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<url><loc>https://korshunov.ai/en/article/18228-vita-clinical-rag-matches-or-outperforms-frontier-llms-on-healthbench/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>en</news:language></news:publication><news:publication_date>2026-08-13T05:35:02.604353+00:00</news:publication_date><news:title>VITA clinical RAG matches or outperforms frontier LLMs on HealthBench</news:title></news:news></url>
<url><loc>https://korshunov.ai/ru/article/18228-vita-klinicheskii-rag-sootvetstvuet-ili-prevoskhodit-peredovye-llm-v-healthbench/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ru</news:language></news:publication><news:publication_date>2026-08-13T05:35:02.604353+00:00</news:publication_date><news:title>VITA клинический RAG соответствует или превосходит передовые LLM в HealthBench</news:title></news:news></url>
<url><loc>https://korshunov.ai/es/article/18228-vita-clinico-rag-iguala-o-supera-a-los-llm-de-vanguardia-en-healthbench/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>es</news:language></news:publication><news:publication_date>2026-08-13T05:35:02.604353+00:00</news:publication_date><news:title>VITA clínico RAG iguala o supera a los LLM de vanguardia en HealthBench</news:title></news:news></url>
<url><loc>https://korshunov.ai/zh-hans/article/18228-vita-lin-chuang-rag-zai-healthbench-shang-pi-pei-huo-chao-yue-qian-yan-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>2026-08-13T05:35:02.604353+00:00</news:publication_date><news:title>VITA 临床 RAG 在 HealthBench 上匹配或超越前沿大语言模型</news:title></news:news></url>
<url><loc>https://korshunov.ai/pt-br/article/18228-rag-clinico-vita-iguala-ou-supera-llms-de-ponta-no-healthbench/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>pt</news:language></news:publication><news:publication_date>2026-08-13T05:35:02.604353+00:00</news:publication_date><news:title>RAG clínico VITA iguala ou supera LLMs de ponta no HealthBench</news:title></news:news></url>
<url><loc>https://korshunov.ai/hi/article/18228-vita-klinikl-rag-healthbench-pr-phrnttiyr-llms-ke-braabr-yaa-behtr-prdrshn-krtaa/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>hi</news:language></news:publication><news:publication_date>2026-08-13T05:35:02.604353+00:00</news:publication_date><news:title>VITA क्लिनिकल RAG HealthBench पर फ्रंटियर LLMs के बराबर या बेहतर प्रदर्शन करता है</news:title></news:news></url>
<url><loc>https://korshunov.ai/ja/article/18228-vitanolin-chuang-yong-raghahealthbenchnioitezui-xian-duan-llmtotong-deng-shang/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ja</news:language></news:publication><news:publication_date>2026-08-13T05:35:02.604353+00:00</news:publication_date><news:title>VITAの臨床用RAGはHealthBenchにおいて最先端LLMと同等かそれ以上の性能を示す</news:title></news:news></url>
<url><loc>https://korshunov.ai/ko/article/18228-vita-imsang-ragneun-healthbencheseo-coeceomdan-llmgwa-dongdeunghageona-ireul/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ko</news:language></news:publication><news:publication_date>2026-08-13T05:35:02.604353+00:00</news:publication_date><news:title>VITA 임상 RAG는 HealthBench에서 최첨단 LLM과 동등하거나 이를 능가</news:title></news:news></url>
<url><loc>https://korshunov.ai/fr/article/18228-le-rag-clinique-vita-egale-ou-surpasse-les-grands-modeles-de-langage-de-pointe/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>fr</news:language></news:publication><news:publication_date>2026-08-13T05:35:02.604353+00:00</news:publication_date><news:title>Le RAG clinique VITA égale ou surpasse les grands modèles de langage de pointe sur HealthBench</news:title></news:news></url>
<url><loc>https://korshunov.ai/id/article/18228-rag-klinis-vita-menyamai-atau-mengungguli-llm-terdepan-pada-healthbench/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>id</news:language></news:publication><news:publication_date>2026-08-13T05:35:02.604353+00:00</news:publication_date><news:title>RAG klinis VITA menyamai atau mengungguli LLM terdepan pada HealthBench</news:title></news:news></url>
<url><loc>https://korshunov.ai/ar/article/18228-yttbq-vita-lsryry-lm-zz-blstrj-w-ytfwq-l-nmdhj-llgt-lkbyr-lmtqdm-fy-healthbench/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ar</news:language></news:publication><news:publication_date>2026-08-13T05:35:02.604353+00:00</news:publication_date><news:title>يتطابق VITA السريري المعزز بالاسترجاع أو يتفوق على نماذج اللغات الكبيرة المتقدمة في HealthBench</news:title></news:news></url>
<url><loc>https://korshunov.ai/en/article/18096-xai-releases-grok-4-6-alibaba-drops-qwen3-8-max-deepseek-v4-pro-ga/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>en</news:language></news:publication><news:publication_date>2026-08-13T04:34:55.913572+00:00</news:publication_date><news:title>xAI releases Grok 4.6, Alibaba drops Qwen3.8-Max, DeepSeek V4 Pro GA</news:title></news:news></url>
<url><loc>https://korshunov.ai/ru/article/18096-xai-vypustila-grok-4-6-alibaba-predstavila-qwen3-8-max-deepseek-v4-pro-stala/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ru</news:language></news:publication><news:publication_date>2026-08-13T04:34:55.913572+00:00</news:publication_date><news:title>xAI выпустила Grok 4.6, Alibaba представила Qwen3.8-Max, DeepSeek V4 Pro стала общедоступной</news:title></news:news></url>
<url><loc>https://korshunov.ai/es/article/18096-xai-lanza-grok-4-6-alibaba-suelta-qwen3-8-max-deepseek-v4-pro-ga/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>es</news:language></news:publication><news:publication_date>2026-08-13T04:34:55.913572+00:00</news:publication_date><news:title>xAI lanza Grok 4.6, Alibaba suelta Qwen3.8-Max, DeepSeek V4 Pro GA</news:title></news:news></url>
<url><loc>https://korshunov.ai/zh-hans/article/18096-xaifa-bu-grok-4-6-a-li-ba-ba-tui-chu-qwen3-8-max-deepseek-v4-prozheng-shi-ga/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>zh-cn</news:language></news:publication><news:publication_date>2026-08-13T04:34:55.913572+00:00</news:publication_date><news:title>xAI发布Grok 4.6，阿里巴巴推出Qwen3.8-Max，DeepSeek V4 Pro正式GA</news:title></news:news></url>
<url><loc>https://korshunov.ai/pt-br/article/18096-xai-lanca-grok-4-6-alibaba-lanca-qwen3-8-max-deepseek-v4-pro-ga/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>pt</news:language></news:publication><news:publication_date>2026-08-13T04:34:55.913572+00:00</news:publication_date><news:title>xAI lança Grok 4.6, Alibaba lança Qwen3.8-Max, DeepSeek V4 Pro GA</news:title></news:news></url>
<url><loc>https://korshunov.ai/hi/article/18096-xai-ne-grok-4-6-jaarii-kiyaa-alibaba-ne-qwen3-8-max-choddaa-deepseek-v4-pro-ga/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>hi</news:language></news:publication><news:publication_date>2026-08-13T04:34:55.913572+00:00</news:publication_date><news:title>xAI ने Grok 4.6 जारी किया, Alibaba ने Qwen3.8-Max छोड़ा, DeepSeek V4 Pro GA</news:title></news:news></url>
<url><loc>https://korshunov.ai/ja/article/18096-xaikagrok-4-6woriri-su-alibabakaqwen3-8-maxwogong-kai-deepseek-v4-prokagahe/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ja</news:language></news:publication><news:publication_date>2026-08-13T04:34:55.913572+00:00</news:publication_date><news:title>xAIがGrok 4.6をリリース、AlibabaがQwen3.8-Maxを公開、DeepSeek V4 ProがGAへ</news:title></news:news></url>
<url><loc>https://korshunov.ai/ko/article/18096-xaiga-grok-4-6-culsi-alribabaga-qwen3-8-max-gonggae-deepseek-v4-pro-ga-balpyo/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ko</news:language></news:publication><news:publication_date>2026-08-13T04:34:55.913572+00:00</news:publication_date><news:title>xAI가 Grok 4.6 출시, 알리바바가 Qwen3.8-Max 공개, DeepSeek V4 Pro GA 발표</news:title></news:news></url>
<url><loc>https://korshunov.ai/fr/article/18096-xai-publie-grok-4-6-alibaba-lance-qwen3-8-max-deepseek-v4-pro-en-ga/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>fr</news:language></news:publication><news:publication_date>2026-08-13T04:34:55.913572+00:00</news:publication_date><news:title>xAI publie Grok 4.6, Alibaba lance Qwen3.8-Max, DeepSeek V4 Pro en GA</news:title></news:news></url>
<url><loc>https://korshunov.ai/id/article/18096-xai-merilis-grok-4-6-alibaba-melepas-qwen3-8-max-deepseek-v4-pro-ga/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>id</news:language></news:publication><news:publication_date>2026-08-13T04:34:55.913572+00:00</news:publication_date><news:title>xAI merilis Grok 4.6, Alibaba melepas Qwen3.8-Max, DeepSeek V4 Pro GA</news:title></news:news></url>
<url><loc>https://korshunov.ai/ar/article/18096-xai-ttlq-grok-4-6-wlyb-ttrh-qwen3-8-max-wdeepseek-v4-pro-mth-mwmyan/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ar</news:language></news:publication><news:publication_date>2026-08-13T04:34:55.913572+00:00</news:publication_date><news:title>xAI تطلق Grok 4.6، وأليبا تطرح Qwen3.8-Max، وDeepSeek V4 Pro متاحة عموميًا</news:title></news:news></url>
<url><loc>https://korshunov.ai/en/article/18157-corpus-specific-vita-rag-matches-or-beats-frontier-llms-on-healthbench/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>en</news:language></news:publication><news:publication_date>2026-08-13T03:17:03.269508+00:00</news:publication_date><news:title>Corpus-specific VITA RAG matches or beats frontier LLMs on HealthBench</news:title></news:news></url>
<url><loc>https://korshunov.ai/ru/article/18157-spetsializirovannaia-vita-rag-sootvetstvuet-ili-prevoskhodit-peredovye-llm-v/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ru</news:language></news:publication><news:publication_date>2026-08-13T03:17:03.269508+00:00</news:publication_date><news:title>Специализированная VITA RAG соответствует или превосходит передовые LLM в HealthBench</news:title></news:news></url>
<url><loc>https://korshunov.ai/es/article/18157-vita-especifico-del-corpus-iguala-o-supera-a-los-llm-de-vanguardia-en/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>es</news:language></news:publication><news:publication_date>2026-08-13T03:17:03.269508+00:00</news:publication_date><news:title>VITA específico del corpus iguala o supera a los LLM de vanguardia en HealthBench</news:title></news:news></url>
<url><loc>https://korshunov.ai/zh-hans/article/18157-zhen-dui-te-ding-yu-liao-de-vita-ragzai-healthbenchshang-pi-pei-huo-chao-yue-yan/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>zh-cn</news:language></news:publication><news:publication_date>2026-08-13T03:17:03.269508+00:00</news:publication_date><news:title>针对特定语料的VITA RAG在HealthBench上匹配或超越前沿LLM</news:title></news:news></url>
<url><loc>https://korshunov.ai/pt-br/article/18157-vita-rag-especifico-do-corpus-iguala-ou-supera-llms-de-ponta-no-healthbench/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>pt</news:language></news:publication><news:publication_date>2026-08-13T03:17:03.269508+00:00</news:publication_date><news:title>VITA RAG específico do corpus iguala ou supera LLMs de ponta no HealthBench</news:title></news:news></url>
<url><loc>https://korshunov.ai/hi/article/18157-healthbench-pr-corpus-vishisstt-vita-rag-phrnttiyr-llms-ke-braabr-yaa-behtr/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>hi</news:language></news:publication><news:publication_date>2026-08-13T03:17:03.269508+00:00</news:publication_date><news:title>HealthBench पर Corpus-विशिष्ट VITA RAG फ्रंटियर LLMs के बराबर या बेहतर</news:title></news:news></url>
<url><loc>https://korshunov.ai/ja/article/18157-corpusgu-you-novita-raghahealthbenchtezui-xian-duan-llmnipi-di-matahashang-hui/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ja</news:language></news:publication><news:publication_date>2026-08-13T03:17:03.269508+00:00</news:publication_date><news:title>Corpus固有のVITA RAGはHealthBenchで最先端LLMに匹敵または上回る</news:title></news:news></url>
<url><loc>https://korshunov.ai/ko/article/18157-corpus-teughwa-vita-ragga-healthbencheseo-coeceomdan-llmeul-cugyeoghageona/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ko</news:language></news:publication><news:publication_date>2026-08-13T03:17:03.269508+00:00</news:publication_date><news:title>Corpus 특화 VITA RAG가 HealthBench에서 최첨단 LLM을 추격하거나 능가</news:title></news:news></url>
<url><loc>https://korshunov.ai/fr/article/18157-le-vita-rag-specifique-au-corpus-egale-ou-bat-les-llm-de-pointe-sur-healthbench/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>fr</news:language></news:publication><news:publication_date>2026-08-13T03:17:03.269508+00:00</news:publication_date><news:title>Le VITA RAG spécifique au corpus égale ou bat les LLM de pointe sur HealthBench</news:title></news:news></url>
<url><loc>https://korshunov.ai/id/article/18157-vita-rag-khusus-korpus-cocok-atau-mengungguli-llm-mutakhir-di-healthbench/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>id</news:language></news:publication><news:publication_date>2026-08-13T03:17:03.269508+00:00</news:publication_date><news:title>VITA RAG khusus korpus cocok atau mengungguli LLM mutakhir di HealthBench</news:title></news:news></url>
<url><loc>https://korshunov.ai/ar/article/18157-yttbq-vita-lkhs-bmjmw-lbynt-w-ytfwq-l-nmdhj-llgt-lkbyr-lmtqdm-fy-healthbench/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ar</news:language></news:publication><news:publication_date>2026-08-13T03:17:03.269508+00:00</news:publication_date><news:title>يتطابق VITA الخاص بمجموعة البيانات أو يتفوق على نماذج اللغات الكبيرة المتقدمة في HealthBench</news:title></news:news></url>
<url><loc>https://korshunov.ai/zh-hans/article/18112-vitalin-chuang-ragxi-tong-zai-healthbenchshang-chi-ping-huo-chao-yue-qian-yan/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>zh-cn</news:language></news:publication><news:publication_date>2026-08-13T02:48:40.496885+00:00</news:publication_date><news:title>VITA临床RAG系统在HealthBench上持平或超越前沿LLM</news:title></news:news></url>
<url><loc>https://korshunov.ai/pt-br/article/18112-sistema-rag-clinico-vita-iguala-ou-supera-llms-de-ponta-no-healthbench/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>pt</news:language></news:publication><news:publication_date>2026-08-13T02:48:40.496885+00:00</news:publication_date><news:title>Sistema RAG clínico VITA iguala ou supera LLMs de ponta no HealthBench</news:title></news:news></url>
<url><loc>https://korshunov.ai/hi/article/18112-healthbench-pr-vita-klinikl-rag-sisttm-phrnttiyr-llms-ke-braabr-yaa-behtr-hai/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>hi</news:language></news:publication><news:publication_date>2026-08-13T02:48:40.496885+00:00</news:publication_date><news:title>HealthBench पर VITA क्लिनिकल RAG सिस्टम फ्रंटियर LLMs के बराबर या बेहतर है</news:title></news:news></url>
<url><loc>https://korshunov.ai/ja/article/18112-vitalin-chuang-ragshisutemuhahealthbenchtezui-xian-duan-llmtotong-deng-shang/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ja</news:language></news:publication><news:publication_date>2026-08-13T02:48:40.496885+00:00</news:publication_date><news:title>VITA臨床RAGシステムはHealthBenchで最先端LLMと同等またはそれ以上の性能</news:title></news:news></url>
<url><loc>https://korshunov.ai/ko/article/18112-vita-imsang-rag-siseutemi-healthbencheseo-coejeonbang-llmgwa-dongdeunghageona/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ko</news:language></news:publication><news:publication_date>2026-08-13T02:48:40.496885+00:00</news:publication_date><news:title>VITA 임상 RAG 시스템이 HealthBench에서 최전방 LLM과 동등하거나 우수함</news:title></news:news></url>
<url><loc>https://korshunov.ai/fr/article/18112-le-systeme-rag-clinique-vita-egale-ou-surpasse-les-llm-de-pointe-sur-healthbench/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>fr</news:language></news:publication><news:publication_date>2026-08-13T02:48:40.496885+00:00</news:publication_date><news:title>Le système RAG clinique VITA égale ou surpasse les LLM de pointe sur HealthBench</news:title></news:news></url>
<url><loc>https://korshunov.ai/id/article/18112-sistem-rag-klinis-vita-menyamai-atau-mengungguli-llm-terdepan-di-healthbench/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>id</news:language></news:publication><news:publication_date>2026-08-13T02:48:40.496885+00:00</news:publication_date><news:title>Sistem RAG klinis VITA menyamai atau mengungguli LLM terdepan di HealthBench</news:title></news:news></url>
<url><loc>https://korshunov.ai/ar/article/18112-nzm-vita-llrag-lsryry-yswy-w-ytfwq-l-nmdhj-llm-lmtqdm-fy-healthbench/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ar</news:language></news:publication><news:publication_date>2026-08-13T02:48:40.496885+00:00</news:publication_date><news:title>نظام VITA للرAG السريري يساوي أو يتفوق على نماذج LLM المتقدمة في HealthBench</news:title></news:news></url>
<url><loc>https://korshunov.ai/en/article/18112-vita-clinical-rag-system-matches-or-outperforms-frontier-llms-on-healthbench/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>en</news:language></news:publication><news:publication_date>2026-08-13T02:48:40.496885+00:00</news:publication_date><news:title>VITA clinical RAG system matches or outperforms frontier LLMs on HealthBench</news:title></news:news></url>
<url><loc>https://korshunov.ai/ru/article/18112-klinicheskaia-rag-sistema-vita-sootvetstvuet-ili-prevoskhodit-peredovye-llm-v/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ru</news:language></news:publication><news:publication_date>2026-08-13T02:48:40.496885+00:00</news:publication_date><news:title>Клиническая RAG-система VITA соответствует или превосходит передовые LLM в HealthBench</news:title></news:news></url>
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<url><loc>https://korshunov.ai/pt-br/article/18037-alibaba-libera-pesos-abertos-do-qwen3-8-2-4t-a95b-para-nvidia-gb300-nvl72/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>pt</news:language></news:publication><news:publication_date>2026-08-12T18:51:25.219642+00:00</news:publication_date><news:title>Alibaba libera pesos abertos do Qwen3.8-2.4T-A95B para NVIDIA GB300 NVL72</news:title></news:news></url>
<url><loc>https://korshunov.ai/ar/article/18037-lybb-ttlq-lwzn-lmftwh-l-qwen3-8-2-4t-a95b-ljhz-nvidia-gb300-nvl72/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ar</news:language></news:publication><news:publication_date>2026-08-12T18:51:25.219642+00:00</news:publication_date><news:title>أليبابا تطلق الأوزان المفتوحة لـ Qwen3.8-2.4T-A95B لجهاز NVIDIA GB300 NVL72</news:title></news:news></url>
<url><loc>https://korshunov.ai/hi/article/18037-alibaba-ne-nvidia-gb300-nvl72-ke-lie-qwen3-8-2-4t-a95b-opn-vetts-jaarii-kie/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>hi</news:language></news:publication><news:publication_date>2026-08-12T18:51:25.219642+00:00</news:publication_date><news:title>अलibaba ने NVIDIA GB300 NVL72 के लिए Qwen3.8-2.4T-A95B ओपन वेट्स जारी किए</news:title></news:news></url>
<url><loc>https://korshunov.ai/ja/article/18037-arihaha-nvidia-gb300-nvl72xiang-keqwen3-8-2-4t-a95bnoo-hunueitoworiri-su/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ja</news:language></news:publication><news:publication_date>2026-08-12T18:51:25.219642+00:00</news:publication_date><news:title>アリババ、NVIDIA GB300 NVL72向けQwen3.8-2.4T-A95Bのオープンウェイトをリリース</news:title></news:news></url>
<url><loc>https://korshunov.ai/ko/article/18037-alribaba-nvidia-gb300-nvl72yong-qwen3-8-2-4t-a95b-opeun-gajungci-culsi/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ko</news:language></news:publication><news:publication_date>2026-08-12T18:51:25.219642+00:00</news:publication_date><news:title>알리바바, NVIDIA GB300 NVL72용 Qwen3.8-2.4T-A95B 오픈 가중치 출시</news:title></news:news></url>
<url><loc>https://korshunov.ai/fr/article/18037-alibaba-publie-les-poids-ouverts-de-qwen3-8-2-4t-a95b-pour-nvidia-gb300-nvl72/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>fr</news:language></news:publication><news:publication_date>2026-08-12T18:51:25.219642+00:00</news:publication_date><news:title>Alibaba publie les poids ouverts de Qwen3.8-2.4T-A95B pour NVIDIA GB300 NVL72</news:title></news:news></url>
<url><loc>https://korshunov.ai/id/article/18037-alibaba-merilis-bobot-terbuka-qwen3-8-2-4t-a95b-untuk-nvidia-gb300-nvl72/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>id</news:language></news:publication><news:publication_date>2026-08-12T18:51:25.219642+00:00</news:publication_date><news:title>Alibaba merilis bobot terbuka Qwen3.8-2.4T-A95B untuk NVIDIA GB300 NVL72</news:title></news:news></url>
<url><loc>https://korshunov.ai/zh-hans/article/18029-olmoearth-studio-xin-zeng-zi-ding-yi-qian-ru-dao-chu-gong-neng-zhi-chi-xia-you/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>zh-cn</news:language></news:publication><news:publication_date>2026-08-12T16:49:08.346021+00:00</news:publication_date><news:title>OlmoEarth Studio 新增自定义嵌入导出功能，支持下游分析</news:title></news:news></url>
<url><loc>https://korshunov.ai/en/article/18029-olmoearth-studio-adds-custom-embedding-exports-for-downstream-analysis/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>en</news:language></news:publication><news:publication_date>2026-08-12T16:49:08.346021+00:00</news:publication_date><news:title>OlmoEarth Studio adds custom embedding exports for downstream analysis</news:title></news:news></url>
<url><loc>https://korshunov.ai/ru/article/18029-olmoearth-studio-dobavliaet-eksport-polzovatelskikh-embeddingov-dlia-analiza/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ru</news:language></news:publication><news:publication_date>2026-08-12T16:49:08.346021+00:00</news:publication_date><news:title>OlmoEarth Studio добавляет экспорт пользовательских эмбеддингов для последующего анализа</news:title></news:news></url>
<url><loc>https://korshunov.ai/es/article/18029-olmoearth-studio-anade-exportaciones-de-incrustaciones-personalizadas-para/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>es</news:language></news:publication><news:publication_date>2026-08-12T16:49:08.346021+00:00</news:publication_date><news:title>OlmoEarth Studio añade exportaciones de incrustaciones personalizadas para análisis posteriores</news:title></news:news></url>
<url><loc>https://korshunov.ai/pt-br/article/18029-olmoearth-studio-adiciona-exportacoes-personalizadas-de-embeddings-para-analise/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>pt</news:language></news:publication><news:publication_date>2026-08-12T16:49:08.346021+00:00</news:publication_date><news:title>OlmoEarth Studio adiciona exportações personalizadas de embeddings para análise downstream</news:title></news:news></url>
<url><loc>https://korshunov.ai/hi/article/18029-olmoearth-studio-ne-ddaaunsttriim-vishlessnn-ke-lie-ksttm-embedding-niryaat/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>hi</news:language></news:publication><news:publication_date>2026-08-12T16:49:08.346021+00:00</news:publication_date><news:title>OlmoEarth Studio ने डाउनस्ट्रीम विश्लेषण के लिए कस्टम एम्बेडिंग निर्यात जोड़े</news:title></news:news></url>
<url><loc>https://korshunov.ai/ja/article/18029-olmoearth-studiokaxia-liu-fen-xi-yong-nokasutamumai-meip-miekusuho-towozhui-jia/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ja</news:language></news:publication><news:publication_date>2026-08-12T16:49:08.346021+00:00</news:publication_date><news:title>OlmoEarth Studioが下流分析用のカスタム埋め込みエクスポートを追加</news:title></news:news></url>
<url><loc>https://korshunov.ai/ko/article/18029-olmoearth-studioga-haryu-bunseogeul-wihan-sayongja-jeongyi-imbeding/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ko</news:language></news:publication><news:publication_date>2026-08-12T16:49:08.346021+00:00</news:publication_date><news:title>OlmoEarth Studio가 하류 분석을 위한 사용자 정의 임베딩 내보내기를 추가했습니다</news:title></news:news></url>
<url><loc>https://korshunov.ai/fr/article/18029-olmoearth-studio-ajoute-des-exports-d-embeddings-personnalises-pour-l-analyse-en/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>fr</news:language></news:publication><news:publication_date>2026-08-12T16:49:08.346021+00:00</news:publication_date><news:title>OlmoEarth Studio ajoute des exports d'embeddings personnalisés pour l'analyse en aval</news:title></news:news></url>
<url><loc>https://korshunov.ai/id/article/18029-olmoearth-studio-menambahkan-ekspor-embedding-kustom-untuk-analisis-turunan/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>id</news:language></news:publication><news:publication_date>2026-08-12T16:49:08.346021+00:00</news:publication_date><news:title>OlmoEarth Studio menambahkan ekspor embedding kustom untuk analisis turunan</news:title></news:news></url>
<url><loc>https://korshunov.ai/ar/article/18029-ydyf-olmoearth-studio-tsdyran-mkhssan-llmtjht-ltdmyny-llthlyl-llhq/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ar</news:language></news:publication><news:publication_date>2026-08-12T16:49:08.346021+00:00</news:publication_date><news:title>يضيف OlmoEarth Studio تصديرًا مخصصًا للمتجهات التضمينية للتحليل اللاحق</news:title></news:news></url>
<url><loc>https://korshunov.ai/en/article/18020-qwen-releases-qwen3-8-24t-model/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>en</news:language></news:publication><news:publication_date>2026-08-12T16:15:12.664522+00:00</news:publication_date><news:title>Qwen releases Qwen3.8-24T model</news:title></news:news></url>
<url><loc>https://korshunov.ai/ru/article/18020-qwen-vypustila-model-qwen3-8-24t/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ru</news:language></news:publication><news:publication_date>2026-08-12T16:15:12.664522+00:00</news:publication_date><news:title>Qwen выпустила модель Qwen3.8-24T</news:title></news:news></url>
<url><loc>https://korshunov.ai/es/article/18020-qwen-lanza-el-modelo-qwen3-8-24t/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>es</news:language></news:publication><news:publication_date>2026-08-12T16:15:12.664522+00:00</news:publication_date><news:title>Qwen lanza el modelo Qwen3.8-24T</news:title></news:news></url>
<url><loc>https://korshunov.ai/pt-br/article/18020-qwen-lanca-o-modelo-qwen3-8-24t/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>pt</news:language></news:publication><news:publication_date>2026-08-12T16:15:12.664522+00:00</news:publication_date><news:title>Qwen lança o modelo Qwen3.8-24T</news:title></news:news></url>
<url><loc>https://korshunov.ai/hi/article/18020-qwen-ne-qwen3-8-24t-monddl-jaarii-kiyaa/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>hi</news:language></news:publication><news:publication_date>2026-08-12T16:15:12.664522+00:00</news:publication_date><news:title>Qwen ने Qwen3.8-24T मॉडल जारी किया</news:title></news:news></url>
<url><loc>https://korshunov.ai/fr/article/18020-qwen-lance-le-modele-qwen3-8-24t/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>fr</news:language></news:publication><news:publication_date>2026-08-12T16:15:12.664522+00:00</news:publication_date><news:title>Qwen lance le modèle Qwen3.8-24T</news:title></news:news></url>
<url><loc>https://korshunov.ai/id/article/18020-qwen-merilis-model-qwen3-8-24t/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>id</news:language></news:publication><news:publication_date>2026-08-12T16:15:12.664522+00:00</news:publication_date><news:title>Qwen merilis model Qwen3.8-24T</news:title></news:news></url>
<url><loc>https://korshunov.ai/ja/article/18023-calibrakarohoteikusuxue-xi-te-tasetsutonowen-ti-wojian-chu/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ja</news:language></news:publication><news:publication_date>2026-08-12T16:08:38.241273+00:00</news:publication_date><news:title>Calibraがロボティクス学習データセットの問題を検出</news:title></news:news></url>
<url><loc>https://korshunov.ai/ko/article/18023-calibra-robos-hagseub-deiteosesyi-munje-gamji/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ko</news:language></news:publication><news:publication_date>2026-08-12T16:08:38.241273+00:00</news:publication_date><news:title>Calibra, 로봇 학습 데이터셋의 문제 감지</news:title></news:news></url>
<url><loc>https://korshunov.ai/fr/article/18023-calibra-detecte-des-problemes-dans-les-ensembles-de-donnees-d-apprentissage/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>fr</news:language></news:publication><news:publication_date>2026-08-12T16:08:38.241273+00:00</news:publication_date><news:title>Calibra détecte des problèmes dans les ensembles de données d'apprentissage robotique</news:title></news:news></url>
<url><loc>https://korshunov.ai/id/article/18023-calibra-mendeteksi-masalah-dalam-dataset-pembelajaran-robot/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>id</news:language></news:publication><news:publication_date>2026-08-12T16:08:38.241273+00:00</news:publication_date><news:title>Calibra mendeteksi masalah dalam dataset pembelajaran robot</news:title></news:news></url>
<url><loc>https://korshunov.ai/ar/article/18023-tktshf-calibra-mshklt-fy-mjmw-t-bynt-t-lm-lrwbwtt/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ar</news:language></news:publication><news:publication_date>2026-08-12T16:08:38.241273+00:00</news:publication_date><news:title>تكتشف Calibra مشكلات في مجموعات بيانات تعلم الروبوتات</news:title></news:news></url>
<url><loc>https://korshunov.ai/en/article/18023-calibra-detects-issues-in-robot-learning-datasets/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>en</news:language></news:publication><news:publication_date>2026-08-12T16:08:38.241273+00:00</news:publication_date><news:title>Calibra detects issues in robot-learning datasets</news:title></news:news></url>
<url><loc>https://korshunov.ai/ru/article/18023-calibra-obnaruzhivaet-problemy-v-naborakh-dannykh-dlia-obucheniia-robotov/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ru</news:language></news:publication><news:publication_date>2026-08-12T16:08:38.241273+00:00</news:publication_date><news:title>Calibra обнаруживает проблемы в наборах данных для обучения роботов</news:title></news:news></url>
<url><loc>https://korshunov.ai/es/article/18023-calibra-detecta-problemas-en-conjuntos-de-datos-de-aprendizaje-robotico/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>es</news:language></news:publication><news:publication_date>2026-08-12T16:08:38.241273+00:00</news:publication_date><news:title>Calibra detecta problemas en conjuntos de datos de aprendizaje robótico</news:title></news:news></url>
<url><loc>https://korshunov.ai/pt-br/article/18023-calibra-detecta-problemas-em-conjuntos-de-dados-de-aprendizado-robotico/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>pt</news:language></news:publication><news:publication_date>2026-08-12T16:08:38.241273+00:00</news:publication_date><news:title>Calibra detecta problemas em conjuntos de dados de aprendizado robótico</news:title></news:news></url>
<url><loc>https://korshunov.ai/hi/article/18023-calibra-robott-lrning-ddettaasett-men-smsyaaon-kaa-ptaa-lgaataa-hai/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>hi</news:language></news:publication><news:publication_date>2026-08-12T16:08:38.241273+00:00</news:publication_date><news:title>Calibra रोबोट-लर्निंग डेटासेट में समस्याओं का पता लगाता है</news:title></news:news></url>
<url><loc>https://korshunov.ai/en/article/18015-liquid-ai-releases-lfm2-5-vl-3b-for-faster-edge-vision-capabilities/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>en</news:language></news:publication><news:publication_date>2026-08-12T16:00:02.990047+00:00</news:publication_date><news:title>Liquid AI releases LFM2.5-VL-3B for faster edge vision capabilities</news:title></news:news></url>
<url><loc>https://korshunov.ai/ru/article/18015-liquid-ai-vypustila-lfm2-5-vl-3b-dlia-bolee-bystroi-raboty-s-vizualnymi-na/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ru</news:language></news:publication><news:publication_date>2026-08-12T16:00:02.990047+00:00</news:publication_date><news:title>Liquid AI выпустила LFM2.5-VL-3B для более быстрой работы с визуальными задачами на периферийных устройствах</news:title></news:news></url>
<url><loc>https://korshunov.ai/es/article/18015-liquid-ai-lanza-lfm2-5-vl-3b-para-capacidades-de-vision-en-el-borde-mas-rapidas/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>es</news:language></news:publication><news:publication_date>2026-08-12T16:00:02.990047+00:00</news:publication_date><news:title>Liquid AI lanza LFM2.5-VL-3B para capacidades de visión en el borde más rápidas</news:title></news:news></url>
<url><loc>https://korshunov.ai/zh-hans/article/18015-liquid-ai-fa-bu-lfm2-5-vl-3b-ti-sheng-bian-yuan-shi-jue-neng-li/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>zh-cn</news:language></news:publication><news:publication_date>2026-08-12T16:00:02.990047+00:00</news:publication_date><news:title>Liquid AI 发布 LFM2.5-VL-3B，提升边缘视觉能力</news:title></news:news></url>
<url><loc>https://korshunov.ai/pt-br/article/18015-liquid-ai-lanca-lfm2-5-vl-3b-para-capacidades-de-visao-em-borda-mais-rapidas/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>pt</news:language></news:publication><news:publication_date>2026-08-12T16:00:02.990047+00:00</news:publication_date><news:title>Liquid AI lança LFM2.5-VL-3B para capacidades de visão em borda mais rápidas</news:title></news:news></url>
<url><loc>https://korshunov.ai/hi/article/18015-likvidd-eaaii-ne-tej-ej-vijn-kssmtaaon-ke-lie-lfm2-5-vl-3b-jaarii-kiyaa/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>hi</news:language></news:publication><news:publication_date>2026-08-12T16:00:02.990047+00:00</news:publication_date><news:title>लिक्विड एआई ने तेज एज विज़न क्षमताओं के लिए LFM2.5-VL-3B जारी किया</news:title></news:news></url>
<url><loc>https://korshunov.ai/ja/article/18015-liquid-ai-kagao-su-naetsushihishiyonji-neng-xiang-keni-lfm2-5-vl-3b-woriri-su/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ja</news:language></news:publication><news:publication_date>2026-08-12T16:00:02.990047+00:00</news:publication_date><news:title>Liquid AI が高速なエッジビジョン機能向けに LFM2.5-VL-3B をリリース</news:title></news:news></url>
<url><loc>https://korshunov.ai/ko/article/18015-liquid-aiga-deo-bbareun-esji-bijeon-seongneungeul-wihan-lfm2-5-vl-3b-culsi/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ko</news:language></news:publication><news:publication_date>2026-08-12T16:00:02.990047+00:00</news:publication_date><news:title>Liquid AI가 더 빠른 엣지 비전 성능을 위한 LFM2.5-VL-3B 출시</news:title></news:news></url>
<url><loc>https://korshunov.ai/fr/article/18015-liquid-ai-publie-lfm2-5-vl-3b-pour-des-capacites-de-vision-sur-peripherique-plus/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>fr</news:language></news:publication><news:publication_date>2026-08-12T16:00:02.990047+00:00</news:publication_date><news:title>Liquid AI publie LFM2.5-VL-3B pour des capacités de vision sur périphérique plus rapides</news:title></news:news></url>
<url><loc>https://korshunov.ai/id/article/18015-liquid-ai-merilis-lfm2-5-vl-3b-untuk-kemampuan-visi-tepi-yang-lebih-cepat/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>id</news:language></news:publication><news:publication_date>2026-08-12T16:00:02.990047+00:00</news:publication_date><news:title>Liquid AI merilis LFM2.5-VL-3B untuk kemampuan visi tepi yang lebih cepat</news:title></news:news></url>
<url><loc>https://korshunov.ai/ar/article/18015-liquid-ai-ttlq-lfm2-5-vl-3b-lqdrt-rwy-l-lhf-sr/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ar</news:language></news:publication><news:publication_date>2026-08-12T16:00:02.990047+00:00</news:publication_date><news:title>Liquid AI تطلق LFM2.5-VL-3B لقدرات رؤية على الحافة أسرع</news:title></news:news></url>
<url><loc>https://korshunov.ai/zh-hans/article/18014-google-deepmind-fa-bu-mian-xiang-gboard-he-shi-shi-zhuan-lu-de-sl2t-shou-yu-wen/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>zh-cn</news:language></news:publication><news:publication_date>2026-08-12T15:35:52.305605+00:00</news:publication_date><news:title>Google DeepMind 发布面向 Gboard 和实时转录的 SL2T 手语转文本模型</news:title></news:news></url>
<url><loc>https://korshunov.ai/en/article/18014-google-deepmind-releases-sl2t-sign-language-to-text-model-for-gboard-and-live/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>en</news:language></news:publication><news:publication_date>2026-08-12T15:35:52.305605+00:00</news:publication_date><news:title>Google DeepMind releases SL2T sign-language-to-text model for Gboard and Live Transcribe</news:title></news:news></url>
<url><loc>https://korshunov.ai/ru/article/18014-google-deepmind-vypustila-model-perevoda-iazyka-zhestov-v-tekst-sl2t-dlia-gboard/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ru</news:language></news:publication><news:publication_date>2026-08-12T15:35:52.305605+00:00</news:publication_date><news:title>Google DeepMind выпустила модель перевода языка жестов в текст SL2T для Gboard и Live Transcribe</news:title></news:news></url>
<url><loc>https://korshunov.ai/es/article/18014-google-deepmind-lanza-el-modelo-sl2t-de-lengua-de-senas-a-texto-para-gboard-y/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>es</news:language></news:publication><news:publication_date>2026-08-12T15:35:52.305605+00:00</news:publication_date><news:title>Google DeepMind lanza el modelo SL2T de lengua de señas a texto para Gboard y Live Transcribe</news:title></news:news></url>
<url><loc>https://korshunov.ai/pt-br/article/18014-google-deepmind-lanca-modelo-sl2t-de-traducao-de-lingua-de-sinais-para-texto-no/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>pt</news:language></news:publication><news:publication_date>2026-08-12T15:35:52.305605+00:00</news:publication_date><news:title>Google DeepMind lança modelo SL2T de tradução de língua de sinais para texto no Gboard e Live Transcribe</news:title></news:news></url>
<url><loc>https://korshunov.ai/hi/article/18014-google-deepmind-ne-gboard-aur-live-transcribe-ke-lie-sl2t-saain-laingvej-ttuu/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>hi</news:language></news:publication><news:publication_date>2026-08-12T15:35:52.305605+00:00</news:publication_date><news:title>Google DeepMind ने Gboard और Live Transcribe के लिए SL2T साइन-लैंग्वेज-टू-टेक्स्ट मॉडल जारी किया</news:title></news:news></url>
<url><loc>https://korshunov.ai/ja/article/18014-google-deepmind-gboardoyohilive-transcribexiang-kenisl2tzhi-wen-zi-huan-kai/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ja</news:language></news:publication><news:publication_date>2026-08-12T15:35:52.305605+00:00</news:publication_date><news:title>Google DeepMind、GboardおよびLive Transcribe向けにSL2T指文字からテキストへの変換モデルを公開</news:title></news:news></url>
<url><loc>https://korshunov.ai/ko/article/18014-google-deepmind-gboard-mic-live-transcribeyong-sl2t-suhwa-tegseuteu-model-culsi/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ko</news:language></news:publication><news:publication_date>2026-08-12T15:35:52.305605+00:00</news:publication_date><news:title>Google DeepMind, Gboard 및 Live Transcribe용 SL2T 수화-텍스트 모델 출시</news:title></news:news></url>
<url><loc>https://korshunov.ai/fr/article/18014-google-deepmind-publie-le-modele-sl2t-de-traduction-de-langue-des-signes-en-pour/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>fr</news:language></news:publication><news:publication_date>2026-08-12T15:35:52.305605+00:00</news:publication_date><news:title>Google DeepMind publie le modèle SL2T de traduction de langue des signes en texte pour Gboard et Live Transcribe</news:title></news:news></url>
<url><loc>https://korshunov.ai/id/article/18014-google-deepmind-merilis-model-sl2t-penerjemah-bahasa-isyarat-ke-teks-untuk-dan/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>id</news:language></news:publication><news:publication_date>2026-08-12T15:35:52.305605+00:00</news:publication_date><news:title>Google DeepMind merilis model SL2T penerjemah bahasa isyarat ke teks untuk Gboard dan Live Transcribe</news:title></news:news></url>
<url><loc>https://korshunov.ai/ar/article/18014-jwjl-dyb-mynd-ttlq-nmwdhj-sl2t-lthwyl-lg-lshr-l-ns-l-gboard-wlive-transcribe/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ar</news:language></news:publication><news:publication_date>2026-08-12T15:35:52.305605+00:00</news:publication_date><news:title>جوجل ديب مايند تطلق نموذج SL2T لتحويل لغة الإشارة إلى نص لـ Gboard وLive Transcribe</news:title></news:news></url>
<url><loc>https://korshunov.ai/en/article/18011-lfm2-5-vl-3b-improves-screen-understanding-and-function-calling-for-edge/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>en</news:language></news:publication><news:publication_date>2026-08-12T14:27:32.037482+00:00</news:publication_date><news:title>LFM2.5-VL-3B improves screen understanding and function calling for edge deployment</news:title></news:news></url>
<url><loc>https://korshunov.ai/ru/article/18011-lfm2-5-vl-3b-uluchshaet-ponimanie-ekrana-i-vyzov-funktsii-dlia-razvertyvaniia-na/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ru</news:language></news:publication><news:publication_date>2026-08-12T14:27:32.037482+00:00</news:publication_date><news:title>LFM2.5-VL-3B улучшает понимание экрана и вызов функций для развёртывания на периферии</news:title></news:news></url>
<url><loc>https://korshunov.ai/es/article/18011-lfm2-5-vl-3b-mejora-la-comprension-de-pantallas-y-la-invocacion-de-funciones-en/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>es</news:language></news:publication><news:publication_date>2026-08-12T14:27:32.037482+00:00</news:publication_date><news:title>LFM2.5-VL-3B mejora la comprensión de pantallas y la invocación de funciones para despliegue en el borde</news:title></news:news></url>
<url><loc>https://korshunov.ai/zh-hans/article/18011-lfm2-5-vl-3bti-sheng-ping-mu-li-jie-yu-han-shu-diao-yong-neng-li-zhu-li-bian-bu/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>zh-cn</news:language></news:publication><news:publication_date>2026-08-12T14:27:32.037482+00:00</news:publication_date><news:title>LFM2.5-VL-3B提升屏幕理解与函数调用能力，助力边缘部署</news:title></news:news></url>
<url><loc>https://korshunov.ai/pt-br/article/18011-lfm2-5-vl-3b-melhora-a-compreensao-de-tela-e-a-chamada-de-funcoes-para-em-de/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>pt</news:language></news:publication><news:publication_date>2026-08-12T14:27:32.037482+00:00</news:publication_date><news:title>LFM2.5-VL-3B melhora a compreensão de tela e a chamada de funções para implantação em dispositivos de borda</news:title></news:news></url>
<url><loc>https://korshunov.ai/hi/article/18011-lfm2-5-vl-3b-ej-ddiplonymentt-ke-lie-skriin-smjh-aur-phnkshn-konling-men-sudhaar/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>hi</news:language></news:publication><news:publication_date>2026-08-12T14:27:32.037482+00:00</news:publication_date><news:title>LFM2.5-VL-3B एज डिप्लॉयमेंट के लिए स्क्रीन समझ और फंक्शन कॉलिंग में सुधार करता है</news:title></news:news></url>
<url><loc>https://korshunov.ai/ja/article/18011-lfm2-5-vl-3bkaetsushizhan-kai-xiang-kenohua-mian-li-jie-toguan-shu-hu-hichu-shan/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ja</news:language></news:publication><news:publication_date>2026-08-12T14:27:32.037482+00:00</news:publication_date><news:title>LFM2.5-VL-3Bがエッジ展開向けの画面理解と関数呼び出しを改善</news:title></news:news></url>
<url><loc>https://korshunov.ai/ko/article/18011-lfm2-5-vl-3bga-esji-baeporeul-wihan-hwamyeon-ihae-mic-hamsu-hoculeul-gaeseon/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ko</news:language></news:publication><news:publication_date>2026-08-12T14:27:32.037482+00:00</news:publication_date><news:title>LFM2.5-VL-3B가 엣지 배포를 위한 화면 이해 및 함수 호출을 개선</news:title></news:news></url>
<url><loc>https://korshunov.ai/fr/article/18011-lfm2-5-vl-3b-ameliore-la-comprehension-d-ecran-et-l-appel-de-fonctions-pour-le/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>fr</news:language></news:publication><news:publication_date>2026-08-12T14:27:32.037482+00:00</news:publication_date><news:title>LFM2.5-VL-3B améliore la compréhension d'écran et l'appel de fonctions pour le déploiement en périphérie</news:title></news:news></url>
<url><loc>https://korshunov.ai/id/article/18011-lfm2-5-vl-3b-meningkatkan-pemahaman-layar-dan-pemanggilan-fungsi-untuk-di-tepi/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>id</news:language></news:publication><news:publication_date>2026-08-12T14:27:32.037482+00:00</news:publication_date><news:title>LFM2.5-VL-3B meningkatkan pemahaman layar dan pemanggilan fungsi untuk penyebaran di perangkat tepi</news:title></news:news></url>
<url><loc>https://korshunov.ai/ar/article/18011-lfm2-5-vl-3b-yhswn-fhm-lshsh-wstd-lwzyf-llnshr-l-lhf/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ar</news:language></news:publication><news:publication_date>2026-08-12T14:27:32.037482+00:00</news:publication_date><news:title>LFM2.5-VL-3B يحسّن فهم الشاشة واستدعاء الوظائف للنشر على الحافة</news:title></news:news></url>
<url><loc>https://korshunov.ai/en/article/18009-openai-reports-widening-gap-as-enterprise-ai-shifts-from-assistance-to-execution/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>en</news:language></news:publication><news:publication_date>2026-08-12T14:00:41.960095+00:00</news:publication_date><news:title>OpenAI reports widening gap as enterprise AI shifts from assistance to execution</news:title></news:news></url>
<url><loc>https://korshunov.ai/ru/article/18009-openai-soobshchaet-o-rasshirenii-razryva-po-mere-perekhoda-korporativnogo-ii-ot/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ru</news:language></news:publication><news:publication_date>2026-08-12T14:00:41.960095+00:00</news:publication_date><news:title>OpenAI сообщает о расширении разрыва по мере перехода корпоративного ИИ от помощи к выполнению задач</news:title></news:news></url>
<url><loc>https://korshunov.ai/es/article/18009-openai-informa-de-una-brecha-creciente-a-medida-que-la-ia-empresarial-pasa-de-a/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>es</news:language></news:publication><news:publication_date>2026-08-12T14:00:41.960095+00:00</news:publication_date><news:title>OpenAI informa de una brecha creciente a medida que la IA empresarial pasa de asistencia a ejecución</news:title></news:news></url>
<url><loc>https://korshunov.ai/zh-hans/article/18009-openaibao-gao-cheng-qi-ye-aicong-fu-zhu-zhuan-xiang-zhi-xing-chai-ju-kuo-da/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>zh-cn</news:language></news:publication><news:publication_date>2026-08-12T14:00:41.960095+00:00</news:publication_date><news:title>OpenAI报告称企业AI从辅助转向执行，差距扩大</news:title></news:news></url>
<url><loc>https://korshunov.ai/pt-br/article/18009-openai-relata-ampliacao-da-lacuna-a-medida-que-a-ia-empresarial-migra-de-para/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>pt</news:language></news:publication><news:publication_date>2026-08-12T14:00:41.960095+00:00</news:publication_date><news:title>OpenAI relata ampliação da lacuna à medida que a IA empresarial migra de assistência para execução</news:title></news:news></url>
<url><loc>https://korshunov.ai/hi/article/18009-udym-eaaii-shaaytaa-se-nisspaadn-kii-or-bddh-rhaa-hai-opneaaii-antr-ke-bddhne/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>hi</news:language></news:publication><news:publication_date>2026-08-12T14:00:41.960095+00:00</news:publication_date><news:title>उद्यम एआई सहायता से निष्पादन की ओर बढ़ रहा है, ओपनएआई अंतर के बढ़ने की रिपोर्ट करता है</news:title></news:news></url>
<url><loc>https://korshunov.ai/ja/article/18009-openai-enta-huraisuaikazhi-yuan-karashi-xing-heyi-xing-suruzhong-tege-chai-kuo/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ja</news:language></news:publication><news:publication_date>2026-08-12T14:00:41.960095+00:00</news:publication_date><news:title>OpenAI、エンタープライズAIが支援から実行へ移行する中で格差拡大を報告</news:title></news:news></url>
<url><loc>https://korshunov.ai/ko/article/18009-openai-gieobyong-aiga-bojoeseo-silhaengeuro-jeonhwandoemyeonseo-gyeogca-hwagdae/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ko</news:language></news:publication><news:publication_date>2026-08-12T14:00:41.960095+00:00</news:publication_date><news:title>OpenAI, 기업용 AI가 보조에서 실행으로 전환되면서 격차 확대 보고</news:title></news:news></url>
<url><loc>https://korshunov.ai/fr/article/18009-openai-signale-un-ecart-croissant-alors-que-l-ia-d-entreprise-passe-de-l-a-l/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>fr</news:language></news:publication><news:publication_date>2026-08-12T14:00:41.960095+00:00</news:publication_date><news:title>OpenAI signale un écart croissant alors que l'IA d'entreprise passe de l'assistance à l'exécution</news:title></news:news></url>
<url><loc>https://korshunov.ai/id/article/18009-openai-melaporkan-kesenjangan-yang-melebar-seiring-pergeseran-ai-perusahaan-dari/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>id</news:language></news:publication><news:publication_date>2026-08-12T14:00:41.960095+00:00</news:publication_date><news:title>OpenAI melaporkan kesenjangan yang melebar seiring pergeseran AI perusahaan dari bantuan ke eksekusi</news:title></news:news></url>
<url><loc>https://korshunov.ai/ar/article/18009-openai-tublg-n-ts-lfjw-m-thwl-ldhk-lstn-y-lmwssy-mn-lms-d-l-ltnfydh/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ar</news:language></news:publication><news:publication_date>2026-08-12T14:00:41.960095+00:00</news:publication_date><news:title>OpenAI تُبلغ عن اتساع الفجوة مع تحول الذكاء الاصطناعي المؤسسي من المساعدة إلى التنفيذ</news:title></news:news></url>
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<url><loc>https://korshunov.ai/fr/article/17992-jlorraine-presente-des-outils-d-optimisation-imbriquee-evolutifs-pour-l-profond/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>fr</news:language></news:publication><news:publication_date>2026-08-12T10:33:46.843314+00:00</news:publication_date><news:title>jlorraine présente des outils d'optimisation imbriquée évolutifs pour l'apprentissage profond</news:title></news:news></url>
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<url><loc>https://korshunov.ai/en/article/17992-jlorraine-presents-scalable-nested-optimization-tools-for-deep-learning/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>en</news:language></news:publication><news:publication_date>2026-08-12T10:33:46.843314+00:00</news:publication_date><news:title>jlorraine presents scalable nested optimization tools for deep learning</news:title></news:news></url>
<url><loc>https://korshunov.ai/ru/article/17992-jlorraine-predstavliaet-masshtabiruemye-instrumenty-vlozhennoi-optimizatsii-dlia/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ru</news:language></news:publication><news:publication_date>2026-08-12T10:33:46.843314+00:00</news:publication_date><news:title>jlorraine представляет масштабируемые инструменты вложенной оптимизации для глубокого обучения</news:title></news:news></url>
<url><loc>https://korshunov.ai/es/article/17992-jlorraine-presenta-herramientas-de-optimizacion-anidada-escalables-para-el/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>es</news:language></news:publication><news:publication_date>2026-08-12T10:33:46.843314+00:00</news:publication_date><news:title>jlorraine presenta herramientas de optimización anidada escalables para el aprendizaje profundo</news:title></news:news></url>
<url><loc>https://korshunov.ai/zh-hans/article/17992-jlorraine-ti-chu-yong-yu-shen-du-xue-xi-de-ke-kuo-zhan-qian-tao-you-hua-gong-ju/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>zh-cn</news:language></news:publication><news:publication_date>2026-08-12T10:33:46.843314+00:00</news:publication_date><news:title>jlorraine 提出用于深度学习的可扩展嵌套优化工具</news:title></news:news></url>
<url><loc>https://korshunov.ai/pt-br/article/17992-jlorraine-apresenta-ferramentas-de-otimizacao-aninhada-escalaveis-para-profundo/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>pt</news:language></news:publication><news:publication_date>2026-08-12T10:33:46.843314+00:00</news:publication_date><news:title>jlorraine apresenta ferramentas de otimização aninhada escaláveis para aprendizado profundo</news:title></news:news></url>
<url><loc>https://korshunov.ai/hi/article/17992-jlorraine-ghn-shikssnn-ke-lie-skelebl-nesttedd-onpttimaaijeshn-ttuuls-prstut-hai/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>hi</news:language></news:publication><news:publication_date>2026-08-12T10:33:46.843314+00:00</news:publication_date><news:title>jlorraine गहन शिक्षण के लिए स्केलेबल नेस्टेड ऑप्टिमाइजेशन टूल्स प्रस्तुत करता है</news:title></news:news></url>
<url><loc>https://korshunov.ai/ja/article/17992-jlorraine-katei-hura-ninkuyong-nosuke-rahurunanesutozui-shi-hua-tsu-ruwofa-biao/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ja</news:language></news:publication><news:publication_date>2026-08-12T10:33:46.843314+00:00</news:publication_date><news:title>jlorraine がディープラーニング用のスケーラブルなネスト最適化ツールを発表</news:title></news:news></url>
<url><loc>https://korshunov.ai/ko/article/17992-jlorraine-dibreoningeul-wihan-hwagjang-ganeunghan-jungceob-coejeoghwa-dogu/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ko</news:language></news:publication><news:publication_date>2026-08-12T10:33:46.843314+00:00</news:publication_date><news:title>jlorraine, 딥러닝을 위한 확장 가능한 중첩 최적화 도구 발표</news:title></news:news></url>
<url><loc>https://korshunov.ai/en/article/17988-nvidia-releases-nemotron-3-5-lightning-model-and-nemo-switchyard-router/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>en</news:language></news:publication><news:publication_date>2026-08-12T10:01:02.037316+00:00</news:publication_date><news:title>NVIDIA releases Nemotron 3.5 Lightning model and NeMo Switchyard router</news:title></news:news></url>
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<url><loc>https://korshunov.ai/zh-hans/article/17988-nvidiafa-bu-nemotron-3-5-lightningmo-xing-he-nemo-switchyardlu-you-qi/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>zh-cn</news:language></news:publication><news:publication_date>2026-08-12T10:01:02.037316+00:00</news:publication_date><news:title>NVIDIA发布Nemotron 3.5 Lightning模型和NeMo Switchyard路由器</news:title></news:news></url>
<url><loc>https://korshunov.ai/pt-br/article/17988-nvidia-lanca-modelo-nemotron-3-5-lightning-e-roteador-nemo-switchyard/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>pt</news:language></news:publication><news:publication_date>2026-08-12T10:01:02.037316+00:00</news:publication_date><news:title>NVIDIA lança modelo Nemotron 3.5 Lightning e roteador NeMo Switchyard</news:title></news:news></url>
<url><loc>https://korshunov.ai/hi/article/17988-nvidia-ne-nemotron-3-5-lightning-monddl-aur-nemo-switchyard-raauttr-jaarii-kie/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>hi</news:language></news:publication><news:publication_date>2026-08-12T10:01:02.037316+00:00</news:publication_date><news:title>NVIDIA ने Nemotron 3.5 Lightning मॉडल और NeMo Switchyard राउटर जारी किए</news:title></news:news></url>
<url><loc>https://korshunov.ai/ja/article/17988-nvidia-nemotron-3-5-lightningmoterutonemo-switchyardru-ta-woriri-su/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ja</news:language></news:publication><news:publication_date>2026-08-12T10:01:02.037316+00:00</news:publication_date><news:title>NVIDIA、Nemotron 3.5 LightningモデルとNeMo Switchyardルーターをリリース</news:title></news:news></url>
<url><loc>https://korshunov.ai/ko/article/17988-nvidiaga-nemotron-3-5-lightning-modelgwa-nemo-switchyard-rauteoreul-culsihada/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ko</news:language></news:publication><news:publication_date>2026-08-12T10:01:02.037316+00:00</news:publication_date><news:title>NVIDIA가 Nemotron 3.5 Lightning 모델과 NeMo Switchyard 라우터를 출시하다</news:title></news:news></url>
<url><loc>https://korshunov.ai/fr/article/17988-nvidia-publie-le-modele-nemotron-3-5-lightning-et-le-routeur-nemo-switchyard/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>fr</news:language></news:publication><news:publication_date>2026-08-12T10:01:02.037316+00:00</news:publication_date><news:title>NVIDIA publie le modèle Nemotron 3.5 Lightning et le routeur NeMo Switchyard</news:title></news:news></url>
<url><loc>https://korshunov.ai/id/article/17988-nvidia-merilis-model-nemotron-3-5-lightning-dan-router-nemo-switchyard/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>id</news:language></news:publication><news:publication_date>2026-08-12T10:01:02.037316+00:00</news:publication_date><news:title>NVIDIA merilis model Nemotron 3.5 Lightning dan router NeMo Switchyard</news:title></news:news></url>
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<url><loc>https://korshunov.ai/ja/article/17982-yan-jiu-zhe-rakaclaude-gpt-gemininoapikaraan-hao-hua-saretatui-lun-tore-suwojie/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ja</news:language></news:publication><news:publication_date>2026-08-12T08:12:56.226865+00:00</news:publication_date><news:title>研究者らがClaude、GPT、GeminiのAPIから暗号化された推論トレースを解読</news:title></news:news></url>
<url><loc>https://korshunov.ai/ko/article/17982-yeongujadeuli-claude-gpt-gemini-apiyi-amhohwadoen-curon-teureiseureul-haedoghada/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ko</news:language></news:publication><news:publication_date>2026-08-12T08:12:56.226865+00:00</news:publication_date><news:title>연구자들이 Claude, GPT, Gemini API의 암호화된 추론 트레이스를 해독하다</news:title></news:news></url>
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<url><loc>https://korshunov.ai/ar/article/17982-bhthwn-yfkwwn-tshfyr-msrt-lstdll-mn-wjht-brmj-ttbyqt-claude-wgpt-wgemini/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ar</news:language></news:publication><news:publication_date>2026-08-12T08:12:56.226865+00:00</news:publication_date><news:title>باحثون يفكّون تشفير مسارات الاستدلال من واجهات برمجة تطبيقات Claude وGPT وGemini</news:title></news:news></url>
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<url><loc>https://korshunov.ai/ja/article/17979-llama-cpp-b10369kapocket-ttssaho-towozhui-jia-shi-cudasheng-cheng-ka80-gao-su/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ja</news:language></news:publication><news:publication_date>2026-08-12T05:34:13.655825+00:00</news:publication_date><news:title>llama.cpp b10369がpocket-ttsサポートを追加し、CUDA生成が80%高速化</news:title></news:news></url>
<url><loc>https://korshunov.ai/ko/article/17979-llama-cpp-b10369-pocket-tts-jiweon-cuga-mic-cuda-saengseong-80-gasog/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ko</news:language></news:publication><news:publication_date>2026-08-12T05:34:13.655825+00:00</news:publication_date><news:title>llama.cpp b10369, pocket-tts 지원 추가 및 CUDA 생성 80% 가속</news:title></news:news></url>
<url><loc>https://korshunov.ai/fr/article/17979-llama-cpp-b10369-ajoute-le-support-de-pocket-tts-avec-une-generation-cuda-80/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>fr</news:language></news:publication><news:publication_date>2026-08-12T05:34:13.655825+00:00</news:publication_date><news:title>llama.cpp b10369 ajoute le support de pocket-tts avec une génération CUDA 80% plus rapide</news:title></news:news></url>
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<url><loc>https://korshunov.ai/en/article/17790-xai-launches-grok-bot-always-on-ai-agents-for-desktop-and-ios/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>en</news:language></news:publication><news:publication_date>2026-08-11T19:06:39.483122+00:00</news:publication_date><news:title>xAI launches Grok Bot, always-on AI agents for desktop and iOS</news:title></news:news></url>
<url><loc>https://korshunov.ai/ru/article/17790-xai-zapuskaet-grok-bot-vsegda-aktivnye-ii-agenty-dlia-desktopa-i-ios/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ru</news:language></news:publication><news:publication_date>2026-08-11T19:06:39.483122+00:00</news:publication_date><news:title>xAI запускает Grok Bot: всегда активные ИИ-агенты для десктопа и iOS</news:title></news:news></url>
<url><loc>https://korshunov.ai/es/article/17790-xai-lanza-grok-bot-agentes-de-ia-siempre-activos-para-escritorio-e-ios/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>es</news:language></news:publication><news:publication_date>2026-08-11T19:06:39.483122+00:00</news:publication_date><news:title>xAI lanza Grok Bot, agentes de IA siempre activos para escritorio e iOS</news:title></news:news></url>
<url><loc>https://korshunov.ai/zh-hans/article/17790-xai-tui-chu-grok-bot-mian-xiang-zhuo-mian-he-ios-de-chang-zhu-ai-zhi-neng-ti/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>zh-cn</news:language></news:publication><news:publication_date>2026-08-11T19:06:39.483122+00:00</news:publication_date><news:title>xAI 推出 Grok Bot，面向桌面和 iOS 的常驻 AI 智能体</news:title></news:news></url>
<url><loc>https://korshunov.ai/pt-br/article/17790-xai-lanca-grok-bot-agentes-de-ia-sempre-ativos-para-desktop-e-ios/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>pt</news:language></news:publication><news:publication_date>2026-08-11T19:06:39.483122+00:00</news:publication_date><news:title>xAI lança Grok Bot, agentes de IA sempre ativos para desktop e iOS</news:title></news:news></url>
<url><loc>https://korshunov.ai/hi/article/17790-xai-ne-ddeskttonp-aur-ios-ke-lie-hmeshaa-skriy-ai-ejentts-grok-bot-lonnc-kie/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>hi</news:language></news:publication><news:publication_date>2026-08-11T19:06:39.483122+00:00</news:publication_date><news:title>xAI ने डेस्कटॉप और iOS के लिए हमेशा-सक्रिय AI एजेंट्स Grok Bot लॉन्च किए</news:title></news:news></url>
<url><loc>https://korshunov.ai/ja/article/17790-xaikagrok-botworiri-su-tesukutotsuhuoyohiiosxiang-kenochang-shi-onaie-shiento/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ja</news:language></news:publication><news:publication_date>2026-08-11T19:06:39.483122+00:00</news:publication_date><news:title>xAIがGrok Botをリリース、デスクトップおよびiOS向けの常時オンAIエージェント</news:title></news:news></url>
<url><loc>https://korshunov.ai/ko/article/17790-xai-deseukeutob-mic-iosyong-sangsi-hwalseong-ai-eijeonteu-grok-bot-culsi/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ko</news:language></news:publication><news:publication_date>2026-08-11T19:06:39.483122+00:00</news:publication_date><news:title>xAI, 데스크톱 및 iOS용 상시 활성 AI 에이전트 Grok Bot 출시</news:title></news:news></url>
<url><loc>https://korshunov.ai/fr/article/17790-xai-lance-grok-bot-des-agents-ia-toujours-actifs-pour-desktop-et-ios/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>fr</news:language></news:publication><news:publication_date>2026-08-11T19:06:39.483122+00:00</news:publication_date><news:title>xAI lance Grok Bot, des agents IA toujours actifs pour desktop et iOS</news:title></news:news></url>
<url><loc>https://korshunov.ai/id/article/17790-xai-meluncurkan-grok-bot-agen-ai-yang-selalu-aktif-untuk-desktop-dan-ios/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>id</news:language></news:publication><news:publication_date>2026-08-11T19:06:39.483122+00:00</news:publication_date><news:title>xAI meluncurkan Grok Bot, agen AI yang selalu aktif untuk desktop dan iOS</news:title></news:news></url>
<url><loc>https://korshunov.ai/ar/article/17790-ks-y-ttlq-grok-bot-wkl-dhk-stn-y-y-mlwn-dyman-l-sth-lmktb-wios/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ar</news:language></news:publication><news:publication_date>2026-08-11T19:06:39.483122+00:00</news:publication_date><news:title>إكس آي تطلق Grok Bot، وكلاء ذكاء اصطناعي يعملون دائمًا على سطح المكتب وiOS</news:title></news:news></url>
<url><loc>https://korshunov.ai/en/article/17788-llama-cpp-b10361-fixes-swa-for-exaone-4-5-and-skips-tensor-skip-in-metadata-path/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>en</news:language></news:publication><news:publication_date>2026-08-11T18:22:51.195080+00:00</news:publication_date><news:title>llama.cpp b10361 fixes SWA for EXAONE 4.5 and skips TENSOR_SKIP in metadata path</news:title></news:news></url>
<url><loc>https://korshunov.ai/ko/article/17788-llama-cpp-b10361i-exaone-4-5yi-swareul-sujeonghago-metadeiteo-gyeongroeseo/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ko</news:language></news:publication><news:publication_date>2026-08-11T18:22:51.195080+00:00</news:publication_date><news:title>llama.cpp b10361이 EXAONE 4.5의 SWA를 수정하고 메타데이터 경로에서 TENSOR_SKIP을 건너뜀</news:title></news:news></url>
<url><loc>https://korshunov.ai/ru/article/17788-llama-cpp-b10361-ispravliaet-swa-dlia-exaone-4-5-i-propuskaet-tensor-skip-v-puti/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ru</news:language></news:publication><news:publication_date>2026-08-11T18:22:51.195080+00:00</news:publication_date><news:title>llama.cpp b10361 исправляет SWA для EXAONE 4.5 и пропускает TENSOR_SKIP в пути метаданных</news:title></news:news></url>
<url><loc>https://korshunov.ai/es/article/17788-llama-cpp-b10361-corrige-swa-para-exaone-4-5-y-omite-tensor-skip-en-la-ruta-de/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>es</news:language></news:publication><news:publication_date>2026-08-11T18:22:51.195080+00:00</news:publication_date><news:title>llama.cpp b10361 corrige SWA para EXAONE 4.5 y omite TENSOR_SKIP en la ruta de metadatos</news:title></news:news></url>
<url><loc>https://korshunov.ai/zh-hans/article/17788-llama-cpp-b10361-xiu-fu-exaone-4-5-de-swa-bing-tiao-guo-yuan-shu-ju-lu-jing-de/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>zh-cn</news:language></news:publication><news:publication_date>2026-08-11T18:22:51.195080+00:00</news:publication_date><news:title>llama.cpp b10361 修复 EXAONE 4.5 的 SWA 并跳过元数据路径中的 TENSOR_SKIP</news:title></news:news></url>
<url><loc>https://korshunov.ai/pt-br/article/17788-llama-cpp-b10361-corrige-swa-para-exaone-4-5-e-ignora-tensor-skip-no-caminho-de/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>pt</news:language></news:publication><news:publication_date>2026-08-11T18:22:51.195080+00:00</news:publication_date><news:title>llama.cpp b10361 corrige SWA para EXAONE 4.5 e ignora TENSOR_SKIP no caminho de metadados</news:title></news:news></url>
<url><loc>https://korshunov.ai/hi/article/17788-llama-cpp-b10361-ne-exaone-4-5-ke-lie-swa-ko-tthiik-kiyaa-aur-mettaaddettaa-pth/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>hi</news:language></news:publication><news:publication_date>2026-08-11T18:22:51.195080+00:00</news:publication_date><news:title>llama.cpp b10361 ने EXAONE 4.5 के लिए SWA को ठीक किया और मेटाडेटा पथ में TENSOR_SKIP को छोड़ा</news:title></news:news></url>
<url><loc>https://korshunov.ai/ja/article/17788-llama-cpp-b10361teexaone-4-5noswawoxiu-zheng-shi-metate-tahasutenotensor/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ja</news:language></news:publication><news:publication_date>2026-08-11T18:22:51.195080+00:00</news:publication_date><news:title>llama.cpp b10361でEXAONE 4.5のSWAを修正し、メタデータパスでのTENSOR_SKIPをスキップ</news:title></news:news></url>
<url><loc>https://korshunov.ai/fr/article/17788-llama-cpp-b10361-corrige-swa-pour-exaone-4-5-et-ignore-tensor-skip-dans-le-des/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>fr</news:language></news:publication><news:publication_date>2026-08-11T18:22:51.195080+00:00</news:publication_date><news:title>llama.cpp b10361 corrige SWA pour EXAONE 4.5 et ignore TENSOR_SKIP dans le chemin des métadonnées</news:title></news:news></url>
<url><loc>https://korshunov.ai/id/article/17788-llama-cpp-b10361-memperbaiki-swa-untuk-exaone-4-5-dan-melewatkan-tensor-skip-di/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>id</news:language></news:publication><news:publication_date>2026-08-11T18:22:51.195080+00:00</news:publication_date><news:title>llama.cpp b10361 memperbaiki SWA untuk EXAONE 4.5 dan melewatkan TENSOR_SKIP di jalur metadata</news:title></news:news></url>
<url><loc>https://korshunov.ai/ar/article/17788-slh-llama-cpp-b10361-l-swa-lkhs-b-exaone-4-5-wtkhty-tensor-skip-fy-msr-lbynt/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ar</news:language></news:publication><news:publication_date>2026-08-11T18:22:51.195080+00:00</news:publication_date><news:title>إصلاح llama.cpp b10361 لـ SWA الخاص بـ EXAONE 4.5 وتخطي TENSOR_SKIP في مسار البيانات الوصفية</news:title></news:news></url>
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<url><loc>https://korshunov.ai/ru/article/17784-mistral-zapuskaet-regionalnye-konechnye-tochki-podderzhku-otkrytykh-modelei-i/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ru</news:language></news:publication><news:publication_date>2026-08-11T17:03:43.667223+00:00</news:publication_date><news:title>Mistral запускает региональные конечные точки, поддержку открытых моделей и европейскую коалицию вычислений</news:title></news:news></url>
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<url><loc>https://korshunov.ai/en/article/17780-ibm-research-releases-genco-unified-neural-solver-for-power-grid-analysis/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>en</news:language></news:publication><news:publication_date>2026-08-11T16:15:53.724651+00:00</news:publication_date><news:title>IBM Research releases GENCO unified neural solver for power grid analysis</news:title></news:news></url>
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<url><loc>https://korshunov.ai/ko/article/17780-ibm-research-jeonryeogmang-bunseogeul-wihan-genco-tonghab-singyeong-solbeo/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ko</news:language></news:publication><news:publication_date>2026-08-11T16:15:53.724651+00:00</news:publication_date><news:title>IBM Research, 전력망 분석을 위한 GENCO 통합 신경 솔버 공개</news:title></news:news></url>
<url><loc>https://korshunov.ai/fr/article/17780-ibm-research-publie-genco-un-solveur-neural-unifie-pour-l-analyse-des-reseaux/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>fr</news:language></news:publication><news:publication_date>2026-08-11T16:15:53.724651+00:00</news:publication_date><news:title>IBM Research publie GENCO, un solveur neural unifié pour l'analyse des réseaux électriques</news:title></news:news></url>
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<url><loc>https://korshunov.ai/en/article/17775-anthropic-s-claude-improves-riemann-hypothesis-bound-meta-releases-muse-glimmer/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>en</news:language></news:publication><news:publication_date>2026-08-11T15:04:22.611151+00:00</news:publication_date><news:title>Anthropic's Claude improves Riemann hypothesis bound; Meta releases Muse Glimmer; OpenAI launches GPT-5.6-Cyber</news:title></news:news></url>
<url><loc>https://korshunov.ai/es/article/17775-claude-de-anthropic-mejora-el-limite-de-la-hipotesis-de-riemann-meta-lanza-muse/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>es</news:language></news:publication><news:publication_date>2026-08-11T15:04:22.611151+00:00</news:publication_date><news:title>Claude de Anthropic mejora el límite de la hipótesis de Riemann; Meta lanza Muse Glimmer; OpenAI presenta GPT-5.6-Cyber</news:title></news:news></url>
<url><loc>https://korshunov.ai/zh-hans/article/17775-anthropicde-claudegai-jin-liao-li-man-cai-xiang-xia-jie-metafa-bu-muse-glimmer-5/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>zh-cn</news:language></news:publication><news:publication_date>2026-08-11T15:04:22.611151+00:00</news:publication_date><news:title>Anthropic的Claude改进了黎曼猜想下界；Meta发布Muse Glimmer；OpenAI推出GPT-5.6-Cyber</news:title></news:news></url>
<url><loc>https://korshunov.ai/pt-br/article/17775-claude-da-anthropic-melhora-limite-da-hipotese-de-riemann-meta-lanca-muse-openai/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>pt</news:language></news:publication><news:publication_date>2026-08-11T15:04:22.611151+00:00</news:publication_date><news:title>Claude da Anthropic melhora limite da hipótese de Riemann; Meta lança Muse Glimmer; OpenAI lança GPT-5.6-Cyber</news:title></news:news></url>
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<url><loc>https://korshunov.ai/ja/article/17775-anthropicnoclaudekari-manyu-xiang-nojing-jie-wogai-shan-metakamuse-glimmerworiri/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ja</news:language></news:publication><news:publication_date>2026-08-11T15:04:22.611151+00:00</news:publication_date><news:title>AnthropicのClaudeがリーマン予想の境界を改善、MetaがMuse Glimmerをリリース、OpenAIがGPT-5.6-Cyberを発表</news:title></news:news></url>
<url><loc>https://korshunov.ai/ko/article/17775-anthropicyi-claudega-riman-gaseol-gyeonggye-gaeseon-metaga-muse-glimmer-culsi-5/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ko</news:language></news:publication><news:publication_date>2026-08-11T15:04:22.611151+00:00</news:publication_date><news:title>Anthropic의 Claude가 리만 가설 경계 개선; Meta가 Muse Glimmer 출시; OpenAI가 GPT-5.6-Cyber 발표</news:title></news:news></url>
<url><loc>https://korshunov.ai/fr/article/17775-claude-d-anthropic-ameliore-la-borne-de-l-hypothese-de-riemann-meta-publie-muse/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>fr</news:language></news:publication><news:publication_date>2026-08-11T15:04:22.611151+00:00</news:publication_date><news:title>Claude d'Anthropic améliore la borne de l'hypothèse de Riemann ; Meta publie Muse Glimmer ; OpenAI lance GPT-5.6-Cyber</news:title></news:news></url>
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<url><loc>https://korshunov.ai/zh-hans/article/17767-altk-evolve-yi-ji-di-de-tui-li-cheng-ben-shi-xian-yu-ace-xiang-dang-huo-geng-you/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>zh-cn</news:language></news:publication><news:publication_date>2026-08-11T14:33:02.613181+00:00</news:publication_date><news:title>ALTK-Evolve 以极低的推理成本实现与 ACE 相当或更优的准确率</news:title></news:news></url>
<url><loc>https://korshunov.ai/en/article/17767-altk-evolve-achieves-same-or-better-accuracy-than-ace-at-a-fraction-of-inference/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>en</news:language></news:publication><news:publication_date>2026-08-11T14:33:02.613181+00:00</news:publication_date><news:title>ALTK-Evolve achieves same-or-better accuracy than ACE at a fraction of inference cost</news:title></news:news></url>
<url><loc>https://korshunov.ai/ru/article/17767-altk-evolve-dostigaet-tochnosti-ne-khuzhe-ace-pri-znachitelno-menshei-stoimosti/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ru</news:language></news:publication><news:publication_date>2026-08-11T14:33:02.613181+00:00</news:publication_date><news:title>ALTK-Evolve достигает точности не хуже ACE при значительно меньшей стоимости вывода</news:title></news:news></url>
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<url><loc>https://korshunov.ai/pt-br/article/17767-altk-evolve-alcanca-precisao-igual-ou-superior-a-do-ace-com-uma-fracao-do-custo/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>pt</news:language></news:publication><news:publication_date>2026-08-11T14:33:02.613181+00:00</news:publication_date><news:title>ALTK-Evolve alcança precisão igual ou superior à do ACE com uma fração do custo de inferência</news:title></news:news></url>
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<url><loc>https://korshunov.ai/ja/article/17767-altk-evolvehatui-lun-kosutonoda-fu-xue-jian-teacetotong-deng-yi-shang-nojing-du/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ja</news:language></news:publication><news:publication_date>2026-08-11T14:33:02.613181+00:00</news:publication_date><news:title>ALTK-Evolveは推論コストの大幅削減でACEと同等以上の精度を達成</news:title></news:news></url>
<url><loc>https://korshunov.ai/ko/article/17767-altk-evolveneun-curon-biyongeul-keuge-julimyeonseo-acewa-dongdeunghageona-deo/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ko</news:language></news:publication><news:publication_date>2026-08-11T14:33:02.613181+00:00</news:publication_date><news:title>ALTK-Evolve는 추론 비용을 크게 줄이면서 ACE와 동등하거나 더 높은 정확도를 달성</news:title></news:news></url>
<url><loc>https://korshunov.ai/fr/article/17767-altk-evolve-atteint-une-precision-egale-ou-superieure-a-celle-d-ace-pour-une-du/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>fr</news:language></news:publication><news:publication_date>2026-08-11T14:33:02.613181+00:00</news:publication_date><news:title>ALTK-Evolve atteint une précision égale ou supérieure à celle d'ACE pour une fraction du coût d'inférence</news:title></news:news></url>
<url><loc>https://korshunov.ai/id/article/17767-altk-evolve-mencapai-akurasi-yang-sama-atau-lebih-baik-daripada-ace-dengan-biaya/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>id</news:language></news:publication><news:publication_date>2026-08-11T14:33:02.613181+00:00</news:publication_date><news:title>ALTK-Evolve mencapai akurasi yang sama atau lebih baik daripada ACE dengan biaya inferensi jauh lebih rendah</news:title></news:news></url>
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<url><loc>https://korshunov.ai/hi/article/17755-masters-maasking-ttiicr-aur-sttuuddentt-ko-riinphorsing-ke-jrie-vijn-laingvej-ko/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>hi</news:language></news:publication><news:publication_date>2026-08-11T11:01:52.841769+00:00</news:publication_date><news:title>Masters मास्किंग टीचर और स्टूडेंट को रिइन्फोर्सिंग के जरिए विजन-लैंग्वेज मॉडल्स को डिस्टिल करता है</news:title></news:news></url>
<url><loc>https://korshunov.ai/ja/article/17755-mastershamasukinkujiao-shi-toqiang-hua-xue-sheng-niyorihishiyonyan-yu-liu-suru/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ja</news:language></news:publication><news:publication_date>2026-08-11T11:01:52.841769+00:00</news:publication_date><news:title>Mastersはマスキング教師と強化学生によりビジョン言語モデルを蒸留する</news:title></news:news></url>
<url><loc>https://korshunov.ai/ko/article/17755-mastersneun-maseuking-gyosawa-ganghwa-hagsaengeul-tonghae-bijeon-eoneo-modeleul/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ko</news:language></news:publication><news:publication_date>2026-08-11T11:01:52.841769+00:00</news:publication_date><news:title>Masters는 마스킹 교사와 강화 학생을 통해 비전-언어 모델을 증류합니다</news:title></news:news></url>
<url><loc>https://korshunov.ai/fr/article/17755-masters-distille-les-modeles-vision-langage-via-le-masquage-du-professeur-et-le/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>fr</news:language></news:publication><news:publication_date>2026-08-11T11:01:52.841769+00:00</news:publication_date><news:title>Masters distille les modèles vision-langage via le masquage du professeur et le renforcement de l'étudiant</news:title></news:news></url>
<url><loc>https://korshunov.ai/id/article/17755-masters-mendistilasi-model-visi-bahasa-melalui-guru-masker-dan-penguatan-siswa/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>id</news:language></news:publication><news:publication_date>2026-08-11T11:01:52.841769+00:00</news:publication_date><news:title>Masters mendistilasi model visi-bahasa melalui guru masker dan penguatan siswa</news:title></news:news></url>
<url><loc>https://korshunov.ai/ar/article/17755-masters-yukthwf-nmdhj-lrwy-wllg-br-qn-lm-lm-wt-zyz-ltlb/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ar</news:language></news:publication><news:publication_date>2026-08-11T11:01:52.841769+00:00</news:publication_date><news:title>Masters يُكثّف نماذج الرؤية واللغة عبر قناع المعلم وتعزيز الطالب</news:title></news:news></url>
<url><loc>https://korshunov.ai/zh-hans/article/17754-dstp-huan-jie-fu-za-mllm-tui-li-zhong-shi-jue-ling-pai-jian-zhi-de-shi-bai/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>zh-cn</news:language></news:publication><news:publication_date>2026-08-11T10:45:00.017168+00:00</news:publication_date><news:title>DSTP 缓解复杂 MLLM 推理中视觉令牌剪枝的失败</news:title></news:news></url>
<url><loc>https://korshunov.ai/en/article/17754-dstp-mitigates-visual-token-pruning-failures-in-complex-mllm-reasoning/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>en</news:language></news:publication><news:publication_date>2026-08-11T10:45:00.017168+00:00</news:publication_date><news:title>DSTP mitigates visual token pruning failures in complex MLLM reasoning</news:title></news:news></url>
<url><loc>https://korshunov.ai/ru/article/17754-dstp-ustraniaet-sboi-pri-otsechenii-vizualnykh-tokenov-v-slozhnykh-zadachakh/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ru</news:language></news:publication><news:publication_date>2026-08-11T10:45:00.017168+00:00</news:publication_date><news:title>DSTP устраняет сбои при отсечении визуальных токенов в сложных задачах рассуждения MLLM</news:title></news:news></url>
<url><loc>https://korshunov.ai/es/article/17754-dstp-mitiga-fallos-en-la-poda-de-tokens-visuales-en-el-razonamiento-complejo-de/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>es</news:language></news:publication><news:publication_date>2026-08-11T10:45:00.017168+00:00</news:publication_date><news:title>DSTP mitiga fallos en la poda de tokens visuales en el razonamiento complejo de MLLM</news:title></news:news></url>
<url><loc>https://korshunov.ai/pt-br/article/17754-dstp-mitiga-falhas-na-poda-de-tokens-visuais-no-raciocinio-complexo-de-mllm/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>pt</news:language></news:publication><news:publication_date>2026-08-11T10:45:00.017168+00:00</news:publication_date><news:title>DSTP mitiga falhas na poda de tokens visuais no raciocínio complexo de MLLM</news:title></news:news></url>
<url><loc>https://korshunov.ai/hi/article/17754-dstp-jttil-mllm-trk-men-drshy-ttokn-pruuning-viphltaaon-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>2026-08-11T10:45:00.017168+00:00</news:publication_date><news:title>DSTP जटिल MLLM तर्क में दृश्य टोकन प्रूनिंग विफलताओं को कम करता है</news:title></news:news></url>
<url><loc>https://korshunov.ai/ja/article/17754-dstpkafu-za-namllmtui-lun-niokerushi-jue-to-kunhuru-ninkunoshi-bai-wohuan-he/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ja</news:language></news:publication><news:publication_date>2026-08-11T10:45:00.017168+00:00</news:publication_date><news:title>DSTPが複雑なMLLM推論における視覚トークンプルーニングの失敗を緩和</news:title></news:news></url>
<url><loc>https://korshunov.ai/ko/article/17754-dstpga-bogjabhan-mllm-curoneseo-sigagjeog-tokeun-gajicigi-silpaereul/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ko</news:language></news:publication><news:publication_date>2026-08-11T10:45:00.017168+00:00</news:publication_date><news:title>DSTP가 복잡한 MLLM 추론에서 시각적 토큰 가지치기 실패를 완화합니다</news:title></news:news></url>
<url><loc>https://korshunov.ai/fr/article/17754-dstp-attenue-les-echecs-de-l-elagage-des-tokens-visuels-dans-le-raisonnement-des/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>fr</news:language></news:publication><news:publication_date>2026-08-11T10:45:00.017168+00:00</news:publication_date><news:title>DSTP atténue les échecs de l'élagage des tokens visuels dans le raisonnement complexe des MLLM</news:title></news:news></url>
<url><loc>https://korshunov.ai/id/article/17754-dstp-meredam-kegagalan-pemangkasan-token-visual-dalam-penalaran-mllm-yang/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>id</news:language></news:publication><news:publication_date>2026-08-11T10:45:00.017168+00:00</news:publication_date><news:title>DSTP meredam kegagalan pemangkasan token visual dalam penalaran MLLM yang kompleks</news:title></news:news></url>
<url><loc>https://korshunov.ai/ar/article/17754-ykhff-dstp-mn-fshl-tqlym-lrmwz-lbsry-fy-lstdll-lm-qd-lnmdhj-mllm/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ar</news:language></news:publication><news:publication_date>2026-08-11T10:45:00.017168+00:00</news:publication_date><news:title>يخفف DSTP من فشل تقليم الرموز البصرية في الاستدلال المعقد لنماذج MLLM</news:title></news:news></url>
<url><loc>https://korshunov.ai/ko/article/17753-genrecaleun-jaebojeongeul-tonghae-daegyumo-bijeon-eoneo-modeleul-sogyumo-modelro/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ko</news:language></news:publication><news:publication_date>2026-08-11T10:37:10.713058+00:00</news:publication_date><news:title>GenRecal은 재보정을 통해 대규모 비전-언어 모델을 소규모 모델로 증류합니다</news:title></news:news></url>
<url><loc>https://korshunov.ai/fr/article/17753-genrecal-distille-de-grands-modeles-vision-langage-en-petits-par-recalibration/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>fr</news:language></news:publication><news:publication_date>2026-08-11T10:37:10.713058+00:00</news:publication_date><news:title>GenRecal distille de grands modèles vision-langage en petits par recalibration</news:title></news:news></url>
<url><loc>https://korshunov.ai/id/article/17753-genrecal-mendistilasi-model-visi-bahasa-besar-ke-yang-lebih-kecil-melalui/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>id</news:language></news:publication><news:publication_date>2026-08-11T10:37:10.713058+00:00</news:publication_date><news:title>GenRecal mendistilasi model visi-bahasa besar ke yang lebih kecil melalui rekalsibrasi</news:title></news:news></url>
<url><loc>https://korshunov.ai/ar/article/17753-yqwm-genrecal-btqtyr-nmdhj-lrwy-wllg-lkbyr-l-sgyr-br-d-m-yr/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ar</news:language></news:publication><news:publication_date>2026-08-11T10:37:10.713058+00:00</news:publication_date><news:title>يقوم GenRecal بتقطير نماذج الرؤية واللغة الكبيرة إلى صغيرة عبر إعادة معايرة</news:title></news:news></url>
<url><loc>https://korshunov.ai/en/article/17753-genrecal-distills-large-vision-language-models-to-small-ones-via-recalibration/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>en</news:language></news:publication><news:publication_date>2026-08-11T10:37:10.713058+00:00</news:publication_date><news:title>GenRecal distills large vision-language models to small ones via recalibration</news:title></news:news></url>
<url><loc>https://korshunov.ai/ru/article/17753-genrecal-distilliruet-krupnye-modeli-zreniia-i-iazyka-v-melkie-posredstvom/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ru</news:language></news:publication><news:publication_date>2026-08-11T10:37:10.713058+00:00</news:publication_date><news:title>GenRecal дистиллирует крупные модели зрения и языка в мелкие посредством перекалибровки</news:title></news:news></url>
<url><loc>https://korshunov.ai/es/article/17753-genrecal-destila-grandes-modelos-de-vision-y-lenguaje-en-pequenos-mediante/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>es</news:language></news:publication><news:publication_date>2026-08-11T10:37:10.713058+00:00</news:publication_date><news:title>GenRecal destila grandes modelos de visión y lenguaje en pequeños mediante recalibración</news:title></news:news></url>
<url><loc>https://korshunov.ai/zh-hans/article/17753-genrecal-tong-guo-zhong-xin-xiao-zhun-jiang-da-xing-shi-jue-yu-yan-mo-xing-zheng/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>zh-cn</news:language></news:publication><news:publication_date>2026-08-11T10:37:10.713058+00:00</news:publication_date><news:title>GenRecal 通过重新校准将大型视觉-语言模型蒸馏为小型模型</news:title></news:news></url>
<url><loc>https://korshunov.ai/pt-br/article/17753-genrecal-destila-grandes-modelos-de-visao-e-linguagem-em-pequenos-por-meio-de/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>pt</news:language></news:publication><news:publication_date>2026-08-11T10:37:10.713058+00:00</news:publication_date><news:title>GenRecal destila grandes modelos de visão e linguagem em pequenos por meio de recalibração</news:title></news:news></url>
<url><loc>https://korshunov.ai/hi/article/17753-genrecal-punh-kailibreshn-ke-maadhym-se-bdde-vijn-laingvej-monddlon-ko-chotte/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>hi</news:language></news:publication><news:publication_date>2026-08-11T10:37:10.713058+00:00</news:publication_date><news:title>GenRecal पुनः कैलिब्रेशन के माध्यम से बड़े विज़न-लैंग्वेज मॉडलों को छोटे मॉडलों में डिस्टिल करता है</news:title></news:news></url>
<url><loc>https://korshunov.ai/ja/article/17753-genrecalhazai-jiao-zheng-niyorida-gui-mo-hishiyon-yan-yu-moteruwoxiao-gui-mo-liu/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ja</news:language></news:publication><news:publication_date>2026-08-11T10:37:10.713058+00:00</news:publication_date><news:title>GenRecalは再較正により大規模ビジョン・言語モデルを小規模モデルに蒸留する</news:title></news:news></url>
<url><loc>https://korshunov.ai/zh-hans/article/17752-zppo-shi-yong-ti-shi-er-fei-ti-du-lai-gai-jin-xiao-xing-shi-jue-yu-yan-mo-xing/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>zh-cn</news:language></news:publication><news:publication_date>2026-08-11T10:29:27.566640+00:00</news:publication_date><news:title>ZPPO 使用提示而非梯度来改进小型视觉语言模型的训练</news:title></news:news></url>
<url><loc>https://korshunov.ai/en/article/17752-zppo-uses-prompts-instead-of-gradients-to-improve-small-vision-language-model/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>en</news:language></news:publication><news:publication_date>2026-08-11T10:29:27.566640+00:00</news:publication_date><news:title>ZPPO uses prompts instead of gradients to improve small vision-language model training</news:title></news:news></url>
<url><loc>https://korshunov.ai/ru/article/17752-zppo-ispolzuet-prompty-vmesto-gradientov-dlia-uluchsheniia-obucheniia-malykh/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ru</news:language></news:publication><news:publication_date>2026-08-11T10:29:27.566640+00:00</news:publication_date><news:title>ZPPO использует промпты вместо градиентов для улучшения обучения малых зрительно-языковых моделей</news:title></news:news></url>
<url><loc>https://korshunov.ai/es/article/17752-zppo-utiliza-prompts-en-lugar-de-gradientes-para-mejorar-el-entrenamiento-de/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>es</news:language></news:publication><news:publication_date>2026-08-11T10:29:27.566640+00:00</news:publication_date><news:title>ZPPO utiliza prompts en lugar de gradientes para mejorar el entrenamiento de modelos visiolingüísticos pequeños</news:title></news:news></url>
<url><loc>https://korshunov.ai/pt-br/article/17752-zppo-usa-prompts-em-vez-de-gradientes-para-melhorar-o-treinamento-de-modelos-de/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>pt</news:language></news:publication><news:publication_date>2026-08-11T10:29:27.566640+00:00</news:publication_date><news:title>ZPPO usa prompts em vez de gradientes para melhorar o treinamento de modelos pequenos de visão e linguagem</news:title></news:news></url>
<url><loc>https://korshunov.ai/hi/article/17752-zppo-chotte-vijn-laingvej-monddl-prshikssnn-ko-behtr-bnaane-ke-lie-greddientt-ke/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>hi</news:language></news:publication><news:publication_date>2026-08-11T10:29:27.566640+00:00</news:publication_date><news:title>ZPPO छोटे विज़न-लैंग्वेज मॉडल प्रशिक्षण को बेहतर बनाने के लिए ग्रेडिएंट के बजाय प्रॉम्प्ट का उपयोग करता है</news:title></news:news></url>
<url><loc>https://korshunov.ai/ja/article/17752-zppohagou-pei-nodai-warinihuronhutowoshi-yong-shite-xiao-gui-mo-nahishiyonyan-yu/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ja</news:language></news:publication><news:publication_date>2026-08-11T10:29:27.566640+00:00</news:publication_date><news:title>ZPPOは勾配の代わりにプロンプトを使用して、小規模なビジョン言語モデルのトレーニングを改善する</news:title></news:news></url>
<url><loc>https://korshunov.ai/ko/article/17752-zpponeun-jageun-bijeon-eoneo-model-hagseubeul-gaeseonhagi-wihae-geuraedieonteu/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ko</news:language></news:publication><news:publication_date>2026-08-11T10:29:27.566640+00:00</news:publication_date><news:title>ZPPO는 작은 비전-언어 모델 학습을 개선하기 위해 그래디언트 대신 프롬프트를 사용한다</news:title></news:news></url>
<url><loc>https://korshunov.ai/fr/article/17752-zppo-utilise-des-invites-au-lieu-de-gradients-pour-ameliorer-l-entrainement-de/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>fr</news:language></news:publication><news:publication_date>2026-08-11T10:29:27.566640+00:00</news:publication_date><news:title>ZPPO utilise des invites au lieu de gradients pour améliorer l'entraînement de petits modèles vision-langage</news:title></news:news></url>
<url><loc>https://korshunov.ai/id/article/17752-zppo-menggunakan-prompt-alih-alih-gradien-untuk-meningkatkan-pelatihan-model/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>id</news:language></news:publication><news:publication_date>2026-08-11T10:29:27.566640+00:00</news:publication_date><news:title>ZPPO menggunakan prompt alih-alih gradien untuk meningkatkan pelatihan model visi-bahasa kecil</news:title></news:news></url>
<url><loc>https://korshunov.ai/ar/article/17752-ystkhdm-zppo-lmtlbt-bdlan-mn-ltdrjt-lthsyn-tdryb-nmdhj-lrwy-wllg-lsgyr/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ar</news:language></news:publication><news:publication_date>2026-08-11T10:29:27.566640+00:00</news:publication_date><news:title>يستخدم ZPPO المطالبات بدلاً من التدرجات لتحسين تدريب نماذج الرؤية واللغة الصغيرة</news:title></news:news></url>
<url><loc>https://korshunov.ai/hi/article/17751-hide-to-see-ne-vlm-ddisttileshn-ke-lie-trk-puurvakssr-maasking-pesh-kii/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>hi</news:language></news:publication><news:publication_date>2026-08-11T10:10:47.279179+00:00</news:publication_date><news:title>Hide to See ने VLM डिस्टिलेशन के लिए तर्क-पूर्वअक्षर मास्किंग पेश की</news:title></news:news></url>
<url><loc>https://korshunov.ai/en/article/17751-hide-to-see-introduces-reasoning-prefix-masking-for-vlm-distillation/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>en</news:language></news:publication><news:publication_date>2026-08-11T10:10:47.279179+00:00</news:publication_date><news:title>Hide to See introduces reasoning-prefix masking for VLM distillation</news:title></news:news></url>
<url><loc>https://korshunov.ai/ru/article/17751-hide-to-see-predstavliaet-maskirovanie-prefiksa-rassuzhdeniia-dlia-distilliatsii/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ru</news:language></news:publication><news:publication_date>2026-08-11T10:10:47.279179+00:00</news:publication_date><news:title>Hide to See представляет маскирование префикса рассуждения для дистилляции VLM</news:title></news:news></url>
<url><loc>https://korshunov.ai/es/article/17751-hide-to-see-introduce-enmascaramiento-de-prefijo-de-razonamiento-para-vlm/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>es</news:language></news:publication><news:publication_date>2026-08-11T10:10:47.279179+00:00</news:publication_date><news:title>Hide to See introduce enmascaramiento de prefijo de razonamiento para destilación VLM</news:title></news:news></url>
<url><loc>https://korshunov.ai/zh-hans/article/17751-hide-to-see-yin-ru-yong-yu-vlm-zheng-liu-de-tui-li-qian-zhui-yan-ma/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>zh-cn</news:language></news:publication><news:publication_date>2026-08-11T10:10:47.279179+00:00</news:publication_date><news:title>Hide to See 引入用于 VLM 蒸馏的推理前缀掩码</news:title></news:news></url>
<url><loc>https://korshunov.ai/pt-br/article/17751-hide-to-see-introduz-mascaramento-de-prefixo-de-raciocinio-para-destilacao-de/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>pt</news:language></news:publication><news:publication_date>2026-08-11T10:10:47.279179+00:00</news:publication_date><news:title>Hide to See introduz mascaramento de prefixo de raciocínio para destilação de VLM</news:title></news:news></url>
<url><loc>https://korshunov.ai/ja/article/17751-hide-to-see-ha-vlm-zheng-liu-notamenotui-lun-jie-tou-ci-masukinkuwodao-ru/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ja</news:language></news:publication><news:publication_date>2026-08-11T10:10:47.279179+00:00</news:publication_date><news:title>Hide to See は VLM 蒸留のための推論接頭辞マスキングを導入</news:title></news:news></url>
<url><loc>https://korshunov.ai/ko/article/17751-hide-to-seeneun-vlm-jeungryuyong-curon-jeobdusa-maseukingeul-doibhabnida/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ko</news:language></news:publication><news:publication_date>2026-08-11T10:10:47.279179+00:00</news:publication_date><news:title>Hide to See는 VLM 증류용 추론 접두사 마스킹을 도입합니다</news:title></news:news></url>
<url><loc>https://korshunov.ai/fr/article/17751-hide-to-see-introduit-le-masquage-du-prefixe-de-raisonnement-pour-la-vlm/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>fr</news:language></news:publication><news:publication_date>2026-08-11T10:10:47.279179+00:00</news:publication_date><news:title>Hide to See introduit le masquage du préfixe de raisonnement pour la distillation VLM</news:title></news:news></url>
<url><loc>https://korshunov.ai/id/article/17751-hide-to-see-memperkenalkan-masking-prefix-penalaran-untuk-distilasi-vlm/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>id</news:language></news:publication><news:publication_date>2026-08-11T10:10:47.279179+00:00</news:publication_date><news:title>Hide to See memperkenalkan masking prefix penalaran untuk distilasi VLM</news:title></news:news></url>
<url><loc>https://korshunov.ai/ar/article/17751-hide-to-see-tqdm-qn-bdy-lstdll-ltqtyr-vlm/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ar</news:language></news:publication><news:publication_date>2026-08-11T10:10:47.279179+00:00</news:publication_date><news:title>Hide to See تقدم قناع بادئة الاستدلال لتقطير VLM</news:title></news:news></url>
<url><loc>https://korshunov.ai/en/article/17750-spatialclaw-uses-code-as-action-interface-for-agentic-spatial-reasoning/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>en</news:language></news:publication><news:publication_date>2026-08-11T10:02:35.074412+00:00</news:publication_date><news:title>SpatialClaw uses code as action interface for agentic spatial reasoning</news:title></news:news></url>
<url><loc>https://korshunov.ai/ru/article/17750-spatialclaw-ispolzuet-kod-kak-interfeis-deistvii-dlia-agentnogo-rassuzhdeniia/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ru</news:language></news:publication><news:publication_date>2026-08-11T10:02:35.074412+00:00</news:publication_date><news:title>SpatialClaw использует код как интерфейс действий для агентного пространственного рассуждения</news:title></news:news></url>
<url><loc>https://korshunov.ai/es/article/17750-spatialclaw-utiliza-codigo-como-interfaz-de-accion-para-el-razonamiento-espacial/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>es</news:language></news:publication><news:publication_date>2026-08-11T10:02:35.074412+00:00</news:publication_date><news:title>SpatialClaw utiliza código como interfaz de acción para el razonamiento espacial agéntico</news:title></news:news></url>
<url><loc>https://korshunov.ai/zh-hans/article/17750-spatialclaw-shi-yong-dai-ma-zuo-wei-zhi-neng-ti-kong-jian-tui-li-de-dong-zuo-jie/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>zh-cn</news:language></news:publication><news:publication_date>2026-08-11T10:02:35.074412+00:00</news:publication_date><news:title>SpatialClaw 使用代码作为智能体空间推理的动作接口</news:title></news:news></url>
<url><loc>https://korshunov.ai/pt-br/article/17750-spatialclaw-usa-codigo-como-interface-de-acao-para-raciocinio-espacial-agentico/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>pt</news:language></news:publication><news:publication_date>2026-08-11T10:02:35.074412+00:00</news:publication_date><news:title>SpatialClaw usa código como interface de ação para raciocínio espacial agêntico</news:title></news:news></url>
<url><loc>https://korshunov.ai/hi/article/17750-spatialclaw-ejenttik-sthaanik-trk-ke-lie-kriyaa-inttrphes-ke-ruup-men-kodd-kaa/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>hi</news:language></news:publication><news:publication_date>2026-08-11T10:02:35.074412+00:00</news:publication_date><news:title>SpatialClaw एजेंटिक स्थानिक तर्क के लिए क्रिया इंटरफ़ेस के रूप में कोड का उपयोग करता है</news:title></news:news></url>
<url><loc>https://korshunov.ai/ja/article/17750-spatialclawhae-shientokong-jian-tui-lun-notamenoakushiyoninta-hue-sutoshiteko/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ja</news:language></news:publication><news:publication_date>2026-08-11T10:02:35.074412+00:00</news:publication_date><news:title>SpatialClawはエージェント空間推論のためのアクションインターフェースとしてコードを使用</news:title></news:news></url>
<url><loc>https://korshunov.ai/ko/article/17750-spatialclawneun-eijeonteu-gonggan-curoneul-wihae-kodeureul-aegsyeon-sayong/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ko</news:language></news:publication><news:publication_date>2026-08-11T10:02:35.074412+00:00</news:publication_date><news:title>SpatialClaw는 에이전트 공간 추론을 위해 코드를 액션 인터페이스로 사용</news:title></news:news></url>
<url><loc>https://korshunov.ai/fr/article/17750-spatialclaw-utilise-le-code-comme-interface-d-action-pour-le-raisonnement/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>fr</news:language></news:publication><news:publication_date>2026-08-11T10:02:35.074412+00:00</news:publication_date><news:title>SpatialClaw utilise le code comme interface d'action pour le raisonnement spatial agentique</news:title></news:news></url>
<url><loc>https://korshunov.ai/id/article/17750-spatialclaw-menggunakan-kode-sebagai-antarmuka-aksi-untuk-penalaran-spasial/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>id</news:language></news:publication><news:publication_date>2026-08-11T10:02:35.074412+00:00</news:publication_date><news:title>SpatialClaw menggunakan kode sebagai antarmuka aksi untuk penalaran spasial agentic</news:title></news:news></url>
<url><loc>https://korshunov.ai/ar/article/17750-ystkhdm-spatialclaw-lkwd-kwjh-jr-llstdll-lmkny-lwkyl/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ar</news:language></news:publication><news:publication_date>2026-08-11T10:02:35.074412+00:00</news:publication_date><news:title>يستخدم SpatialClaw الكود كواجهة إجراء للاستدلال المكاني الوكيل</news:title></news:news></url>
<url><loc>https://korshunov.ai/en/article/17749-axpo-improves-multimodal-agentic-reasoning-by-fixing-the-thinking-acting-gap/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>en</news:language></news:publication><news:publication_date>2026-08-11T09:53:58.669949+00:00</news:publication_date><news:title>AXPO improves multimodal agentic reasoning by fixing the Thinking-Acting Gap</news:title></news:news></url>
<url><loc>https://korshunov.ai/ru/article/17749-axpo-uluchshaet-multimodalnoe-agentnoe-rassuzhdenie-ustraniaia-razryv-mezhdu-i/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ru</news:language></news:publication><news:publication_date>2026-08-11T09:53:58.669949+00:00</news:publication_date><news:title>AXPO улучшает мультимодальное агентное рассуждение, устраняя разрыв между мышлением и действием</news:title></news:news></url>
<url><loc>https://korshunov.ai/es/article/17749-axpo-mejora-el-razonamiento-agenico-multimodal-corrigiendo-la-brecha-entre-y/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>es</news:language></news:publication><news:publication_date>2026-08-11T09:53:58.669949+00:00</news:publication_date><news:title>AXPO mejora el razonamiento agénico multimodal corrigiendo la brecha entre pensar y actuar</news:title></news:news></url>
<url><loc>https://korshunov.ai/zh-hans/article/17749-axpotong-guo-xiu-fu-si-kao-xing-dong-chai-ju-ti-sheng-duo-mo-tai-zhi-neng-ti-tui/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>zh-cn</news:language></news:publication><news:publication_date>2026-08-11T09:53:58.669949+00:00</news:publication_date><news:title>AXPO通过修复思考-行动差距提升多模态智能体推理能力</news:title></news:news></url>
<url><loc>https://korshunov.ai/pt-br/article/17749-axpo-melhora-o-raciocinio-agentico-multimodal-corrigindo-a-lacuna-entre-e-acao/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>pt</news:language></news:publication><news:publication_date>2026-08-11T09:53:58.669949+00:00</news:publication_date><news:title>AXPO melhora o raciocínio agêntico multimodal corrigindo a Lacuna entre Pensamento e Ação</news:title></news:news></url>
<url><loc>https://korshunov.ai/hi/article/17749-axpo-ne-thinking-ektting-gaip-ko-tthiik-krke-mlttiimoddl-ejenttik-riijning-men/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>hi</news:language></news:publication><news:publication_date>2026-08-11T09:53:58.669949+00:00</news:publication_date><news:title>AXPO ने थिंकिंग-एक्टिंग गैप को ठीक करके मल्टीमोडल एजेंटिक रीजनिंग में सुधार किया</news:title></news:news></url>
<url><loc>https://korshunov.ai/ja/article/17749-axpo-si-kao-toxing-dong-nokiyatsuhuwoxiu-zheng-surukototemaruchimo-tarue-lun/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ja</news:language></news:publication><news:publication_date>2026-08-11T09:53:58.669949+00:00</news:publication_date><news:title>AXPO、思考と行動のギャップを修正することでマルチモーダルエージェント推論を改善</news:title></news:news></url>
<url><loc>https://korshunov.ai/ko/article/17749-axpo-sago-haengdong-gangeugeul-sujeonghayeo-dajungmodal-eijeonteu-curon-gaeseon/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ko</news:language></news:publication><news:publication_date>2026-08-11T09:53:58.669949+00:00</news:publication_date><news:title>AXPO, 사고-행동 간극을 수정하여 다중모달 에이전트 추론 개선</news:title></news:news></url>
<url><loc>https://korshunov.ai/fr/article/17749-axpo-ameliore-le-raisonnement-agentique-multimodal-en-comblant-l-ecart-entre-et/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>fr</news:language></news:publication><news:publication_date>2026-08-11T09:53:58.669949+00:00</news:publication_date><news:title>AXPO améliore le raisonnement agentique multimodal en comblant l'écart entre réflexion et action</news:title></news:news></url>
<url><loc>https://korshunov.ai/id/article/17749-axpo-meningkatkan-penalaran-agentic-multimodal-dengan-memperbaiki-kesenjangan/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>id</news:language></news:publication><news:publication_date>2026-08-11T09:53:58.669949+00:00</news:publication_date><news:title>AXPO meningkatkan penalaran agentic multimodal dengan memperbaiki Kesenjangan Berpikir-Bertindak</news:title></news:news></url>
<url><loc>https://korshunov.ai/ar/article/17749-thswn-axpo-llstdll-lwkyl-mt-dd-lwsyt-br-sd-fjw-ltfkyr-ltnfydh/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ar</news:language></news:publication><news:publication_date>2026-08-11T09:53:58.669949+00:00</news:publication_date><news:title>تحسّن AXPO للاستدلال الوكيل متعدد الوسائط عبر سد فجوة التفكير-التنفيذ</news:title></news:news></url>
<url><loc>https://korshunov.ai/en/article/17744-webai-releases-twil-lm-a-1-7b-and-3b-formal-logic-model-family-for-local/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>en</news:language></news:publication><news:publication_date>2026-08-11T09:30:44.989196+00:00</news:publication_date><news:title>webAI releases TwIL-LM, a 1.7B and 3B formal-logic model family for local autoformalization</news:title></news:news></url>
<url><loc>https://korshunov.ai/ru/article/17744-webai-vypuskaet-twil-lm-semeistvo-formalno-logicheskikh-modelei-na-17b-i-3b-dlia/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ru</news:language></news:publication><news:publication_date>2026-08-11T09:30:44.989196+00:00</news:publication_date><news:title>webAI выпускает TwIL-LM — семейство формально-логических моделей на 1,7B и 3B параметров для локальной автоформализации</news:title></news:news></url>
<url><loc>https://korshunov.ai/es/article/17744-webai-lanza-twil-lm-una-familia-de-modelos-de-logica-formal-de-1-7b-y-3b-para/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>es</news:language></news:publication><news:publication_date>2026-08-11T09:30:44.989196+00:00</news:publication_date><news:title>webAI lanza TwIL-LM, una familia de modelos de lógica formal de 1.7B y 3B para autoformalización local</news:title></news:news></url>
<url><loc>https://korshunov.ai/zh-hans/article/17744-webaifa-bu-twil-lm-mian-xiang-ben-di-zi-dong-xing-shi-hua-de-1-7bhe-3bxing-shi/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>zh-cn</news:language></news:publication><news:publication_date>2026-08-11T09:30:44.989196+00:00</news:publication_date><news:title>webAI发布TwIL-LM，面向本地自动形式化的1.7B和3B形式逻辑模型系列</news:title></news:news></url>
<url><loc>https://korshunov.ai/pt-br/article/17744-webai-lanca-twil-lm-uma-familia-de-modelos-de-logica-formal-de-1-7b-e-3b-para/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>pt</news:language></news:publication><news:publication_date>2026-08-11T09:30:44.989196+00:00</news:publication_date><news:title>webAI lança TwIL-LM, uma família de modelos de lógica formal de 1.7B e 3B para autoformalização local</news:title></news:news></url>
<url><loc>https://korshunov.ai/hi/article/17744-webai-ne-sthaaniiy-onttophonrmlaaijeshn-ke-lie-1-7b-aur-3b-phonrml-lonjik-monddl/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>hi</news:language></news:publication><news:publication_date>2026-08-11T09:30:44.989196+00:00</news:publication_date><news:title>webAI ने स्थानीय ऑटोफॉर्मलाइजेशन के लिए 1.7B और 3B फॉर्मल-लॉजिक मॉडल परिवार TwIL-LM जारी किया</news:title></news:news></url>
<url><loc>https://korshunov.ai/ja/article/17744-webaikaro-karuzi-dong-xing-shi-hua-xiang-keno1-7boyohi3bnoxing-shi-lun-li-twil/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ja</news:language></news:publication><news:publication_date>2026-08-11T09:30:44.989196+00:00</news:publication_date><news:title>webAIがローカル自動形式化向けの1.7Bおよび3Bの形式論理モデルファミリー「TwIL-LM」をリリース</news:title></news:news></url>
<url><loc>https://korshunov.ai/ko/article/17744-webaiga-rokeol-jadong-hyeongsighwareul-wihan-1-7b-mic-3b-gongsig-nonri-model-lm/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ko</news:language></news:publication><news:publication_date>2026-08-11T09:30:44.989196+00:00</news:publication_date><news:title>webAI가 로컬 자동 형식화를 위한 1.7B 및 3B 공식 논리 모델 패밀리 TwIL-LM 출시</news:title></news:news></url>
<url><loc>https://korshunov.ai/fr/article/17744-webai-publie-twil-lm-une-famille-de-modeles-de-logique-formelle-de-17b-et-3b-l/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>fr</news:language></news:publication><news:publication_date>2026-08-11T09:30:44.989196+00:00</news:publication_date><news:title>webAI publie TwIL-LM, une famille de modèles de logique formelle de 1,7B et 3B pour l'auto-formalisation locale</news:title></news:news></url>
<url><loc>https://korshunov.ai/id/article/17744-webai-merilis-twil-lm-keluarga-model-logika-formal-berukuran-17b-dan-3b-untuk/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>id</news:language></news:publication><news:publication_date>2026-08-11T09:30:44.989196+00:00</news:publication_date><news:title>webAI merilis TwIL-LM, keluarga model logika formal berukuran 1,7B dan 3B untuk autoformalisasi lokal</news:title></news:news></url>
<url><loc>https://korshunov.ai/ar/article/17744-wyb-y-y-ttlq-yl-nmdhj-twil-lm-lmntqy-lrsmy-bhjm-1-7b-w3b-lltshkyl-ltlqyy-lmhly/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ar</news:language></news:publication><news:publication_date>2026-08-11T09:30:44.989196+00:00</news:publication_date><news:title>ويب أي آي تطلق عائلة نماذج TwIL-LM المنطقية الرسمية بحجم 1.7B و3B للتشكيل التلقائي المحلي</news:title></news:news></url>
<url><loc>https://korshunov.ai/en/article/17735-meta-releases-muse-glimmer-30b-open-weight-model-anthropic-improves-riemann/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>en</news:language></news:publication><news:publication_date>2026-08-11T08:50:44.041940+00:00</news:publication_date><news:title>Meta releases Muse Glimmer 30B open-weight model; Anthropic improves Riemann bound</news:title></news:news></url>
<url><loc>https://korshunov.ai/ru/article/17735-meta-vypustila-model-s-otkrytymi-vesami-muse-glimmer-30b-anthropic-uluchshila/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ru</news:language></news:publication><news:publication_date>2026-08-11T08:50:44.041940+00:00</news:publication_date><news:title>Meta выпустила модель с открытыми весами Muse Glimmer 30B; Anthropic улучшила оценку для гипотезы Римана</news:title></news:news></url>
<url><loc>https://korshunov.ai/es/article/17735-meta-lanza-el-modelo-de-peso-abierto-muse-glimmer-30b-anthropic-mejora-la-cota/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>es</news:language></news:publication><news:publication_date>2026-08-11T08:50:44.041940+00:00</news:publication_date><news:title>Meta lanza el modelo de peso abierto Muse Glimmer 30B; Anthropic mejora la cota inferior de Riemann</news:title></news:news></url>
<url><loc>https://korshunov.ai/zh-hans/article/17735-metafa-bu-muse-glimmer-30bkai-yuan-quan-zhong-mo-xing-anthropicgai-jin-li-man/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>zh-cn</news:language></news:publication><news:publication_date>2026-08-11T08:50:44.041940+00:00</news:publication_date><news:title>Meta发布Muse Glimmer 30B开源权重模型；Anthropic改进黎曼边界</news:title></news:news></url>
<url><loc>https://korshunov.ai/pt-br/article/17735-meta-lanca-modelo-de-pesos-abertos-muse-glimmer-30b-anthropic-melhora-limite-de/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>pt</news:language></news:publication><news:publication_date>2026-08-11T08:50:44.041940+00:00</news:publication_date><news:title>Meta lança modelo de pesos abertos Muse Glimmer 30B; Anthropic melhora limite de Riemann</news:title></news:news></url>
<url><loc>https://korshunov.ai/hi/article/17735-mettaa-ne-muse-glimmer-30b-opn-vett-monddl-jaarii-kiyaa-anthropic-ne-riemann-men/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>hi</news:language></news:publication><news:publication_date>2026-08-11T08:50:44.041940+00:00</news:publication_date><news:title>मेटा ने Muse Glimmer 30B ओपन-वेट मॉडल जारी किया; Anthropic ने Riemann बॉउंड में सुधार किया</news:title></news:news></url>
<url><loc>https://korshunov.ai/ja/article/17735-metakamuse-glimmer-30bnoo-hunueitomoteruworiri-su-anthropickari-mannojing-jie/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ja</news:language></news:publication><news:publication_date>2026-08-11T08:50:44.041940+00:00</news:publication_date><news:title>MetaがMuse Glimmer 30Bのオープンウェイトモデルをリリース、Anthropicがリーマンの境界を改善</news:title></news:news></url>
<url><loc>https://korshunov.ai/ko/article/17735-meta-muse-glimmer-30b-opeun-gajungci-model-culsi-anthropic-riman-gyeonggye/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ko</news:language></news:publication><news:publication_date>2026-08-11T08:50:44.041940+00:00</news:publication_date><news:title>Meta, Muse Glimmer 30B 오픈 가중치 모델 출시; Anthropic, 리만 경계 개선</news:title></news:news></url>
<url><loc>https://korshunov.ai/fr/article/17735-meta-publie-le-modele-a-poids-ouverts-muse-glimmer-30b-anthropic-ameliore-la-de/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>fr</news:language></news:publication><news:publication_date>2026-08-11T08:50:44.041940+00:00</news:publication_date><news:title>Meta publie le modèle à poids ouverts Muse Glimmer 30B ; Anthropic améliore la borne de Riemann</news:title></news:news></url>
<url><loc>https://korshunov.ai/id/article/17735-meta-merilis-model-open-weight-muse-glimmer-30b-anthropic-meningkatkan-batas/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>id</news:language></news:publication><news:publication_date>2026-08-11T08:50:44.041940+00:00</news:publication_date><news:title>Meta merilis model open-weight Muse Glimmer 30B; Anthropic meningkatkan batas Riemann</news:title></news:news></url>
<url><loc>https://korshunov.ai/ar/article/17735-tlq-myt-lmwdyl-muse-glimmer-30b-dhw-lwzn-lmftwh-nthrwbyk-thswn-lhd-ldn-l-riemann/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ar</news:language></news:publication><news:publication_date>2026-08-11T08:50:44.041940+00:00</news:publication_date><news:title>إطلاق ميتا لموديل Muse Glimmer 30B ذو الأوزان المفتوحة؛ أنثروبيك تحسّن الحد الأدنى لـ Riemann</news:title></news:news></url>
<url><loc>https://korshunov.ai/en/article/17734-meta-releases-muse-glimmer-a-30b-open-weight-model-for-local-agents/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>en</news:language></news:publication><news:publication_date>2026-08-11T08:24:07.578417+00:00</news:publication_date><news:title>Meta releases Muse Glimmer, a 30B open-weight model for local agents</news:title></news:news></url>
<url><loc>https://korshunov.ai/ru/article/17734-meta-vypustila-muse-glimmer-30b-model-s-otkrytym-vesom-dlia-lokalnykh-agentov/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ru</news:language></news:publication><news:publication_date>2026-08-11T08:24:07.578417+00:00</news:publication_date><news:title>Meta выпустила Muse Glimmer, 30B модель с открытым весом для локальных агентов</news:title></news:news></url>
<url><loc>https://korshunov.ai/es/article/17734-meta-lanza-muse-glimmer-un-modelo-de-peso-abierto-de-30b-para-agentes-locales/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>es</news:language></news:publication><news:publication_date>2026-08-11T08:24:07.578417+00:00</news:publication_date><news:title>Meta lanza Muse Glimmer, un modelo de peso abierto de 30B para agentes locales</news:title></news:news></url>
<url><loc>https://korshunov.ai/zh-hans/article/17734-metafa-bu-muse-glimmer-yi-kuan-mian-xiang-ben-di-dai-li-de-30bkai-yuan-quan-mo/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>zh-cn</news:language></news:publication><news:publication_date>2026-08-11T08:24:07.578417+00:00</news:publication_date><news:title>Meta发布Muse Glimmer，一款面向本地代理的30B开源权重模型</news:title></news:news></url>
<url><loc>https://korshunov.ai/pt-br/article/17734-meta-lanca-muse-glimmer-um-modelo-de-peso-aberto-de-30b-para-agentes-locais/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>pt</news:language></news:publication><news:publication_date>2026-08-11T08:24:07.578417+00:00</news:publication_date><news:title>Meta lança Muse Glimmer, um modelo de peso aberto de 30B para agentes locais</news:title></news:news></url>
<url><loc>https://korshunov.ai/hi/article/17734-meta-ne-sthaaniiy-ejentts-ke-lie-30b-opn-vett-monddl-muse-glimmer-jaarii-kiyaa/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>hi</news:language></news:publication><news:publication_date>2026-08-11T08:24:07.578417+00:00</news:publication_date><news:title>Meta ने स्थानीय एजेंट्स के लिए 30B ओपन-वेट मॉडल Muse Glimmer जारी किया</news:title></news:news></url>
<url><loc>https://korshunov.ai/ja/article/17734-metakaro-karue-shientoxiang-keno30bo-hunueitomoteru-muse-glimmer-woriri-su/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ja</news:language></news:publication><news:publication_date>2026-08-11T08:24:07.578417+00:00</news:publication_date><news:title>Metaがローカルエージェント向けの30Bオープンウェイトモデル「Muse Glimmer」をリリース</news:title></news:news></url>
<url><loc>https://korshunov.ai/ko/article/17734-meta-rokeol-eijeonteureul-wihan-30b-opeun-gajungci-model-muse-glimmer-culsi/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ko</news:language></news:publication><news:publication_date>2026-08-11T08:24:07.578417+00:00</news:publication_date><news:title>Meta, 로컬 에이전트를 위한 30B 오픈 가중치 모델 Muse Glimmer 출시</news:title></news:news></url>
<url><loc>https://korshunov.ai/fr/article/17734-meta-lance-muse-glimmer-un-modele-de-poids-ouvert-de-30b-pour-agents-locaux/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>fr</news:language></news:publication><news:publication_date>2026-08-11T08:24:07.578417+00:00</news:publication_date><news:title>Meta lance Muse Glimmer, un modèle de poids ouvert de 30B pour agents locaux</news:title></news:news></url>
<url><loc>https://korshunov.ai/id/article/17734-meta-merilis-muse-glimmer-model-bobot-terbuka-30b-untuk-agen-lokal/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>id</news:language></news:publication><news:publication_date>2026-08-11T08:24:07.578417+00:00</news:publication_date><news:title>Meta merilis Muse Glimmer, model bobot terbuka 30B untuk agen lokal</news:title></news:news></url>
<url><loc>https://korshunov.ai/ar/article/17734-myt-ttlq-muse-glimmer-nmwdhj-bwzn-mftwh-bhjm-30b-llwkl-lmhlyyn/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ar</news:language></news:publication><news:publication_date>2026-08-11T08:24:07.578417+00:00</news:publication_date><news:title>مايتا تطلق Muse Glimmer، نموذج بوزن مفتوح بحجم 30B للوكلاء المحليين</news:title></news:news></url>
<url><loc>https://korshunov.ai/es/article/17727-macaron-v1-presenta-una-familia-de-modelos-agente-abierta-con-mixture-of-lora/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>es</news:language></news:publication><news:publication_date>2026-08-11T08:05:52.262695+00:00</news:publication_date><news:title>Macaron-V1 presenta una familia de modelos-agente abierta con Mixture-of-LoRA para aprendizaje continuo</news:title></news:news></url>
<url><loc>https://korshunov.ai/en/article/17727-macaron-v1-introduces-open-agent-model-family-with-mixture-of-lora-for-continual/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>en</news:language></news:publication><news:publication_date>2026-08-11T08:05:52.262695+00:00</news:publication_date><news:title>Macaron-V1 introduces open agent-model family with Mixture-of-LoRA for continual learning</news:title></news:news></url>
<url><loc>https://korshunov.ai/ru/article/17727-macaron-v1-predstavliaet-otkrytoe-semeistvo-agentnykh-modelei-s-mixture-of-lora/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ru</news:language></news:publication><news:publication_date>2026-08-11T08:05:52.262695+00:00</news:publication_date><news:title>Macaron-V1 представляет открытое семейство агентных моделей с Mixture-of-LoRA для непрерывного обучения</news:title></news:news></url>
<url><loc>https://korshunov.ai/zh-hans/article/17727-macaron-v1-yin-ru-ji-yu-mixture-of-lora-de-chi-xu-xue-xi-kai-fang-zhi-neng-ti-mo/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>zh-cn</news:language></news:publication><news:publication_date>2026-08-11T08:05:52.262695+00:00</news:publication_date><news:title>Macaron-V1 引入基于 Mixture-of-LoRA 的持续学习开放智能体模型家族</news:title></news:news></url>
<url><loc>https://korshunov.ai/pt-br/article/17727-macaron-v1-apresenta-familia-de-modelos-de-agente-aberta-com-mixture-of-lora/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>pt</news:language></news:publication><news:publication_date>2026-08-11T08:05:52.262695+00:00</news:publication_date><news:title>Macaron-V1 apresenta família de modelos de agente aberta com Mixture-of-LoRA para aprendizado contínuo</news:title></news:news></url>
<url><loc>https://korshunov.ai/hi/article/17727-macaron-v1-ne-mixture-of-lora-ke-saath-nirntr-siikhne-ke-lie-khulaa-ejentt-pesh/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>hi</news:language></news:publication><news:publication_date>2026-08-11T08:05:52.262695+00:00</news:publication_date><news:title>Macaron-V1 ने Mixture-of-LoRA के साथ निरंतर सीखने के लिए खुला एजेंट-मॉडल परिवार पेश किया</news:title></news:news></url>
<url><loc>https://korshunov.ai/ja/article/17727-macaron-v1kaji-sok-xue-xi-notamenomixture-of-lorawoyong-itao-hunnae-wodao-ru/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ja</news:language></news:publication><news:publication_date>2026-08-11T08:05:52.262695+00:00</news:publication_date><news:title>Macaron-V1が継続学習のためのMixture-of-LoRAを用いたオープンなエージェントモデルファミリーを導入</news:title></news:news></url>
<url><loc>https://korshunov.ai/ko/article/17727-macaron-v1i-mixture-of-lorareul-hwalyonghan-jisog-hagseubyong-opeun-eijeonteu/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ko</news:language></news:publication><news:publication_date>2026-08-11T08:05:52.262695+00:00</news:publication_date><news:title>Macaron-V1이 Mixture-of-LoRA를 활용한 지속 학습용 오픈 에이전트 모델 패밀리 출시</news:title></news:news></url>
<url><loc>https://korshunov.ai/fr/article/17727-macaron-v1-presente-une-famille-de-modeles-d-agent-ouverte-avec-mixture-of-lora/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>fr</news:language></news:publication><news:publication_date>2026-08-11T08:05:52.262695+00:00</news:publication_date><news:title>Macaron-V1 présente une famille de modèles d'agent ouverte avec Mixture-of-LoRA pour l'apprentissage continu</news:title></news:news></url>
<url><loc>https://korshunov.ai/id/article/17727-macaron-v1-memperkenalkan-keluarga-agen-model-terbuka-dengan-mixture-of-lora/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>id</news:language></news:publication><news:publication_date>2026-08-11T08:05:52.262695+00:00</news:publication_date><news:title>Macaron-V1 memperkenalkan keluarga agen-model terbuka dengan Mixture-of-LoRA untuk pembelajaran berkelanjutan</news:title></news:news></url>
<url><loc>https://korshunov.ai/ar/article/17727-macaron-v1-yutlq-yl-nmdhj-wkl-mftwh-lmsdr-bstkhdm-mixture-of-lora-llt-lm-lmstmr/</loc><news:news><news:publication><news:name>korshunov.ai</news:name><news:language>ar</news:language></news:publication><news:publication_date>2026-08-11T08:05:52.262695+00:00</news:publication_date><news:title>Macaron-V1 يُطلق عائلة نماذج وكلاء مفتوحة المصدر باستخدام Mixture-of-LoRA للتعلم المستمر</news:title></news:news></url>
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</urlset>