{"id":9253,"date":"2024-01-16T14:01:10","date_gmt":"2024-01-16T14:01:10","guid":{"rendered":"https:\/\/dailyai.com\/?p=9253"},"modified":"2024-01-16T14:01:10","modified_gmt":"2024-01-16T14:01:10","slug":"v-multimodal-llm-guided-visual-search-that-beats-gpt-4v","status":"publish","type":"post","link":"https:\/\/dailyai.com\/ru\/2024\/01\/v-multimodal-llm-guided-visual-search-that-beats-gpt-4v\/","title":{"rendered":"V* - \u041c\u0443\u043b\u044c\u0442\u0438\u043c\u043e\u0434\u0430\u043b\u044c\u043d\u044b\u0439 \u0443\u043f\u0440\u0430\u0432\u043b\u044f\u0435\u043c\u044b\u0439 \u0432\u0438\u0437\u0443\u0430\u043b\u044c\u043d\u044b\u0439 \u043f\u043e\u0438\u0441\u043a LLM, \u043f\u0440\u0435\u0432\u043e\u0441\u0445\u043e\u0434\u044f\u0449\u0438\u0439 GPT-4V"},"content":{"rendered":"

\u0418\u0441\u0441\u043b\u0435\u0434\u043e\u0432\u0430\u0442\u0435\u043b\u0438 \u0438\u0437 \u041a\u0430\u043b\u0438\u0444\u043e\u0440\u043d\u0438\u0439\u0441\u043a\u043e\u0433\u043e \u0443\u043d\u0438\u0432\u0435\u0440\u0441\u0438\u0442\u0435\u0442\u0430 \u0432 \u0421\u0430\u043d-\u0414\u0438\u0435\u0433\u043e \u0438 \u041d\u044c\u044e-\u0419\u043e\u0440\u043a\u0441\u043a\u043e\u0433\u043e \u0443\u043d\u0438\u0432\u0435\u0440\u0441\u0438\u0442\u0435\u0442\u0430 \u0440\u0430\u0437\u0440\u0430\u0431\u043e\u0442\u0430\u043b\u0438 V* - \u0430\u043b\u0433\u043e\u0440\u0438\u0442\u043c \u043f\u043e\u0438\u0441\u043a\u0430 \u0441 LLM-\u043d\u0430\u0432\u0435\u0434\u0435\u043d\u0438\u0435\u043c, \u043a\u043e\u0442\u043e\u0440\u044b\u0439 \u0433\u043e\u0440\u0430\u0437\u0434\u043e \u043b\u0443\u0447\u0448\u0435 GPT-4V \u0441\u043f\u0440\u0430\u0432\u043b\u044f\u0435\u0442\u0441\u044f \u0441 \u043f\u043e\u043d\u0438\u043c\u0430\u043d\u0438\u0435\u043c \u043a\u043e\u043d\u0442\u0435\u043a\u0441\u0442\u0430 \u0438 \u0442\u043e\u0447\u043d\u044b\u043c \u043d\u0430\u0432\u0435\u0434\u0435\u043d\u0438\u0435\u043c \u043d\u0430 \u043a\u043e\u043d\u043a\u0440\u0435\u0442\u043d\u044b\u0435 \u0432\u0438\u0437\u0443\u0430\u043b\u044c\u043d\u044b\u0435 \u044d\u043b\u0435\u043c\u0435\u043d\u0442\u044b \u0432 \u0438\u0437\u043e\u0431\u0440\u0430\u0436\u0435\u043d\u0438\u044f\u0445.<\/strong><\/p>\n

\u041c\u0443\u043b\u044c\u0442\u0438\u043c\u043e\u0434\u0430\u043b\u044c\u043d\u044b\u0435 \u043c\u043e\u0434\u0435\u043b\u0438 \u0431\u043e\u043b\u044c\u0448\u043e\u0433\u043e \u044f\u0437\u044b\u043a\u0430 (MLLM), \u0442\u0430\u043a\u0438\u0435 \u043a\u0430\u043a GPT-4V \u043e\u0442 OpenAI, \u043f\u043e\u0440\u0430\u0437\u0438\u043b\u0438 \u043d\u0430\u0441 \u0432 \u043f\u0440\u043e\u0448\u043b\u043e\u043c \u0433\u043e\u0434\u0443 \u0441\u0432\u043e\u0435\u0439 \u0441\u043f\u043e\u0441\u043e\u0431\u043d\u043e\u0441\u0442\u044c\u044e \u043e\u0442\u0432\u0435\u0447\u0430\u0442\u044c \u043d\u0430 \u0432\u043e\u043f\u0440\u043e\u0441\u044b \u043e\u0431 \u0438\u0437\u043e\u0431\u0440\u0430\u0436\u0435\u043d\u0438\u044f\u0445. \u041a\u0430\u043a \u0431\u044b \u043d\u0438 \u0431\u044b\u043b \u0432\u043f\u0435\u0447\u0430\u0442\u043b\u044f\u044e\u0449 GPT-4V, \u0438\u043d\u043e\u0433\u0434\u0430 \u043e\u043d \u0438\u0441\u043f\u044b\u0442\u044b\u0432\u0430\u0435\u0442 \u0442\u0440\u0443\u0434\u043d\u043e\u0441\u0442\u0438, \u043a\u043e\u0433\u0434\u0430 \u0438\u0437\u043e\u0431\u0440\u0430\u0436\u0435\u043d\u0438\u044f \u043e\u0447\u0435\u043d\u044c \u0441\u043b\u043e\u0436\u043d\u044b\u0435, \u0438 \u0447\u0430\u0441\u0442\u043e \u0443\u043f\u0443\u0441\u043a\u0430\u0435\u0442 \u043c\u0435\u043b\u043a\u0438\u0435 \u0434\u0435\u0442\u0430\u043b\u0438.<\/p>\n

\u0410\u043b\u0433\u043e\u0440\u0438\u0442\u043c V* \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u0443\u0435\u0442 LLM Visual Question Answering (VQA), \u0447\u0442\u043e\u0431\u044b \u043e\u043f\u0440\u0435\u0434\u0435\u043b\u0438\u0442\u044c, \u043d\u0430 \u043a\u0430\u043a\u043e\u0439 \u043e\u0431\u043b\u0430\u0441\u0442\u0438 \u0438\u0437\u043e\u0431\u0440\u0430\u0436\u0435\u043d\u0438\u044f \u0441\u043b\u0435\u0434\u0443\u0435\u0442 \u0441\u043e\u0441\u0440\u0435\u0434\u043e\u0442\u043e\u0447\u0438\u0442\u044c\u0441\u044f, \u0447\u0442\u043e\u0431\u044b \u043e\u0442\u0432\u0435\u0442\u0438\u0442\u044c \u043d\u0430 \u0432\u0438\u0437\u0443\u0430\u043b\u044c\u043d\u044b\u0439 \u0437\u0430\u043f\u0440\u043e\u0441. \u0418\u0441\u0441\u043b\u0435\u0434\u043e\u0432\u0430\u0442\u0435\u043b\u0438 \u043d\u0430\u0437\u044b\u0432\u0430\u044e\u0442 \u044d\u0442\u0443 \u043a\u043e\u043c\u0431\u0438\u043d\u0430\u0446\u0438\u044e Show, sEArch \u0438 telL (SEAL).<\/p>\n

\u0415\u0441\u043b\u0438 \u0431\u044b \u043a\u0442\u043e-\u0442\u043e \u0434\u0430\u043b \u0432\u0430\u043c \u0438\u0437\u043e\u0431\u0440\u0430\u0436\u0435\u043d\u0438\u0435 \u0432\u044b\u0441\u043e\u043a\u043e\u0433\u043e \u0440\u0430\u0437\u0440\u0435\u0448\u0435\u043d\u0438\u044f \u0438 \u0437\u0430\u0434\u0430\u043b \u0432\u043e\u043f\u0440\u043e\u0441 \u043e \u043d\u0435\u043c, \u0432\u0430\u0448\u0430 \u043b\u043e\u0433\u0438\u043a\u0430 \u043f\u043e\u0434\u0441\u043a\u0430\u0437\u0430\u043b\u0430 \u0431\u044b \u0432\u0430\u043c, \u0447\u0442\u043e \u043d\u0443\u0436\u043d\u043e \u043f\u0440\u0438\u0431\u043b\u0438\u0437\u0438\u0442\u044c \u043e\u0431\u043b\u0430\u0441\u0442\u044c, \u0433\u0434\u0435 \u0432\u044b \u0441 \u043d\u0430\u0438\u0431\u043e\u043b\u044c\u0448\u0435\u0439 \u0432\u0435\u0440\u043e\u044f\u0442\u043d\u043e\u0441\u0442\u044c\u044e \u043d\u0430\u0439\u0434\u0435\u0442\u0435 \u0438\u0441\u043a\u043e\u043c\u044b\u0439 \u043f\u0440\u0435\u0434\u043c\u0435\u0442. SEAL \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u0443\u0435\u0442 V* \u0434\u043b\u044f \u0430\u043d\u0430\u043b\u0438\u0437\u0430 \u0438\u0437\u043e\u0431\u0440\u0430\u0436\u0435\u043d\u0438\u0439 \u0430\u043d\u0430\u043b\u043e\u0433\u0438\u0447\u043d\u044b\u043c \u043e\u0431\u0440\u0430\u0437\u043e\u043c.<\/p>\n

\u041c\u043e\u0434\u0435\u043b\u044c \u0432\u0438\u0437\u0443\u0430\u043b\u044c\u043d\u043e\u0433\u043e \u043f\u043e\u0438\u0441\u043a\u0430 \u043c\u043e\u0436\u0435\u0442 \u043f\u0440\u043e\u0441\u0442\u043e \u0440\u0430\u0437\u0434\u0435\u043b\u0438\u0442\u044c \u0438\u0437\u043e\u0431\u0440\u0430\u0436\u0435\u043d\u0438\u0435 \u043d\u0430 \u0431\u043b\u043e\u043a\u0438, \u0443\u0432\u0435\u043b\u0438\u0447\u0438\u0442\u044c \u043c\u0430\u0441\u0448\u0442\u0430\u0431 \u043a\u0430\u0436\u0434\u043e\u0433\u043e \u0431\u043b\u043e\u043a\u0430 \u0438 \u0437\u0430\u0442\u0435\u043c \u043e\u0431\u0440\u0430\u0431\u043e\u0442\u0430\u0442\u044c \u0435\u0433\u043e, \u0447\u0442\u043e\u0431\u044b \u043d\u0430\u0439\u0442\u0438 \u043d\u0443\u0436\u043d\u044b\u0439 \u043e\u0431\u044a\u0435\u043a\u0442, \u043d\u043e \u044d\u0442\u043e \u043e\u0447\u0435\u043d\u044c \u043d\u0435\u044d\u0444\u0444\u0435\u043a\u0442\u0438\u0432\u043d\u043e \u0441 \u0432\u044b\u0447\u0438\u0441\u043b\u0438\u0442\u0435\u043b\u044c\u043d\u043e\u0439 \u0442\u043e\u0447\u043a\u0438 \u0437\u0440\u0435\u043d\u0438\u044f.<\/p>\n

\u041f\u0440\u0438 \u043f\u043e\u043b\u0443\u0447\u0435\u043d\u0438\u0438 \u0442\u0435\u043a\u0441\u0442\u043e\u0432\u043e\u0433\u043e \u0437\u0430\u043f\u0440\u043e\u0441\u0430 \u043e\u0431 \u0438\u0437\u043e\u0431\u0440\u0430\u0436\u0435\u043d\u0438\u0438 V* \u0441\u043d\u0430\u0447\u0430\u043b\u0430 \u043f\u044b\u0442\u0430\u0435\u0442\u0441\u044f \u043d\u0430\u0439\u0442\u0438 \u0446\u0435\u043b\u044c \u0438\u0437\u043e\u0431\u0440\u0430\u0436\u0435\u043d\u0438\u044f \u043d\u0430\u043f\u0440\u044f\u043c\u0443\u044e. \u0415\u0441\u043b\u0438 \u044d\u0442\u043e \u043d\u0435 \u0443\u0434\u0430\u0435\u0442\u0441\u044f, \u043e\u043d \u043f\u0440\u043e\u0441\u0438\u0442 MLLM \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u0442\u044c \u0437\u0434\u0440\u0430\u0432\u044b\u0439 \u0441\u043c\u044b\u0441\u043b, \u0447\u0442\u043e\u0431\u044b \u043e\u043f\u0440\u0435\u0434\u0435\u043b\u0438\u0442\u044c, \u0432 \u043a\u0430\u043a\u043e\u0439 \u043e\u0431\u043b\u0430\u0441\u0442\u0438 \u0438\u0437\u043e\u0431\u0440\u0430\u0436\u0435\u043d\u0438\u044f, \u0441\u043a\u043e\u0440\u0435\u0435 \u0432\u0441\u0435\u0433\u043e, \u043d\u0430\u0445\u043e\u0434\u0438\u0442\u0441\u044f \u0446\u0435\u043b\u044c.<\/p>\n

\u0417\u0430\u0442\u0435\u043c \u043e\u043d \u0444\u043e\u043a\u0443\u0441\u0438\u0440\u0443\u0435\u0442 \u043f\u043e\u0438\u0441\u043a \u0442\u043e\u043b\u044c\u043a\u043e \u043d\u0430 \u044d\u0442\u043e\u0439 \u043e\u0431\u043b\u0430\u0441\u0442\u0438, \u0430 \u043d\u0435 \u043f\u044b\u0442\u0430\u0435\u0442\u0441\u044f \u0432\u044b\u043f\u043e\u043b\u043d\u0438\u0442\u044c \u043f\u043e\u0438\u0441\u043a \"\u0441 \u0443\u0432\u0435\u043b\u0438\u0447\u0435\u043d\u0438\u0435\u043c\" \u043f\u043e \u0432\u0441\u0435\u043c\u0443 \u0438\u0437\u043e\u0431\u0440\u0430\u0436\u0435\u043d\u0438\u044e.<\/p>\n

\"\"
\u041f\u0440\u0438 \u0437\u0430\u043f\u0440\u043e\u0441\u0435 \u043d\u0430 \u043f\u043e\u0438\u0441\u043a \u0433\u0438\u0442\u0430\u0440\u044b LLM \u043e\u043f\u0440\u0435\u0434\u0435\u043b\u044f\u0435\u0442 \u0441\u0446\u0435\u043d\u0443 \u043a\u0430\u043a \u043b\u043e\u0433\u0438\u0447\u0435\u0441\u043a\u0443\u044e \u043e\u0431\u043b\u0430\u0441\u0442\u044c, \u043d\u0430 \u043a\u043e\u0442\u043e\u0440\u043e\u0439 \u0441\u043b\u0435\u0434\u0443\u0435\u0442 \u0441\u043e\u0441\u0440\u0435\u0434\u043e\u0442\u043e\u0447\u0438\u0442\u044c \u0432\u0438\u0437\u0443\u0430\u043b\u044c\u043d\u044b\u0439 \u0430\u043d\u0430\u043b\u0438\u0437 \u0434\u043b\u044f \u0435\u0435 \u043f\u043e\u0438\u0441\u043a\u0430. \u0418\u0441\u0442\u043e\u0447\u043d\u0438\u043a: GitHub<\/figcaption><\/figure>\n

\u041a\u043e\u0433\u0434\u0430 GPT-4V \u043f\u0440\u0435\u0434\u043b\u0430\u0433\u0430\u0435\u0442\u0441\u044f \u043e\u0442\u0432\u0435\u0442\u0438\u0442\u044c \u043d\u0430 \u0432\u043e\u043f\u0440\u043e\u0441\u044b \u043e\u0431 \u0438\u0437\u043e\u0431\u0440\u0430\u0436\u0435\u043d\u0438\u0438, \u0442\u0440\u0435\u0431\u0443\u044e\u0449\u0435\u043c \u043e\u0431\u0448\u0438\u0440\u043d\u043e\u0439 \u0432\u0438\u0437\u0443\u0430\u043b\u044c\u043d\u043e\u0439 \u043e\u0431\u0440\u0430\u0431\u043e\u0442\u043a\u0438 \u0438\u0437\u043e\u0431\u0440\u0430\u0436\u0435\u043d\u0438\u0439 \u0432\u044b\u0441\u043e\u043a\u043e\u0433\u043e \u0440\u0430\u0437\u0440\u0435\u0448\u0435\u043d\u0438\u044f, \u043e\u043d \u0438\u0441\u043f\u044b\u0442\u044b\u0432\u0430\u0435\u0442 \u0442\u0440\u0443\u0434\u043d\u043e\u0441\u0442\u0438. SEAL, \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u0443\u044e\u0449\u0438\u0439 V*, \u0441\u043f\u0440\u0430\u0432\u043b\u044f\u0435\u0442\u0441\u044f \u0433\u043e\u0440\u0430\u0437\u0434\u043e \u043b\u0443\u0447\u0448\u0435.<\/p>\n

\"\"
\u041a\u043e\u0442\u0438\u043a \u043f\u0440\u0430\u0432\u0438\u043b\u044c\u043d\u043e \u043e\u0442\u0432\u0435\u0447\u0430\u0435\u0442 \u043d\u0430 \u0432\u043e\u043f\u0440\u043e\u0441 \u043e\u0431 \u0438\u0437\u043e\u0431\u0440\u0430\u0436\u0435\u043d\u0438\u0438, \u0432 \u0442\u043e \u0432\u0440\u0435\u043c\u044f \u043a\u0430\u043a GPT-4V \u043e\u0448\u0438\u0431\u0430\u0435\u0442\u0441\u044f. \u0418\u0441\u0442\u043e\u0447\u043d\u0438\u043a: GitHub<\/figcaption><\/figure>\n

\u041d\u0430 \u0432\u043e\u043f\u0440\u043e\u0441 \"\u041a\u0430\u043a\u043e\u0439 \u043d\u0430\u043f\u0438\u0442\u043e\u043a \u043c\u044b \u043c\u043e\u0436\u0435\u043c \u043a\u0443\u043f\u0438\u0442\u044c \u0432 \u044d\u0442\u043e\u043c \u0442\u043e\u0440\u0433\u043e\u0432\u043e\u043c \u0430\u0432\u0442\u043e\u043c\u0430\u0442\u0435?\" SEAL \u043e\u0442\u0432\u0435\u0442\u0438\u043b \"Coca-Cola\", \u0430 GPT-4V \u043d\u0435\u0432\u0435\u0440\u043d\u043e \u0443\u0433\u0430\u0434\u0430\u043b \"Pepsi\".<\/p>\n

\u0418\u0441\u0441\u043b\u0435\u0434\u043e\u0432\u0430\u0442\u0435\u043b\u0438 \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u043b\u0438 191 \u0438\u0437\u043e\u0431\u0440\u0430\u0436\u0435\u043d\u0438\u0435 \u0432\u044b\u0441\u043e\u043a\u043e\u0433\u043e \u0440\u0430\u0437\u0440\u0435\u0448\u0435\u043d\u0438\u044f \u0438\u0437 \u043d\u0430\u0431\u043e\u0440\u0430 \u0434\u0430\u043d\u043d\u044b\u0445 Segment Anything (SAM) \u043a\u043e\u043c\u043f\u0430\u043d\u0438\u0438 Meta \u0438 \u0441\u043e\u0437\u0434\u0430\u043b\u0438 \u0431\u0435\u043d\u0447\u043c\u0430\u0440\u043a, \u0447\u0442\u043e\u0431\u044b \u0443\u0432\u0438\u0434\u0435\u0442\u044c, \u043a\u0430\u043a \u043f\u0440\u043e\u0438\u0437\u0432\u043e\u0434\u0438\u0442\u0435\u043b\u044c\u043d\u043e\u0441\u0442\u044c SEAL \u0441\u0440\u0430\u0432\u043d\u0438\u0432\u0430\u0435\u0442\u0441\u044f \u0441 \u0434\u0440\u0443\u0433\u0438\u043c\u0438 \u043c\u043e\u0434\u0435\u043b\u044f\u043c\u0438. \u0412 \u0431\u0435\u043d\u0447\u043c\u0430\u0440\u043a\u0435 V*Bench \u0442\u0435\u0441\u0442\u0438\u0440\u0443\u044e\u0442\u0441\u044f \u0434\u0432\u0435 \u0437\u0430\u0434\u0430\u0447\u0438: \u0440\u0430\u0441\u043f\u043e\u0437\u043d\u0430\u0432\u0430\u043d\u0438\u0435 \u0430\u0442\u0440\u0438\u0431\u0443\u0442\u043e\u0432 \u0438 \u0440\u0430\u0441\u0441\u0443\u0436\u0434\u0435\u043d\u0438\u044f \u043e \u043f\u0440\u043e\u0441\u0442\u0440\u0430\u043d\u0441\u0442\u0432\u0435\u043d\u043d\u044b\u0445 \u043e\u0442\u043d\u043e\u0448\u0435\u043d\u0438\u044f\u0445.<\/p>\n

\u041d\u0430 \u0440\u0438\u0441\u0443\u043d\u043a\u0430\u0445 \u043d\u0438\u0436\u0435 \u043f\u043e\u043a\u0430\u0437\u0430\u043d\u0430 \u043f\u0440\u043e\u0438\u0437\u0432\u043e\u0434\u0438\u0442\u0435\u043b\u044c\u043d\u043e\u0441\u0442\u044c \u0447\u0435\u043b\u043e\u0432\u0435\u043a\u0430 \u0432 \u0441\u0440\u0430\u0432\u043d\u0435\u043d\u0438\u0438 \u0441 \u043c\u043e\u0434\u0435\u043b\u044f\u043c\u0438 \u0441 \u043e\u0442\u043a\u0440\u044b\u0442\u044b\u043c \u0438\u0441\u0445\u043e\u0434\u043d\u044b\u043c \u043a\u043e\u0434\u043e\u043c, \u043a\u043e\u043c\u043c\u0435\u0440\u0447\u0435\u0441\u043a\u0438\u043c\u0438 \u043c\u043e\u0434\u0435\u043b\u044f\u043c\u0438, \u0442\u0430\u043a\u0438\u043c\u0438 \u043a\u0430\u043a GPT-4V, \u0438 SEAL. \u0423\u0432\u0435\u043b\u0438\u0447\u0435\u043d\u0438\u0435 \u043f\u0440\u043e\u0438\u0437\u0432\u043e\u0434\u0438\u0442\u0435\u043b\u044c\u043d\u043e\u0441\u0442\u0438 SEAL \u0437\u0430 \u0441\u0447\u0435\u0442 V* \u043e\u0441\u043e\u0431\u0435\u043d\u043d\u043e \u0432\u043f\u0435\u0447\u0430\u0442\u043b\u044f\u0435\u0442, \u043f\u043e\u0441\u043a\u043e\u043b\u044c\u043a\u0443 \u0432 \u043e\u0441\u043d\u043e\u0432\u0435 \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u0443\u0435\u043c\u043e\u0439 \u0438\u043c MLLM \u043b\u0435\u0436\u0438\u0442 LLaVa-7b, \u043a\u043e\u0442\u043e\u0440\u0430\u044f \u043d\u0430\u043c\u043d\u043e\u0433\u043e \u043c\u0435\u043d\u044c\u0448\u0435 GPT-4V.<\/p>\n

\"\"<\/p>\n

\u042d\u0442\u043e\u0442 \u0438\u043d\u0442\u0443\u0438\u0442\u0438\u0432\u043d\u044b\u0439 \u043f\u043e\u0434\u0445\u043e\u0434 \u043a \u0430\u043d\u0430\u043b\u0438\u0437\u0443 \u0438\u0437\u043e\u0431\u0440\u0430\u0436\u0435\u043d\u0438\u0439, \u043f\u043e\u0445\u043e\u0436\u0435, \u0434\u0435\u0439\u0441\u0442\u0432\u0438\u0442\u0435\u043b\u044c\u043d\u043e \u0445\u043e\u0440\u043e\u0448\u043e \u0440\u0430\u0431\u043e\u0442\u0430\u0435\u0442, \u0438 \u043d\u0430 \u0441\u0430\u0439\u0442\u0435 \u043c\u043e\u0436\u043d\u043e \u043d\u0430\u0439\u0442\u0438 \u043c\u043d\u043e\u0436\u0435\u0441\u0442\u0432\u043e \u0432\u043f\u0435\u0447\u0430\u0442\u043b\u044f\u044e\u0449\u0438\u0445 \u043f\u0440\u0438\u043c\u0435\u0440\u043e\u0432. \u0420\u0435\u0437\u044e\u043c\u0435 \u0441\u0442\u0430\u0442\u044c\u0438 \u043d\u0430 GitHub<\/a>.<\/p>\n

\u0411\u0443\u0434\u0435\u0442 \u0438\u043d\u0442\u0435\u0440\u0435\u0441\u043d\u043e \u043f\u043e\u0441\u043c\u043e\u0442\u0440\u0435\u0442\u044c, \u043f\u0440\u0438\u043c\u0443\u0442 \u043b\u0438 \u043f\u043e\u0434\u043e\u0431\u043d\u044b\u0439 \u043f\u043e\u0434\u0445\u043e\u0434 \u0434\u0440\u0443\u0433\u0438\u0435 MLLM, \u043d\u0430\u043f\u0440\u0438\u043c\u0435\u0440, \u043e\u0442 OpenAI \u0438\u043b\u0438 Google.<\/p>\n

\u041d\u0430 \u0432\u043e\u043f\u0440\u043e\u0441, \u043a\u0430\u043a\u043e\u0439 \u043d\u0430\u043f\u0438\u0442\u043e\u043a \u043f\u0440\u043e\u0434\u0430\u0435\u0442\u0441\u044f \u0438\u0437 \u0442\u043e\u0440\u0433\u043e\u0432\u043e\u0433\u043e \u0430\u0432\u0442\u043e\u043c\u0430\u0442\u0430 \u043d\u0430 \u0444\u043e\u0442\u043e\u0433\u0440\u0430\u0444\u0438\u0438 \u0432\u044b\u0448\u0435, \u0411\u0430\u0440\u0434 \u0438\u0437 Google \u043e\u0442\u0432\u0435\u0442\u0438\u043b: \"\u041d\u0430 \u043f\u0435\u0440\u0435\u0434\u043d\u0435\u043c \u043f\u043b\u0430\u043d\u0435 \u043d\u0435\u0442 \u0442\u043e\u0440\u0433\u043e\u0432\u043e\u0433\u043e \u0430\u0432\u0442\u043e\u043c\u0430\u0442\u0430\". \u0412\u043e\u0437\u043c\u043e\u0436\u043d\u043e, Gemini Ultra \u0441\u043f\u0440\u0430\u0432\u0438\u0442\u0441\u044f \u0441 \u044d\u0442\u043e\u0439 \u0437\u0430\u0434\u0430\u0447\u0435\u0439 \u043b\u0443\u0447\u0448\u0435.<\/p>\n

\u041f\u043e\u043a\u0430 \u0447\u0442\u043e \u043a\u0430\u0436\u0435\u0442\u0441\u044f, \u0447\u0442\u043e SEAL \u0438 \u0435\u0433\u043e \u043d\u043e\u0432\u044b\u0439 \u0430\u043b\u0433\u043e\u0440\u0438\u0442\u043c V* \u043e\u043f\u0435\u0440\u0435\u0436\u0430\u044e\u0442 \u043d\u0435\u043a\u043e\u0442\u043e\u0440\u044b\u0435 \u0438\u0437 \u0441\u0430\u043c\u044b\u0445 \u0431\u043e\u043b\u044c\u0448\u0438\u0445 \u043c\u0443\u043b\u044c\u0442\u0438\u043c\u043e\u0434\u0430\u043b\u044c\u043d\u044b\u0445 \u043c\u043e\u0434\u0435\u043b\u0435\u0439 \u043d\u0430 \u043d\u0435\u043a\u043e\u0442\u043e\u0440\u043e\u0435 \u0440\u0430\u0441\u0441\u0442\u043e\u044f\u043d\u0438\u0435, \u043a\u043e\u0433\u0434\u0430 \u0434\u0435\u043b\u043e \u0434\u043e\u0445\u043e\u0434\u0438\u0442 \u0434\u043e \u0432\u0438\u0437\u0443\u0430\u043b\u044c\u043d\u043e\u0433\u043e \u043e\u043f\u0440\u043e\u0441\u0430.<\/p>\n

 <\/p>","protected":false},"excerpt":{"rendered":"

\u0418\u0441\u0441\u043b\u0435\u0434\u043e\u0432\u0430\u0442\u0435\u043b\u0438 \u0438\u0437 \u041a\u0430\u043b\u0438\u0444\u043e\u0440\u043d\u0438\u0439\u0441\u043a\u043e\u0433\u043e \u0443\u043d\u0438\u0432\u0435\u0440\u0441\u0438\u0442\u0435\u0442\u0430 \u0432 \u0421\u0430\u043d-\u0414\u0438\u0435\u0433\u043e \u0438 \u041d\u044c\u044e-\u0419\u043e\u0440\u043a\u0441\u043a\u043e\u0433\u043e \u0443\u043d\u0438\u0432\u0435\u0440\u0441\u0438\u0442\u0435\u0442\u0430 \u0440\u0430\u0437\u0440\u0430\u0431\u043e\u0442\u0430\u043b\u0438 V*, \u0430\u043b\u0433\u043e\u0440\u0438\u0442\u043c \u043f\u043e\u0438\u0441\u043a\u0430, \u0443\u043f\u0440\u0430\u0432\u043b\u044f\u0435\u043c\u044b\u0439 LLM, \u043a\u043e\u0442\u043e\u0440\u044b\u0439 \u043d\u0430\u043c\u043d\u043e\u0433\u043e \u043b\u0443\u0447\u0448\u0435, \u0447\u0435\u043c GPT-4V, \u0441\u043f\u0440\u0430\u0432\u043b\u044f\u0435\u0442\u0441\u044f \u0441 \u043f\u043e\u043d\u0438\u043c\u0430\u043d\u0438\u0435\u043c \u043a\u043e\u043d\u0442\u0435\u043a\u0441\u0442\u0430 \u0438 \u0442\u043e\u0447\u043d\u044b\u043c \u043d\u0430\u0446\u0435\u043b\u0438\u0432\u0430\u043d\u0438\u0435\u043c \u043d\u0430 \u043a\u043e\u043d\u043a\u0440\u0435\u0442\u043d\u044b\u0435 \u0432\u0438\u0437\u0443\u0430\u043b\u044c\u043d\u044b\u0435 \u044d\u043b\u0435\u043c\u0435\u043d\u0442\u044b \u0432 \u0438\u0437\u043e\u0431\u0440\u0430\u0436\u0435\u043d\u0438\u044f\u0445. \u041c\u0443\u043b\u044c\u0442\u0438\u043c\u043e\u0434\u0430\u043b\u044c\u043d\u044b\u0435 \u043c\u043e\u0434\u0435\u043b\u0438 \u0431\u043e\u043b\u044c\u0448\u043e\u0433\u043e \u044f\u0437\u044b\u043a\u0430 (MLLM), \u0442\u0430\u043a\u0438\u0435 \u043a\u0430\u043a GPT-4V \u043e\u0442 OpenAI, \u043f\u043e\u0440\u0430\u0437\u0438\u043b\u0438 \u043d\u0430\u0441 \u0432 \u043f\u0440\u043e\u0448\u043b\u043e\u043c \u0433\u043e\u0434\u0443 \u0441\u0432\u043e\u0435\u0439 \u0441\u043f\u043e\u0441\u043e\u0431\u043d\u043e\u0441\u0442\u044c\u044e \u043e\u0442\u0432\u0435\u0447\u0430\u0442\u044c \u043d\u0430 \u0432\u043e\u043f\u0440\u043e\u0441\u044b \u043e\u0431 \u0438\u0437\u043e\u0431\u0440\u0430\u0436\u0435\u043d\u0438\u044f\u0445. \u041a\u0430\u043a \u0431\u044b \u043d\u0438 \u0431\u044b\u043b \u0432\u043f\u0435\u0447\u0430\u0442\u043b\u044f\u044e\u0449 GPT-4V, \u0438\u043d\u043e\u0433\u0434\u0430 \u043e\u043d \u0438\u0441\u043f\u044b\u0442\u044b\u0432\u0430\u0435\u0442 \u0442\u0440\u0443\u0434\u043d\u043e\u0441\u0442\u0438, \u043a\u043e\u0433\u0434\u0430 \u0438\u0437\u043e\u0431\u0440\u0430\u0436\u0435\u043d\u0438\u044f \u043e\u0447\u0435\u043d\u044c \u0441\u043b\u043e\u0436\u043d\u044b\u0435, \u0438 \u0447\u0430\u0441\u0442\u043e \u0443\u043f\u0443\u0441\u043a\u0430\u0435\u0442 \u043c\u0435\u043b\u043a\u0438\u0435 \u0434\u0435\u0442\u0430\u043b\u0438. \u0410\u043b\u0433\u043e\u0440\u0438\u0442\u043c V* \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u0443\u0435\u0442 LLM Visual Question Answering (VQA), \u0447\u0442\u043e\u0431\u044b \u043e\u043f\u0440\u0435\u0434\u0435\u043b\u0438\u0442\u044c, \u043d\u0430 \u043a\u0430\u043a\u043e\u0439 \u043e\u0431\u043b\u0430\u0441\u0442\u0438 \u0438\u0437\u043e\u0431\u0440\u0430\u0436\u0435\u043d\u0438\u044f \u043d\u0443\u0436\u043d\u043e \u0441\u043e\u0441\u0440\u0435\u0434\u043e\u0442\u043e\u0447\u0438\u0442\u044c\u0441\u044f, \u0447\u0442\u043e\u0431\u044b \u043e\u0442\u0432\u0435\u0442\u0438\u0442\u044c \u043d\u0430 \u0432\u0438\u0437\u0443\u0430\u043b\u044c\u043d\u044b\u0439 \u0432\u043e\u043f\u0440\u043e\u0441.<\/p>","protected":false},"author":6,"featured_media":9260,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[84],"tags":[166,118],"class_list":["post-9253","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-industry","tag-computer-vision","tag-llms"],"yoast_head":"\nV* - Multimodal LLM guided visual search that beats GPT-4V | DailyAI<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/dailyai.com\/ru\/2024\/01\/v-multimodal-llm-guided-visual-search-that-beats-gpt-4v\/\" \/>\n<meta property=\"og:locale\" content=\"ru_RU\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"V* - Multimodal LLM guided visual search that beats GPT-4V | DailyAI\" \/>\n<meta property=\"og:description\" content=\"Researchers from UC San Diego and New York University developed V*, an LLM-guided search algorithm that is a lot better than GPT-4V at contextual understanding, and precise targeting of specific visual elements in images. Multimodal Large Language Models (MLLM) like OpenAI\u2019s GPT-4V blew us away last year with the ability to answer questions about images. As impressive as GPT-4V is, it struggles sometimes when images are very complex and often misses small details. 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When he takes a break from consuming AI news you'll find him at the snooker table.\",\"sameAs\":[\"www.linkedin.com\\\/in\\\/eugene-van-der-watt-16828119\"],\"url\":\"https:\\\/\\\/dailyai.com\\\/ru\\\/author\\\/eugene\\\/\"}]}<\/script>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"V* - \u041c\u0443\u043b\u044c\u0442\u0438\u043c\u043e\u0434\u0430\u043b\u044c\u043d\u044b\u0439 \u0443\u043f\u0440\u0430\u0432\u043b\u044f\u0435\u043c\u044b\u0439 \u0432\u0438\u0437\u0443\u0430\u043b\u044c\u043d\u044b\u0439 \u043f\u043e\u0438\u0441\u043a LLM, \u043f\u0440\u0435\u0432\u043e\u0441\u0445\u043e\u0434\u044f\u0449\u0438\u0439 GPT-4V | DailyAI","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/dailyai.com\/ru\/2024\/01\/v-multimodal-llm-guided-visual-search-that-beats-gpt-4v\/","og_locale":"ru_RU","og_type":"article","og_title":"V* - Multimodal LLM guided visual search that beats GPT-4V | DailyAI","og_description":"Researchers from UC San Diego and New York University developed V*, an LLM-guided search algorithm that is a lot better than GPT-4V at contextual understanding, and precise targeting of specific visual elements in images. 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