレーニングのスケーリング法を提案しGLM 5.3をリリース、Ornith-1.5が自己改善機能で登場</news:title></news:news></url>
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<url><loc>https://korshunov.ai/hi/article/19380-bhs-prshikssnn-rlaif-men-inaam-haiking-ko-km-krtaa-hai/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>hi</news:language></news:publication><news:publication_date>2026-08-19T02:57:12.702450+00:00</news:publication_date><news:title>बहस प्रशिक्षण RLAIF में इनाम हैकिंग को कम करता है</news:title></news:news></url>
<url><loc>https://korshunov.ai/ja/article/19380-teihe-toxun-lian-harlaifniokerubao-chou-hatsukinkuwodi-jian-suru/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ja</news:language></news:publication><news:publication_date>2026-08-19T02:57:12.702450+00:00</news:publication_date><news:title>ディベート訓練はRLAIFにおける報酬ハッキングを低減する</news:title></news:news></url>
<url><loc>https://korshunov.ai/ko/article/19380-toron-hunryeoni-rlaifyi-bosang-haekingeul-julim/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ko</news:language></news:publication><news:publication_date>2026-08-19T02:57:12.702450+00:00</news:publication_date><news:title>토론 훈련이 RLAIF의 보상 해킹을 줄임</news:title></news:news></url>
<url><loc>https://korshunov.ai/fr/article/19380-l-entrainement-par-debat-reduit-le-piratage-de-la-recompense-dans-rlaif/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>fr</news:language></news:publication><news:publication_date>2026-08-19T02:57:12.702450+00:00</news:publication_date><news:title>L'entraînement par débat réduit le piratage de la récompense dans RLAIF</news:title></news:news></url>
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<url><loc>https://korshunov.ai/es/article/19340-glean-utiliza-el-enrutamiento-de-modelos-para-reducir-costos-y-seleccionar-llm/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>es</news:language></news:publication><news:publication_date>2026-08-19T00:28:41.352684+00:00</news:publication_date><news:title>Glean utiliza el enrutamiento de modelos para reducir costos y seleccionar LLM óptimos</news:title></news:news></url>
<url><loc>https://korshunov.ai/zh-hans/article/19340-glean-li-yong-mo-xing-lu-you-jiang-di-cheng-ben-bing-xuan-ze-zui-you-da-yu-yan/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>zh-cn</news:language></news:publication><news:publication_date>2026-08-19T00:28:41.352684+00:00</news:publication_date><news:title>Glean 利用模型路由降低成本并选择最优大语言模型</news:title></news:news></url>
<url><loc>https://korshunov.ai/pt-br/article/19340-glean-usa-roteamento-de-modelos-para-reduzir-custos-e-selecionar-llms-otimos/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>pt</news:language></news:publication><news:publication_date>2026-08-19T00:28:41.352684+00:00</news:publication_date><news:title>Glean usa roteamento de modelos para reduzir custos e selecionar LLMs ótimos</news:title></news:news></url>
<url><loc>https://korshunov.ai/hi/article/19340-glean-monddl-ruutting-kaa-upyog-krke-laagt-km-krtaa-hai-aur-isstttm-llms-kaa-cyn/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>hi</news:language></news:publication><news:publication_date>2026-08-19T00:28:41.352684+00:00</news:publication_date><news:title>Glean मॉडल रूटिंग का उपयोग करके लागत कम करता है और इष्टतम LLMs का चयन करता है</news:title></news:news></url>
<url><loc>https://korshunov.ai/ja/article/19340-gleanhamoteruru-teinkutekosutowoxue-jian-shi-zui-shi-nallmwoxuan-ze-suru/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ja</news:language></news:publication><news:publication_date>2026-08-19T00:28:41.352684+00:00</news:publication_date><news:title>Gleanはモデルルーティングでコストを削減し、最適なLLMを選択する</news:title></news:news></url>
<url><loc>https://korshunov.ai/ko/article/19340-gleaneun-model-rautingeul-tonghae-biyongeul-jeolgamhago-coejeogyi-llmeul/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ko</news:language></news:publication><news:publication_date>2026-08-19T00:28:41.352684+00:00</news:publication_date><news:title>Glean은 모델 라우팅을 통해 비용을 절감하고 최적의 LLM을 선택합니다</news:title></news:news></url>
<url><loc>https://korshunov.ai/fr/article/19340-glean-utilise-le-routage-de-modeles-pour-reduire-les-couts-et-selectionner-les/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>fr</news:language></news:publication><news:publication_date>2026-08-19T00:28:41.352684+00:00</news:publication_date><news:title>Glean utilise le routage de modèles pour réduire les coûts et sélectionner les LLM optimaux</news:title></news:news></url>
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<url><loc>https://korshunov.ai/ar/article/19340-tstkhdm-glyn-twjyh-lnmdhj-lkhfd-ltklyf-wkhtyr-fdl-nmdhj-lgwy-kbyr/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ar</news:language></news:publication><news:publication_date>2026-08-19T00:28:41.352684+00:00</news:publication_date><news:title>تستخدم غلين توجيه النماذج لخفض التكاليف واختيار أفضل نماذج لغوية كبيرة</news:title></news:news></url>
<url><loc>https://korshunov.ai/en/article/19336-young25-releases-humor-vote-a-chinese-humor-dataset-with-human-vote-labels/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>en</news:language></news:publication><news:publication_date>2026-08-18T21:51:29.586172+00:00</news:publication_date><news:title>Young25 releases Humor_Vote, a Chinese humor dataset with human vote labels</news:title></news:news></url>
<url><loc>https://korshunov.ai/ru/article/19336-young25-vypuskaet-humor-vote-kitaiskii-dataset-iumora-s-metkami-golosov-liudei/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ru</news:language></news:publication><news:publication_date>2026-08-18T21:51:29.586172+00:00</news:publication_date><news:title>Young25 выпускает Humor_Vote, китайский датасет юмора с метками голосов людей</news:title></news:news></url>
<url><loc>https://korshunov.ai/es/article/19336-young25-lanza-humor-vote-un-conjunto-de-datos-de-humor-chino-con-etiquetas-de/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>es</news:language></news:publication><news:publication_date>2026-08-18T21:51:29.586172+00:00</news:publication_date><news:title>Young25 lanza Humor_Vote, un conjunto de datos de humor chino con etiquetas de votos humanos</news:title></news:news></url>
<url><loc>https://korshunov.ai/zh-hans/article/19336-young25fa-bu-humor-vote-yi-ge-dai-you-zhen-ren-tou-piao-biao-qian-de-zhong-wen/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>zh-cn</news:language></news:publication><news:publication_date>2026-08-18T21:51:29.586172+00:00</news:publication_date><news:title>Young25发布Humor_Vote，一个带有真人投票标签的中文幽默数据集</news:title></news:news></url>
<url><loc>https://korshunov.ai/pt-br/article/19336-young25-lanca-humor-vote-um-conjunto-de-dados-de-humor-chines-com-rotulos-de/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>pt</news:language></news:publication><news:publication_date>2026-08-18T21:51:29.586172+00:00</news:publication_date><news:title>Young25 lança Humor_Vote, um conjunto de dados de humor chinês com rótulos de votos humanos</news:title></news:news></url>
<url><loc>https://korshunov.ai/hi/article/19336-young25-ne-humor-vote-jaarii-kiyaa-jo-maanv-vott-lebl-ke-saath-ek-ciinii-haasy/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>hi</news:language></news:publication><news:publication_date>2026-08-18T21:51:29.586172+00:00</news:publication_date><news:title>Young25 ने Humor_Vote जारी किया, जो मानव वोट लेबल के साथ एक चीनी हास्य डेटासेट है</news:title></news:news></url>
<url><loc>https://korshunov.ai/ja/article/19336-young25kahumantou-piao-raherufu-kinozhong-guo-yu-yu-moate-tasetsutohumor-su/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ja</news:language></news:publication><news:publication_date>2026-08-18T21:51:29.586172+00:00</news:publication_date><news:title>Young25がHuman投票ラベル付きの中国語ユーモアデータセットHumor_Voteをリリース</news:title></news:news></url>
<url><loc>https://korshunov.ai/ko/article/19336-young25i-ingan-tupyo-reibeuli-pohamdoen-junggugeo-yumeo-deiteoses-humor-vote/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ko</news:language></news:publication><news:publication_date>2026-08-18T21:51:29.586172+00:00</news:publication_date><news:title>Young25이 인간 투표 레이블이 포함된 중국어 유머 데이터셋 Humor_Vote 출시</news:title></news:news></url>
<url><loc>https://korshunov.ai/fr/article/19336-young25-lance-humor-vote-un-jeu-de-donnees-d-humour-chinois-avec-etiquettes-de/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>fr</news:language></news:publication><news:publication_date>2026-08-18T21:51:29.586172+00:00</news:publication_date><news:title>Young25 lance Humor_Vote, un jeu de données d'humour chinois avec étiquettes de votes humains</news:title></news:news></url>
<url><loc>https://korshunov.ai/id/article/19336-young25-merilis-humor-vote-dataset-humor-tiongkok-dengan-label-suara-manusia/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>id</news:language></news:publication><news:publication_date>2026-08-18T21:51:29.586172+00:00</news:publication_date><news:title>Young25 merilis Humor_Vote, dataset humor Tiongkok dengan label suara manusia</news:title></news:news></url>
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<url><loc>https://korshunov.ai/ru/article/19312-cerist-doobuchaet-qwen2-5-vl-3b-dlia-raspoznavaniia-arabskikh-istoricheskikh/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ru</news:language></news:publication><news:publication_date>2026-08-18T16:15:16.544370+00:00</news:publication_date><news:title>CERIST дообучает Qwen2.5-VL-3B для распознавания арабских исторических рукописей</news:title></news:news></url>
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<url><loc>https://korshunov.ai/zh-hans/article/19312-ceristzhen-dui-a-la-bo-li-shi-shou-gao-shi-bie-wei-diao-qwen2-5-vl-3b/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>zh-cn</news:language></news:publication><news:publication_date>2026-08-18T16:15:16.544370+00:00</news:publication_date><news:title>CERIST针对阿拉伯历史手稿识别微调Qwen2.5-VL-3B</news:title></news:news></url>
<url><loc>https://korshunov.ai/pt-br/article/19312-cerist-faz-fine-tune-do-qwen2-5-vl-3b-para-reconhecimento-de-manuscritos-arabes/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>pt</news:language></news:publication><news:publication_date>2026-08-18T16:15:16.544370+00:00</news:publication_date><news:title>CERIST faz fine-tune do Qwen2.5-VL-3B para reconhecimento de manuscritos históricos árabes</news:title></news:news></url>
<url><loc>https://korshunov.ai/hi/article/19312-cerist-ne-arbii-aitihaasik-paanddulipiyon-kii-phcaan-ke-lie-qwen2-5-vl-3b-ko/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>hi</news:language></news:publication><news:publication_date>2026-08-18T16:15:16.544370+00:00</news:publication_date><news:title>CERIST ने अरबी ऐतिहासिक पांडुलिपियों की पहचान के लिए Qwen2.5-VL-3B को फाइन-ट्यून किया</news:title></news:news></url>
<url><loc>https://korshunov.ai/ja/article/19312-ceristkaarahiayu-noli-shi-de-xie-ben-noren-shi-yong-niqwen2-5-vl-3bwohuainchiyu/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ja</news:language></news:publication><news:publication_date>2026-08-18T16:15:16.544370+00:00</news:publication_date><news:title>CERISTがアラビア語の歴史的写本の認識用にQwen2.5-VL-3Bをファインチューニング</news:title></news:news></url>
<url><loc>https://korshunov.ai/ko/article/19312-cerist-arabeo-gojeon-sabon-insigeul-wihae-qwen2-5-vl-3b-paintyuning/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ko</news:language></news:publication><news:publication_date>2026-08-18T16:15:16.544370+00:00</news:publication_date><news:title>CERIST, 아랍어 고전 사본 인식을 위해 Qwen2.5-VL-3B 파인튜닝</news:title></news:news></url>
<url><loc>https://korshunov.ai/fr/article/19312-cerist-affine-le-modele-qwen2-5-vl-3b-pour-la-reconnaissance-de-manuscrits/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>fr</news:language></news:publication><news:publication_date>2026-08-18T16:15:16.544370+00:00</news:publication_date><news:title>CERIST affine le modèle Qwen2.5-VL-3B pour la reconnaissance de manuscrits historiques arabes</news:title></news:news></url>
<url><loc>https://korshunov.ai/id/article/19312-cerist-melakukan-fine-tuning-qwen2-5-vl-3b-untuk-pengenalan-naskah-bersejarah/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>id</news:language></news:publication><news:publication_date>2026-08-18T16:15:16.544370+00:00</news:publication_date><news:title>CERIST melakukan fine-tuning Qwen2.5-VL-3B untuk pengenalan naskah bersejarah Arab</news:title></news:news></url>
<url><loc>https://korshunov.ai/ar/article/19312-cerist-tdbt-nmwdhj-qwen2-5-vl-3b-n-tryq-ltkhsys-ldqyq-llt-rf-l-lmkhtwtt-ltrykhy/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ar</news:language></news:publication><news:publication_date>2026-08-18T16:15:16.544370+00:00</news:publication_date><news:title>CERIST تضبط نموذج Qwen2.5-VL-3B عن طريق التخصيص الدقيق للتعرف على المخطوطات التاريخية العربية</news:title></news:news></url>
<url><loc>https://korshunov.ai/zh-hans/article/19305-sentence-transformers-v6-tian-jia-multivectorencoder-yi-zhi-chi-wan-qi-jiao-hu/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>zh-cn</news:language></news:publication><news:publication_date>2026-08-18T15:13:45.581323+00:00</news:publication_date><news:title>Sentence Transformers v6 添加 MultiVectorEncoder 以支持晚期交互检索</news:title></news:news></url>
<url><loc>https://korshunov.ai/ko/article/19305-sentence-transformers-v6ga-hugi-sanghojagyong-geomsaegeul-wihae-cuga/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ko</news:language></news:publication><news:publication_date>2026-08-18T15:13:45.581323+00:00</news:publication_date><news:title>Sentence Transformers v6가 후기 상호작용 검색을 위해 MultiVectorEncoder 추가</news:title></news:news></url>
<url><loc>https://korshunov.ai/en/article/19305-sentence-transformers-v6-adds-multivectorencoder-for-late-interaction-retrieval/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>en</news:language></news:publication><news:publication_date>2026-08-18T15:13:45.581323+00:00</news:publication_date><news:title>Sentence Transformers v6 adds MultiVectorEncoder for late interaction retrieval</news:title></news:news></url>
<url><loc>https://korshunov.ai/ru/article/19305-sentence-transformers-v6-dobavliaet-multivectorencoder-dlia-pozdnego-pri-poiske/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ru</news:language></news:publication><news:publication_date>2026-08-18T15:13:45.581323+00:00</news:publication_date><news:title>Sentence Transformers v6 добавляет MultiVectorEncoder для позднего взаимодействия при поиске</news:title></news:news></url>
<url><loc>https://korshunov.ai/es/article/19305-sentence-transformers-v6-anade-multivectorencoder-para-recuperacion-de-tardia/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>es</news:language></news:publication><news:publication_date>2026-08-18T15:13:45.581323+00:00</news:publication_date><news:title>Sentence Transformers v6 añade MultiVectorEncoder para recuperación de interacción tardía</news:title></news:news></url>
<url><loc>https://korshunov.ai/pt-br/article/19305-sentence-transformers-v6-adiciona-multivectorencoder-para-recuperacao-de-tardia/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>pt</news:language></news:publication><news:publication_date>2026-08-18T15:13:45.581323+00:00</news:publication_date><news:title>Sentence Transformers v6 adiciona MultiVectorEncoder para recuperação de interação tardia</news:title></news:news></url>
<url><loc>https://korshunov.ai/hi/article/19305-sentence-transformers-v6-men-der-se-inttraikshn-rikvrii-ke-lie-joddaa-gyaa/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>hi</news:language></news:publication><news:publication_date>2026-08-18T15:13:45.581323+00:00</news:publication_date><news:title>Sentence Transformers v6 में देर से इंटरैक्शन रिकवरी के लिए MultiVectorEncoder जोड़ा गया</news:title></news:news></url>
<url><loc>https://korshunov.ai/ja/article/19305-sentence-transformers-v6-ka-late-interaction-jian-suo-yong-no-multivectorencoder/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ja</news:language></news:publication><news:publication_date>2026-08-18T15:13:45.581323+00:00</news:publication_date><news:title>Sentence Transformers v6 が Late Interaction 検索用の MultiVectorEncoder を追加</news:title></news:news></url>
<url><loc>https://korshunov.ai/fr/article/19305-sentence-transformers-v6-ajoute-multivectorencoder-pour-la-recuperation-par/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>fr</news:language></news:publication><news:publication_date>2026-08-18T15:13:45.581323+00:00</news:publication_date><news:title>Sentence Transformers v6 ajoute MultiVectorEncoder pour la récupération par interaction tardive</news:title></news:news></url>
<url><loc>https://korshunov.ai/id/article/19305-sentence-transformers-v6-menambahkan-multivectorencoder-untuk-pengambilan-akhir/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>id</news:language></news:publication><news:publication_date>2026-08-18T15:13:45.581323+00:00</news:publication_date><news:title>Sentence Transformers v6 menambahkan MultiVectorEncoder untuk pengambilan interaksi akhir</news:title></news:news></url>
<url><loc>https://korshunov.ai/ar/article/19305-sentence-transformers-v6-tdyf-multivectorencoder-llstrj-bltf-l-lmtkhr/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ar</news:language></news:publication><news:publication_date>2026-08-18T15:13:45.581323+00:00</news:publication_date><news:title>Sentence Transformers v6 تضيف MultiVectorEncoder للاسترجاع بالتفاعل المتأخر</news:title></news:news></url>
</urlset>