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<url><loc>https://korshunov.ai/en/article/19820-qwen3-8-27b-scores-29-30-on-aime-2026-with-fp8-xhigh-reasoning/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>en</news:language></news:publication><news:publication_date>2026-08-20T20:09:31.282770+00:00</news:publication_date><news:title>Qwen3.8-27B scores 29/30 on AIME 2026 with FP8 + xhigh reasoning</news:title></news:news></url>
<url><loc>https://korshunov.ai/ru/article/19820-qwen3-8-27b-nabiraet-29-30-na-aime-2026-s-fp8-vysokim-urovnem-rassuzhdenii/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ru</news:language></news:publication><news:publication_date>2026-08-20T20:09:31.282770+00:00</news:publication_date><news:title>Qwen3.8-27B набирает 29/30 на AIME 2026 с FP8 + высоким уровнем рассуждений</news:title></news:news></url>
<url><loc>https://korshunov.ai/es/article/19820-qwen3-8-27b-obtiene-29-30-en-aime-2026-con-fp8-razonamiento-xhigh/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>es</news:language></news:publication><news:publication_date>2026-08-20T20:09:31.282770+00:00</news:publication_date><news:title>Qwen3.8-27B obtiene 29/30 en AIME 2026 con FP8 + razonamiento xhigh</news:title></news:news></url>
<url><loc>https://korshunov.ai/zh-hans/article/19820-qwen3-8-27bzai-aime-2026shang-yi-fp8-xhightui-li-qu-de-29-30fen/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>zh-cn</news:language></news:publication><news:publication_date>2026-08-20T20:09:31.282770+00:00</news:publication_date><news:title>Qwen3.8-27B在AIME 2026上以FP8 + xhigh推理取得29/30分</news:title></news:news></url>
<url><loc>https://korshunov.ai/pt-br/article/19820-qwen3-8-27b-obtem-29-30-no-aime-2026-com-fp8-raciocinio-xhigh/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>pt</news:language></news:publication><news:publication_date>2026-08-20T20:09:31.282770+00:00</news:publication_date><news:title>Qwen3.8-27B obtém 29/30 no AIME 2026 com FP8 + raciocínio xhigh</news:title></news:news></url>
<url><loc>https://korshunov.ai/hi/article/19820-qwen3-8-27b-ne-fp8-ucc-trk-ke-saath-aime-2026-pr-29-30-ank-praapt-kie/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>hi</news:language></news:publication><news:publication_date>2026-08-20T20:09:31.282770+00:00</news:publication_date><news:title>Qwen3.8-27B ने FP8 + उच्च तर्क के साथ AIME 2026 पर 29/30 अंक प्राप्त किए</news:title></news:news></url>
<url><loc>https://korshunov.ai/ja/article/19820-qwen3-8-27bkaaime-2026tefp8-xhightui-lun-niyori29-30nosukoawoda-cheng/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ja</news:language></news:publication><news:publication_date>2026-08-20T20:09:31.282770+00:00</news:publication_date><news:title>Qwen3.8-27BがAIME 2026でFP8 + xhigh推論により29/30のスコアを達成</news:title></news:news></url>
<url><loc>https://korshunov.ai/ko/article/19820-qwen3-8-27b-aime-2026eseo-fp8-xhigh-curoneuro-29-30-jeomsu-girog/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ko</news:language></news:publication><news:publication_date>2026-08-20T20:09:31.282770+00:00</news:publication_date><news:title>Qwen3.8-27B, AIME 2026에서 FP8 + xhigh 추론으로 29/30 점수 기록</news:title></news:news></url>
<url><loc>https://korshunov.ai/fr/article/19820-qwen3-8-27b-obtient-29-30-a-aime-2026-avec-fp8-raisonnement-xhigh/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>fr</news:language></news:publication><news:publication_date>2026-08-20T20:09:31.282770+00:00</news:publication_date><news:title>Qwen3.8-27B obtient 29/30 à AIME 2026 avec FP8 + raisonnement xhigh</news:title></news:news></url>
<url><loc>https://korshunov.ai/id/article/19820-qwen3-8-27b-meraih-skor-29-30-pada-aime-2026-dengan-fp8-reasoning-xhigh/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>id</news:language></news:publication><news:publication_date>2026-08-20T20:09:31.282770+00:00</news:publication_date><news:title>Qwen3.8-27B meraih skor 29/30 pada AIME 2026 dengan FP8 + reasoning xhigh</news:title></news:news></url>
<url><loc>https://korshunov.ai/ar/article/19820-hsd-qwen3-8-27b-ntyj-29-30-fy-aime-2026-bstkhdm-fp8-jhd-stntjy-mrtf-jdan/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ar</news:language></news:publication><news:publication_date>2026-08-20T20:09:31.282770+00:00</news:publication_date><news:title>حصد Qwen3.8-27B نتيجة 29/30 في AIME 2026 باستخدام FP8 + جهد استنتاجي مرتفع جداً</news:title></news:news></url>
<url><loc>https://korshunov.ai/en/article/19811-liquid-ai-releases-dspark-draft-models-for-lfm2-5-to-accelerate-inference/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>en</news:language></news:publication><news:publication_date>2026-08-20T19:23:00.034835+00:00</news:publication_date><news:title>Liquid AI releases DSpark draft models for LFM2.5 to accelerate inference</news:title></news:news></url>
<url><loc>https://korshunov.ai/ru/article/19811-liquid-ai-vypustila-chernovye-modeli-dspark-dlia-lfm2-5-s-tseliu-uskoreniia/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ru</news:language></news:publication><news:publication_date>2026-08-20T19:23:00.034835+00:00</news:publication_date><news:title>Liquid AI выпустила черновые модели DSpark для LFM2.5 с целью ускорения вывода</news:title></news:news></url>
<url><loc>https://korshunov.ai/es/article/19811-liquid-ai-lanza-modelos-borrador-de-dspark-para-lfm2-5-con-el-fin-de-acelerar-la/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>es</news:language></news:publication><news:publication_date>2026-08-20T19:23:00.034835+00:00</news:publication_date><news:title>Liquid AI lanza modelos borrador de DSpark para LFM2.5 con el fin de acelerar la inferencia</news:title></news:news></url>
<url><loc>https://korshunov.ai/zh-hans/article/19811-liquid-ai-fa-bu-yong-yu-jia-su-tui-li-de-dspark-cao-gao-mo-xing-yi-zhi-chi-lfm2/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>zh-cn</news:language></news:publication><news:publication_date>2026-08-20T19:23:00.034835+00:00</news:publication_date><news:title>Liquid AI 发布用于加速推理的 DSpark 草稿模型以支持 LFM2.5</news:title></news:news></url>
<url><loc>https://korshunov.ai/pt-br/article/19811-liquid-ai-lanca-modelos-rascunho-dspark-para-lfm2-5-para-acelerar-a-inferencia/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>pt</news:language></news:publication><news:publication_date>2026-08-20T19:23:00.034835+00:00</news:publication_date><news:title>Liquid AI lança modelos rascunho DSpark para LFM2.5 para acelerar a inferência</news:title></news:news></url>
<url><loc>https://korshunov.ai/hi/article/19811-liquid-ai-ne-lfm2-5-ke-lie-dspark-ddraaphtt-monddl-jaarii-kie-taaki-inphrens-ko/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>hi</news:language></news:publication><news:publication_date>2026-08-20T19:23:00.034835+00:00</news:publication_date><news:title>Liquid AI ने LFM2.5 के लिए DSpark ड्राफ्ट मॉडल जारी किए ताकि इनफरेंस को तेज किया जा सके</news:title></news:news></url>
<url><loc>https://korshunov.ai/ja/article/19811-liquid-aikalfm2-5xiang-kenidsparktorahutomoteruworiri-sushi-tui-lun-wojia-su/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ja</news:language></news:publication><news:publication_date>2026-08-20T19:23:00.034835+00:00</news:publication_date><news:title>Liquid AIがLFM2.5向けにDSparkドラフトモデルをリリースし、推論を加速</news:title></news:news></url>
<url><loc>https://korshunov.ai/ko/article/19811-liquid-ai-lfm2-5yong-dspark-coan-model-culsiro-curon-gasoghwa/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ko</news:language></news:publication><news:publication_date>2026-08-20T19:23:00.034835+00:00</news:publication_date><news:title>Liquid AI, LFM2.5용 DSpark 초안 모델 출시로 추론 가속화</news:title></news:news></url>
<url><loc>https://korshunov.ai/fr/article/19811-liquid-ai-publie-les-modeles-brouilles-dspark-pour-lfm2-5-afin-d-accelerer-l/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>fr</news:language></news:publication><news:publication_date>2026-08-20T19:23:00.034835+00:00</news:publication_date><news:title>Liquid AI publie les modèles brouillés DSpark pour LFM2.5 afin d'accélérer l'inférence</news:title></news:news></url>
<url><loc>https://korshunov.ai/id/article/19811-liquid-ai-merilis-model-draf-dspark-untuk-lfm2-5-guna-mempercepat-inferensi/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>id</news:language></news:publication><news:publication_date>2026-08-20T19:23:00.034835+00:00</news:publication_date><news:title>Liquid AI merilis model draf DSpark untuk LFM2.5 guna mempercepat inferensi</news:title></news:news></url>
<url><loc>https://korshunov.ai/ar/article/19811-liquid-ai-ttlq-nmdhj-mswd-dspark-l-lfm2-5-ltsry-lstdll/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ar</news:language></news:publication><news:publication_date>2026-08-20T19:23:00.034835+00:00</news:publication_date><news:title>Liquid AI تطلق نماذج مسودة DSpark لـ LFM2.5 لتسريع الاستدلال</news:title></news:news></url>
<url><loc>https://korshunov.ai/en/article/19810-llama-cpp-b10517-adds-vulkan-fa-dequant-optimizations-and-fixes/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>en</news:language></news:publication><news:publication_date>2026-08-20T18:57:27.270213+00:00</news:publication_date><news:title>llama.cpp b10517 adds Vulkan FA dequant optimizations and fixes</news:title></news:news></url>
<url><loc>https://korshunov.ai/ko/article/19810-llama-cpp-b10517i-vulkan-fa-dikweontaijeu-coejeoghwa-mic-sujeong-cuga/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ko</news:language></news:publication><news:publication_date>2026-08-20T18:57:27.270213+00:00</news:publication_date><news:title>llama.cpp b10517이 Vulkan FA 디쿼ン타이즈 최적화 및 수정 추가</news:title></news:news></url>
<url><loc>https://korshunov.ai/ru/article/19810-llama-cpp-b10517-dobavliaet-optimizatsii-dequant-dlia-vulkan-fa-i-ispravleniia/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ru</news:language></news:publication><news:publication_date>2026-08-20T18:57:27.270213+00:00</news:publication_date><news:title>llama.cpp b10517 добавляет оптимизации деquant для Vulkan FA и исправления</news:title></news:news></url>
<url><loc>https://korshunov.ai/es/article/19810-llama-cpp-b10517-anade-optimizaciones-de-desquantizacion-fa-para-vulkan-y/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>es</news:language></news:publication><news:publication_date>2026-08-20T18:57:27.270213+00:00</news:publication_date><news:title>llama.cpp b10517 añade optimizaciones de desquantización FA para Vulkan y correcciones</news:title></news:news></url>
<url><loc>https://korshunov.ai/zh-hans/article/19810-llama-cpp-b10517-tian-jia-vulkan-fa-fan-liang-hua-you-hua-he-xiu-fu/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>zh-cn</news:language></news:publication><news:publication_date>2026-08-20T18:57:27.270213+00:00</news:publication_date><news:title>llama.cpp b10517 添加 Vulkan FA 反量化优化和修复</news:title></news:news></url>
<url><loc>https://korshunov.ai/pt-br/article/19810-llama-cpp-b10517-adiciona-otimizacoes-de-desquantizacao-fa-para-vulkan-e/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>pt</news:language></news:publication><news:publication_date>2026-08-20T18:57:27.270213+00:00</news:publication_date><news:title>llama.cpp b10517 adiciona otimizações de desquantização FA para Vulkan e correções</news:title></news:news></url>
<url><loc>https://korshunov.ai/hi/article/19810-llama-cpp-b10517-men-vulkan-fa-ddiikvaantt-onpttimaaijeshn-aur-phiks-jodde-ge/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>hi</news:language></news:publication><news:publication_date>2026-08-20T18:57:27.270213+00:00</news:publication_date><news:title>llama.cpp b10517 में Vulkan FA डीक्वांट ऑप्टिमाइजेशन और फिक्स जोड़े गए</news:title></news:news></url>
<url><loc>https://korshunov.ai/ja/article/19810-llama-cpp-b10517-ka-vulkan-fa-tuo-liang-zi-hua-nozui-shi-hua-toxiu-zheng-wozhui/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ja</news:language></news:publication><news:publication_date>2026-08-20T18:57:27.270213+00:00</news:publication_date><news:title>llama.cpp b10517 が Vulkan FA 脱量子化の最適化と修正を追加</news:title></news:news></url>
<url><loc>https://korshunov.ai/fr/article/19810-llama-cpp-b10517-ajoute-des-optimisations-de-dequantisation-fa-pour-vulkan-et/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>fr</news:language></news:publication><news:publication_date>2026-08-20T18:57:27.270213+00:00</news:publication_date><news:title>llama.cpp b10517 ajoute des optimisations de déquantisation FA pour Vulkan et des correctifs</news:title></news:news></url>
<url><loc>https://korshunov.ai/id/article/19810-llama-cpp-b10517-menambahkan-optimasi-dequantisasi-fa-untuk-vulkan-dan-perbaikan/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>id</news:language></news:publication><news:publication_date>2026-08-20T18:57:27.270213+00:00</news:publication_date><news:title>llama.cpp b10517 menambahkan optimasi dequantisasi FA untuk Vulkan dan perbaikan</news:title></news:news></url>
<url><loc>https://korshunov.ai/ar/article/19810-df-llama-cpp-b10517-lthsynt-fk-ltkmym-fa-l-vulkan-wslht/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ar</news:language></news:publication><news:publication_date>2026-08-20T18:57:27.270213+00:00</news:publication_date><news:title>إضافة llama.cpp b10517 لتحسينات فك التكميم FA لـ Vulkan وإصلاحات</news:title></news:news></url>
<url><loc>https://korshunov.ai/en/article/19809-liquid-ai-releases-lfm2-5-dspark-for-up-to-3-2x-faster-inference/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>en</news:language></news:publication><news:publication_date>2026-08-20T18:42:28.202007+00:00</news:publication_date><news:title>Liquid AI releases LFM2.5-DSpark for up to 3.2x faster inference</news:title></news:news></url>
<url><loc>https://korshunov.ai/ru/article/19809-liquid-ai-vypustila-lfm2-5-dspark-dlia-uskoreniia-inferensa-do-32-raza/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ru</news:language></news:publication><news:publication_date>2026-08-20T18:42:28.202007+00:00</news:publication_date><news:title>Liquid AI выпустила LFM2.5-DSpark для ускорения инференса до 3,2 раза</news:title></news:news></url>
<url><loc>https://korshunov.ai/es/article/19809-liquid-ai-lanza-lfm2-5-dspark-para-una-inferencia-hasta-32-veces-mas-rapida/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>es</news:language></news:publication><news:publication_date>2026-08-20T18:42:28.202007+00:00</news:publication_date><news:title>Liquid AI lanza LFM2.5-DSpark para una inferencia hasta 3,2 veces más rápida</news:title></news:news></url>
<url><loc>https://korshunov.ai/zh-hans/article/19809-liquid-ai-fa-bu-lfm2-5-dspark-tui-li-su-du-zui-gao-ti-sheng-3-2-bei/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>zh-cn</news:language></news:publication><news:publication_date>2026-08-20T18:42:28.202007+00:00</news:publication_date><news:title>Liquid AI 发布 LFM2.5-DSpark，推理速度最高提升 3.2 倍</news:title></news:news></url>
<url><loc>https://korshunov.ai/pt-br/article/19809-liquid-ai-lanca-lfm2-5-dspark-para-inferencia-ate-32x-mais-rapida/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>pt</news:language></news:publication><news:publication_date>2026-08-20T18:42:28.202007+00:00</news:publication_date><news:title>Liquid AI lança LFM2.5-DSpark para inferência até 3,2x mais rápida</news:title></news:news></url>
<url><loc>https://korshunov.ai/hi/article/19809-liquid-ai-ne-lfm2-5-dspark-jaarii-kiyaa-hai-jo-3-2x-tk-tej-inphrens-prdaan-krtaa/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>hi</news:language></news:publication><news:publication_date>2026-08-20T18:42:28.202007+00:00</news:publication_date><news:title>Liquid AI ने LFM2.5-DSpark जारी किया है जो 3.2x तक तेज़ इनफरेंस प्रदान करता है</news:title></news:news></url>
<url><loc>https://korshunov.ai/ja/article/19809-liquid-ai-zui-da-3-2bei-gao-su-natui-lun-woshi-xian-surulfm2-5-dsparkworiri-su/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ja</news:language></news:publication><news:publication_date>2026-08-20T18:42:28.202007+00:00</news:publication_date><news:title>Liquid AI、最大3.2倍高速な推論を実現するLFM2.5-DSparkをリリース</news:title></news:news></url>
<url><loc>https://korshunov.ai/ko/article/19809-liquid-ai-coedae-3-2bae-bbareun-curoneul-wihan-lfm2-5-dspark-culsi/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ko</news:language></news:publication><news:publication_date>2026-08-20T18:42:28.202007+00:00</news:publication_date><news:title>Liquid AI, 최대 3.2배 빠른 추론을 위한 LFM2.5-DSpark 출시</news:title></news:news></url>
<url><loc>https://korshunov.ai/fr/article/19809-liquid-ai-publie-lfm2-5-dspark-pour-une-inference-jusqu-a-32x-plus-rapide/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>fr</news:language></news:publication><news:publication_date>2026-08-20T18:42:28.202007+00:00</news:publication_date><news:title>Liquid AI publie LFM2.5-DSpark pour une inférence jusqu'à 3,2x plus rapide</news:title></news:news></url>
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<url><loc>https://korshunov.ai/ar/article/19809-liquid-ai-ttlq-lfm2-5-dspark-ltsry-lstdll-bnsb-tsl-l-3-2-mr/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ar</news:language></news:publication><news:publication_date>2026-08-20T18:42:28.202007+00:00</news:publication_date><news:title>Liquid AI تطلق LFM2.5-DSpark لتسريع الاستدلال بنسبة تصل إلى 3.2 مرة</news:title></news:news></url>
<url><loc>https://korshunov.ai/en/article/19804-meta-releases-muse-video-with-native-audio-stripe-acquires-openrouter/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>en</news:language></news:publication><news:publication_date>2026-08-20T18:19:11.134634+00:00</news:publication_date><news:title>Meta releases Muse Video with native audio; Stripe acquires OpenRouter</news:title></news:news></url>
<url><loc>https://korshunov.ai/ru/article/19804-meta-vypustila-muse-video-s-nativnym-audio-stripe-priobrela-openrouter/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ru</news:language></news:publication><news:publication_date>2026-08-20T18:19:11.134634+00:00</news:publication_date><news:title>Meta выпустила Muse Video с нативным аудио; Stripe приобрела OpenRouter</news:title></news:news></url>
<url><loc>https://korshunov.ai/es/article/19804-meta-lanza-muse-video-con-audio-nativo-stripe-adquiere-openrouter/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>es</news:language></news:publication><news:publication_date>2026-08-20T18:19:11.134634+00:00</news:publication_date><news:title>Meta lanza Muse Video con audio nativo; Stripe adquiere OpenRouter</news:title></news:news></url>
<url><loc>https://korshunov.ai/zh-hans/article/19804-metafa-bu-yuan-sheng-yin-pin-zhi-chi-de-muse-video-stripeshou-gou-openrouter/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>zh-cn</news:language></news:publication><news:publication_date>2026-08-20T18:19:11.134634+00:00</news:publication_date><news:title>Meta发布原生音频支持的Muse Video；Stripe收购OpenRouter</news:title></news:news></url>
<url><loc>https://korshunov.ai/pt-br/article/19804-meta-lanca-muse-video-com-audio-nativo-stripe-adquire-openrouter/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>pt</news:language></news:publication><news:publication_date>2026-08-20T18:19:11.134634+00:00</news:publication_date><news:title>Meta lança Muse Video com áudio nativo; Stripe adquire OpenRouter</news:title></news:news></url>
<url><loc>https://korshunov.ai/hi/article/19804-mettaa-ne-myuuj-viiddiyo-ko-nettiv-onddiyo-ke-saath-riliij-kiyaa-sttraaip-ne-ko/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>hi</news:language></news:publication><news:publication_date>2026-08-20T18:19:11.134634+00:00</news:publication_date><news:title>मेटा ने म्यूज़ वीडियो को नेटिव ऑडियो के साथ रिलीज़ किया; स्ट्राइप ने ओपनरूटर को अधिग्रहित किया</news:title></news:news></url>
<url><loc>https://korshunov.ai/ja/article/19804-metakamuse-videowoneiteihuyin-sheng-fu-kiteriri-su-stripekaopenrouterwomai-shou/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ja</news:language></news:publication><news:publication_date>2026-08-20T18:19:11.134634+00:00</news:publication_date><news:title>MetaがMuse Videoをネイティブ音声付きでリリース；StripeがOpenRouterを買収</news:title></news:news></url>
<url><loc>https://korshunov.ai/ko/article/19804-meta-neitibeu-odioreul-jiweonhaneun-muse-video-culsi-seuteuraipeuga-openrouter/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ko</news:language></news:publication><news:publication_date>2026-08-20T18:19:11.134634+00:00</news:publication_date><news:title>메타, 네이티브 오디오를 지원하는 Muse Video 출시; 스트라이프가 OpenRouter 인수</news:title></news:news></url>
<url><loc>https://korshunov.ai/fr/article/19804-meta-publie-muse-video-avec-audio-natif-stripe-acquiert-openrouter/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>fr</news:language></news:publication><news:publication_date>2026-08-20T18:19:11.134634+00:00</news:publication_date><news:title>Meta publie Muse Video avec audio natif ; Stripe acquiert OpenRouter</news:title></news:news></url>
<url><loc>https://korshunov.ai/id/article/19804-meta-merilis-muse-video-dengan-audio-asli-stripe-mengakuisisi-openrouter/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>id</news:language></news:publication><news:publication_date>2026-08-20T18:19:11.134634+00:00</news:publication_date><news:title>Meta merilis Muse Video dengan audio asli; Stripe mengakuisisi OpenRouter</news:title></news:news></url>
<url><loc>https://korshunov.ai/ar/article/19804-tlq-myt-lmwdyl-mywz-fydyw-m-swt-sly-stryb-tsthwdh-l-wbn-rwytr/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ar</news:language></news:publication><news:publication_date>2026-08-20T18:19:11.134634+00:00</news:publication_date><news:title>إطلاق ميتا لموديل ميوز فيديو مع صوت أصلي؛ سترايب تستحوذ على أوبن رويتر</news:title></news:news></url>
<url><loc>https://korshunov.ai/en/article/19807-glm-5-3-ties-fable-5-and-gpt-5-6-sol-on-slopcodebench/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>en</news:language></news:publication><news:publication_date>2026-08-20T17:55:38.631557+00:00</news:publication_date><news:title>GLM-5.3 ties Fable 5 and GPT-5.6 Sol on SlopCodeBench</news:title></news:news></url>
<url><loc>https://korshunov.ai/ru/article/19807-glm-5-3-delit-s-fable-5-i-gpt-5-6-sol-pervoe-mesto-na-slopcodebench/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ru</news:language></news:publication><news:publication_date>2026-08-20T17:55:38.631557+00:00</news:publication_date><news:title>GLM-5.3 делит с Fable 5 и GPT-5.6 Sol первое место на SlopCodeBench</news:title></news:news></url>
<url><loc>https://korshunov.ai/es/article/19807-glm-5-3-empata-con-fable-5-y-gpt-5-6-sol-en-slopcodebench/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>es</news:language></news:publication><news:publication_date>2026-08-20T17:55:38.631557+00:00</news:publication_date><news:title>GLM-5.3 empata con Fable 5 y GPT-5.6 Sol en SlopCodeBench</news:title></news:news></url>
<url><loc>https://korshunov.ai/zh-hans/article/19807-glm-5-3-zai-slopcodebench-shang-yu-fable-5-he-gpt-5-6-sol-bing-lie/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>zh-cn</news:language></news:publication><news:publication_date>2026-08-20T17:55:38.631557+00:00</news:publication_date><news:title>GLM-5.3 在 SlopCodeBench 上与 Fable 5 和 GPT-5.6 Sol 并列</news:title></news:news></url>
<url><loc>https://korshunov.ai/pt-br/article/19807-glm-5-3-empata-com-fable-5-e-gpt-5-6-sol-no-slopcodebench/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>pt</news:language></news:publication><news:publication_date>2026-08-20T17:55:38.631557+00:00</news:publication_date><news:title>GLM-5.3 empata com Fable 5 e GPT-5.6 Sol no SlopCodeBench</news:title></news:news></url>
<url><loc>https://korshunov.ai/hi/article/19807-glm-5-3-ne-slopcodebench-pr-fable-5-aur-gpt-5-6-sol-ke-saath-braabrii-kii/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>hi</news:language></news:publication><news:publication_date>2026-08-20T17:55:38.631557+00:00</news:publication_date><news:title>GLM-5.3 ने SlopCodeBench पर Fable 5 और GPT-5.6 Sol के साथ बराबरी की</news:title></news:news></url>
<url><loc>https://korshunov.ai/ja/article/19807-glm-5-3kaslopcodebenchtefable-5oyohigpt-5-6-soltobing-hu/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ja</news:language></news:publication><news:publication_date>2026-08-20T17:55:38.631557+00:00</news:publication_date><news:title>GLM-5.3がSlopCodeBenchでFable 5およびGPT-5.6 Solと並ぶ</news:title></news:news></url>
<url><loc>https://korshunov.ai/ko/article/19807-glm-5-3-slopcodebencheseo-fable-5-mic-gpt-5-6-solgwa-dongjeom/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ko</news:language></news:publication><news:publication_date>2026-08-20T17:55:38.631557+00:00</news:publication_date><news:title>GLM-5.3, SlopCodeBench에서 Fable 5 및 GPT-5.6 Sol과 동점</news:title></news:news></url>
<url><loc>https://korshunov.ai/fr/article/19807-glm-5-3-ex-aequo-avec-fable-5-et-gpt-5-6-sol-sur-slopcodebench/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>fr</news:language></news:publication><news:publication_date>2026-08-20T17:55:38.631557+00:00</news:publication_date><news:title>GLM-5.3 ex æquo avec Fable 5 et GPT-5.6 Sol sur SlopCodeBench</news:title></news:news></url>
<url><loc>https://korshunov.ai/id/article/19807-glm-5-3-seri-dengan-fable-5-dan-gpt-5-6-sol-di-slopcodebench/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>id</news:language></news:publication><news:publication_date>2026-08-20T17:55:38.631557+00:00</news:publication_date><news:title>GLM-5.3 Seri dengan Fable 5 dan GPT-5.6 Sol di SlopCodeBench</news:title></news:news></url>
<url><loc>https://korshunov.ai/ar/article/19807-glm-5-3-yt-dl-m-fable-5-w-gpt-5-6-sol-l-slopcodebench/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ar</news:language></news:publication><news:publication_date>2026-08-20T17:55:38.631557+00:00</news:publication_date><news:title>GLM-5.3 يتعادل مع Fable 5 و GPT-5.6 Sol على SlopCodeBench</news:title></news:news></url>
<url><loc>https://korshunov.ai/en/article/19801-microsoft-research-releases-skala-1-1-and-integrates-it-into-cp2k-psi4-fhi-aims/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>en</news:language></news:publication><news:publication_date>2026-08-20T17:41:08.009433+00:00</news:publication_date><news:title>Microsoft Research releases Skala-1.1 and integrates it into CP2K, Psi4, FHI-aims, ORCA, and VASP</news:title></news:news></url>
<url><loc>https://korshunov.ai/ru/article/19801-microsoft-research-vypustila-skala-1-1-i-integrirovala-ee-v-cp2k-psi4-fhi-aims-i/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ru</news:language></news:publication><news:publication_date>2026-08-20T17:41:08.009433+00:00</news:publication_date><news:title>Microsoft Research выпустила Skala-1.1 и интегрировала её в CP2K, Psi4, FHI-aims, ORCA и VASP</news:title></news:news></url>
<url><loc>https://korshunov.ai/es/article/19801-microsoft-research-lanza-skala-1-1-y-lo-integra-en-cp2k-psi4-fhi-aims-orca-y/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>es</news:language></news:publication><news:publication_date>2026-08-20T17:41:08.009433+00:00</news:publication_date><news:title>Microsoft Research lanza Skala-1.1 y lo integra en CP2K, Psi4, FHI-aims, ORCA y VASP</news:title></news:news></url>
<url><loc>https://korshunov.ai/zh-hans/article/19801-wei-ruan-yan-jiu-yuan-fa-bu-skala-1-1bing-jiang-qi-ji-cheng-zhi-cp2k-psi4-fhi/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>zh-cn</news:language></news:publication><news:publication_date>2026-08-20T17:41:08.009433+00:00</news:publication_date><news:title>微软研究院发布Skala-1.1并将其集成至CP2K、Psi4、FHI-aims、ORCA和VASP</news:title></news:news></url>
<url><loc>https://korshunov.ai/pt-br/article/19801-microsoft-research-lanca-skala-1-1-e-o-integra-ao-cp2k-psi4-fhi-aims-orca-e-vasp/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>pt</news:language></news:publication><news:publication_date>2026-08-20T17:41:08.009433+00:00</news:publication_date><news:title>Microsoft Research lança Skala-1.1 e o integra ao CP2K, Psi4, FHI-aims, ORCA e VASP</news:title></news:news></url>
<url><loc>https://korshunov.ai/hi/article/19801-maaikrosonphtt-risrc-ne-skaalaa-1-1-jaarii-kiyaa-aur-ise-cp2k-psi4-fhi-aims-orca/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>hi</news:language></news:publication><news:publication_date>2026-08-20T17:41:08.009433+00:00</news:publication_date><news:title>माइक्रोसॉफ्ट रिसर्च ने स्काला-1.1 जारी किया और इसे CP2K, Psi4, FHI-aims, ORCA, और VASP में एकीकृत किया</news:title></news:news></url>
<url><loc>https://korshunov.ai/ja/article/19801-microsoft-researchkaskala-1-1woriri-sushi-cp2k-psi4-fhi-aims-orca-vaspnitong-he/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ja</news:language></news:publication><news:publication_date>2026-08-20T17:41:08.009433+00:00</news:publication_date><news:title>Microsoft ResearchがSkala-1.1をリリースし、CP2K、Psi4、FHI-aims、ORCA、VASPに統合</news:title></news:news></url>
<url><loc>https://korshunov.ai/ko/article/19801-microsoft-research-skala-1-1-culsi-mic-cp2k-psi4-fhi-aims-orca-vasp-tonghab/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ko</news:language></news:publication><news:publication_date>2026-08-20T17:41:08.009433+00:00</news:publication_date><news:title>Microsoft Research, Skala-1.1 출시 및 CP2K, Psi4, FHI-aims, ORCA, VASP 통합</news:title></news:news></url>
<url><loc>https://korshunov.ai/fr/article/19801-microsoft-research-publie-skala-1-1-et-l-integre-dans-cp2k-psi4-fhi-aims-orca-et/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>fr</news:language></news:publication><news:publication_date>2026-08-20T17:41:08.009433+00:00</news:publication_date><news:title>Microsoft Research publie Skala-1.1 et l'intègre dans CP2K, Psi4, FHI-aims, ORCA et VASP</news:title></news:news></url>
<url><loc>https://korshunov.ai/id/article/19801-microsoft-research-merilis-skala-1-1-dan-mengintegrasikannya-ke-cp2k-psi4-fhi/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>id</news:language></news:publication><news:publication_date>2026-08-20T17:41:08.009433+00:00</news:publication_date><news:title>Microsoft Research merilis Skala-1.1 dan mengintegrasikannya ke CP2K, Psi4, FHI-aims, ORCA, dan VASP</news:title></news:news></url>
<url><loc>https://korshunov.ai/ar/article/19801-bhth-mykrwswft-ttlq-skala-1-1-wtdmjh-fy-cp2k-wpsi4-wfhi-aims-worca-wvasp/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ar</news:language></news:publication><news:publication_date>2026-08-20T17:41:08.009433+00:00</news:publication_date><news:title>أبحاث مايكروسوفت تطلق Skala-1.1 وتدمجه في CP2K وPsi4 وFHI-aims وORCA وVASP</news:title></news:news></url>
<url><loc>https://korshunov.ai/en/article/19791-mistral-releases-agentic-search-for-accurate-efficient-ai-retrieval/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>en</news:language></news:publication><news:publication_date>2026-08-20T14:37:57.753488+00:00</news:publication_date><news:title>Mistral releases Agentic Search for accurate, efficient AI retrieval</news:title></news:news></url>
<url><loc>https://korshunov.ai/ru/article/19791-mistral-vypustila-agentic-search-dlia-tochnogo-i-effektivnogo-poiska-ii/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ru</news:language></news:publication><news:publication_date>2026-08-20T14:37:57.753488+00:00</news:publication_date><news:title>Mistral выпустила Agentic Search для точного и эффективного поиска ИИ</news:title></news:news></url>
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<url><loc>https://korshunov.ai/zh-hans/article/19791-mistral-fa-bu-agentic-search-shi-xian-zhun-que-gao-xiao-de-ai-jian-suo/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>zh-cn</news:language></news:publication><news:publication_date>2026-08-20T14:37:57.753488+00:00</news:publication_date><news:title>Mistral 发布 Agentic Search，实现准确高效的 AI 检索</news:title></news:news></url>
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<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>
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<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>
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<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>
<url><loc>https://korshunov.ai/fr/article/19765-phillip-linstrum-presente-project-shadow-une-architecture-de-gouvernance-de-l-ia/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>fr</news:language></news:publication><news:publication_date>2026-08-20T12:04:06.270310+00:00</news:publication_date><news:title>Phillip Linstrum présente Project Shadow, une architecture de gouvernance de l'IA fondée sur des systèmes de qualité réglementés</news:title></news:news></url>
<url><loc>https://korshunov.ai/id/article/19765-phillip-linstrum-memperkenalkan-project-shadow-sebuah-arsitektur-tata-kelola-ai/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>id</news:language></news:publication><news:publication_date>2026-08-20T12:04:06.270310+00:00</news:publication_date><news:title>Phillip Linstrum memperkenalkan Project Shadow, sebuah arsitektur tata kelola AI yang didasarkan pada sistem kualitas terregulasi</news:title></news:news></url>
<url><loc>https://korshunov.ai/ar/article/19765-fylyb-lynstrwm-yqdm-mshrw-shdw-bny-hwkm-dhk-stn-y-tstnd-l-nzm-jwd-mnzm/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ar</news:language></news:publication><news:publication_date>2026-08-20T12:04:06.270310+00:00</news:publication_date><news:title>فيليب لينستروم يقدم مشروع شادو، بنية حوكمة ذكاء اصطناعي تستند إلى أنظمة جودة منظمة</news:title></news:news></url>
<url><loc>https://korshunov.ai/en/article/19764-discussion-on-parsewave-and-quality-over-scale-in-post-training-data/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>en</news:language></news:publication><news:publication_date>2026-08-20T11:38:10.960252+00:00</news:publication_date><news:title>Discussion on Parsewave and quality over scale in post-training data</news:title></news:news></url>
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<url><loc>https://korshunov.ai/pt-br/article/19764-discussao-sobre-parsewave-e-qualidade-em-vez-de-escala-nos-dados-de-pos/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>pt</news:language></news:publication><news:publication_date>2026-08-20T11:38:10.960252+00:00</news:publication_date><news:title>Discussão sobre Parsewave e qualidade em vez de escala nos dados de pós-treinamento</news:title></news:news></url>
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<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/zh-hans/article/19763-ce-liang-jie-guo-biao-ming-ying-zhong-xin-shen-shi-lora-mu-biao-mo-kuai-de-q-v/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>zh-cn</news:language></news:publication><news:publication_date>2026-08-20T11:29:46.158873+00:00</news:publication_date><news:title>测量结果表明应重新审视 LoRA 目标模块的 q_proj/v_proj 默认设置</news:title></news:news></url>
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<url><loc>https://korshunov.ai/hi/article/19763-maapn-loraa-ttaargett-monddyuul-ke-lie-q-proj-v-proj-ddiphonltt-ko-punrvicaar/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>hi</news:language></news:publication><news:publication_date>2026-08-20T11:29:46.158873+00:00</news:publication_date><news:title>मापन लोरा टार्गेट मॉड्यूल के लिए q_proj/v_proj डिफ़ॉल्ट को पुनर्विचार करने का सुझाव देते हैं</news:title></news:news></url>
<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>
<url><loc>https://korshunov.ai/fr/article/19763-les-mesures-suggerent-de-revoir-la-valeur-par-defaut-de-q-proj-v-proj-pour-les/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>fr</news:language></news:publication><news:publication_date>2026-08-20T11:29:46.158873+00:00</news:publication_date><news:title>Les mesures suggèrent de revoir la valeur par défaut de q_proj/v_proj pour les modules cibles de LoRA</news:title></news:news></url>
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<url><loc>https://korshunov.ai/zh-hans/article/19758-cartesiafa-bu-sonic-3-6-ling-pao-artificial-analysisyu-yin-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>2026-08-20T10:29:12.086506+00:00</news:publication_date><news:title>Cartesia发布Sonic-3.6，领跑Artificial Analysis语音排行榜</news:title></news:news></url>
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<url><loc>https://korshunov.ai/hi/article/19758-cartesia-ne-sonic-3-6-jaarii-kiyaa-jo-artificial-analysis-ke-vonys-liiddrbordd/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>hi</news:language></news:publication><news:publication_date>2026-08-20T10:29:12.086506+00:00</news:publication_date><news:title>Cartesia ने Sonic-3.6 जारी किया, जो Artificial Analysis के वॉयस लीडरबोर्ड में शीर्ष पर है</news:title></news:news></url>
<url><loc>https://korshunov.ai/ja/article/19758-cartesiakasonic-3-6woriri-su-artificial-analysisnoyin-sheng-ri-ta-ho-toteshou-de/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ja</news:language></news:publication><news:publication_date>2026-08-20T10:29:12.086506+00:00</news:publication_date><news:title>CartesiaがSonic-3.6をリリース、Artificial Analysisの音声リーダーボードで首位を獲得</news:title></news:news></url>
<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>
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<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>
<url><loc>https://korshunov.ai/id/article/19744-symphony-mengoordinasikan-tensor-jarang-dan-padat-dengan-pemrosesan-heterogen/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>id</news:language></news:publication><news:publication_date>2026-08-20T06:07:28.226694+00:00</news:publication_date><news:title>Symphony mengoordinasikan tensor jarang dan padat dengan pemrosesan heterogen hierarkis</news:title></news:news></url>
<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/ru/article/19739-github-copilot-v1-15-17-dobavliaet-deklarativnye-dialogovye-potoki-i-ispravliaet/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ru</news:language></news:publication><news:publication_date>2026-08-20T05:01:39.566771+00:00</news:publication_date><news:title>GitHub Copilot v1.15.17 добавляет декларативные диалоговые потоки и исправляет ошибки инструментов</news:title></news:news></url>
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<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>
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<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>
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<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>
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<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>
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