{"id":6777,"date":"2023-10-26T09:17:15","date_gmt":"2023-10-26T09:17:15","guid":{"rendered":"https:\/\/dailyai.com\/?p=6777"},"modified":"2023-10-26T09:22:02","modified_gmt":"2023-10-26T09:22:02","slug":"woodpecker-could-solve-multimodal-llm-hallucinations","status":"publish","type":"post","link":"https:\/\/dailyai.com\/ru\/2023\/10\/woodpecker-could-solve-multimodal-llm-hallucinations\/","title":{"rendered":"\u0414\u044f\u0442\u0435\u043b \u043c\u043e\u0436\u0435\u0442 \u0440\u0435\u0448\u0438\u0442\u044c \u043f\u0440\u043e\u0431\u043b\u0435\u043c\u0443 \u043c\u0443\u043b\u044c\u0442\u0438\u043c\u043e\u0434\u0430\u043b\u044c\u043d\u044b\u0445 \u0433\u0430\u043b\u043b\u044e\u0446\u0438\u043d\u0430\u0446\u0438\u0439 LLM"},"content":{"rendered":"

\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, \u0434\u0435\u0439\u0441\u0442\u0432\u0438\u0442\u0435\u043b\u044c\u043d\u043e \u0445\u043e\u0440\u043e\u0448\u0438 \u0432 \u0430\u043d\u0430\u043b\u0438\u0437\u0435 \u0438 \u043e\u043f\u0438\u0441\u0430\u043d\u0438\u0438 \u0438\u0437\u043e\u0431\u0440\u0430\u0436\u0435\u043d\u0438\u0439, \u043d\u043e \u0438\u043d\u043e\u0433\u0434\u0430 \u043e\u043d\u0438 \u0433\u0430\u043b\u043b\u044e\u0446\u0438\u043d\u0438\u0440\u0443\u044e\u0442 \u0438 \u043e\u0448\u0438\u0431\u0430\u044e\u0442\u0441\u044f. \u041d\u043e\u0432\u044b\u0439 \u043f\u043e\u0434\u0445\u043e\u0434 \u043f\u043e\u0434 \u043d\u0430\u0437\u0432\u0430\u043d\u0438\u0435\u043c Woodpecker \u043c\u043e\u0436\u0435\u0442 \u044d\u0442\u043e \u0438\u0441\u043f\u0440\u0430\u0432\u0438\u0442\u044c.<\/strong><\/p>\n

\u0415\u0441\u043b\u0438 \u0432\u044b \u043f\u043e\u043f\u0440\u043e\u0441\u0438\u0442\u0435 \u041c\u041b\u041c \u043e\u043f\u0438\u0441\u0430\u0442\u044c \u0444\u043e\u0442\u043e\u0433\u0440\u0430\u0444\u0438\u044e, \u043e\u043d\u0430, \u043a\u0430\u043a \u043f\u0440\u0430\u0432\u0438\u043b\u043e, \u0441\u043c\u043e\u0436\u0435\u0442 \u0432\u044b\u0434\u0435\u043b\u0438\u0442\u044c \u043e\u0431\u044a\u0435\u043a\u0442\u044b \u0438 \u0442\u043e\u0447\u043d\u043e \u043e\u043f\u0438\u0441\u0430\u0442\u044c \u0441\u0446\u0435\u043d\u0443. \u041d\u043e, \u043a\u0430\u043a \u0438 \u0432 \u0441\u043b\u0443\u0447\u0430\u0435 \u0441 \u043e\u0442\u0432\u0435\u0442\u0430\u043c\u0438 \u043d\u0430 \u0442\u0435\u043a\u0441\u0442\u043e\u0432\u044b\u0435 \u043f\u043e\u0434\u0441\u043a\u0430\u0437\u043a\u0438, \u043c\u043e\u0434\u0435\u043b\u044c \u0438\u043d\u043e\u0433\u0434\u0430 \u0434\u0435\u043b\u0430\u0435\u0442 \u043f\u0440\u0435\u0434\u043f\u043e\u043b\u043e\u0436\u0435\u043d\u0438\u044f, \u043e\u0441\u043d\u043e\u0432\u044b\u0432\u0430\u044f\u0441\u044c \u043d\u0430 \u043f\u0440\u0435\u0434\u043c\u0435\u0442\u0430\u0445 \u0438\u043b\u0438 \u043f\u043e\u043d\u044f\u0442\u0438\u044f\u0445, \u043a\u043e\u0442\u043e\u0440\u044b\u0435 \u0447\u0430\u0441\u0442\u043e \u0432\u0441\u0442\u0440\u0435\u0447\u0430\u044e\u0442\u0441\u044f \u0432\u043c\u0435\u0441\u0442\u0435.<\/p>\n

\u0412 \u0440\u0435\u0437\u0443\u043b\u044c\u0442\u0430\u0442\u0435 \u041c\u041b\u041c \u043c\u043e\u0436\u0435\u0442 \u043e\u043f\u0438\u0441\u0430\u0442\u044c \u0444\u043e\u0442\u043e\u0433\u0440\u0430\u0444\u0438\u044e \u0432\u0438\u0442\u0440\u0438\u043d\u044b \u043c\u0430\u0433\u0430\u0437\u0438\u043d\u0430 \u0438 \u0441\u043a\u0430\u0437\u0430\u0442\u044c, \u0447\u0442\u043e \u043d\u0430 \u043d\u0435\u0439 \u0435\u0441\u0442\u044c \u043b\u044e\u0434\u0438, \u0445\u043e\u0442\u044f \u043d\u0430 \u0441\u0430\u043c\u043e\u043c \u0434\u0435\u043b\u0435 \u0438\u0445 \u043d\u0435\u0442.<\/p>\n

\u0420\u0430\u0431\u043e\u0442\u0430 \u043f\u043e \u0443\u0441\u0442\u0440\u0430\u043d\u0435\u043d\u0438\u044e \u0433\u0430\u043b\u043b\u044e\u0446\u0438\u043d\u0430\u0446\u0438\u0439 \u0432 \u0442\u0435\u043a\u0441\u0442\u043e\u0432\u044b\u0445 \u041b\u041b\u041c \u043f\u0440\u043e\u0434\u043e\u043b\u0436\u0430\u0435\u0442\u0441\u044f, \u043d\u043e \u0441\u0442\u0430\u043d\u043e\u0432\u0438\u0442\u0441\u044f \u043d\u0430\u043c\u043d\u043e\u0433\u043e \u043f\u0440\u043e\u0449\u0435, \u043a\u043e\u0433\u0434\u0430 \u043c\u043e\u0434\u0435\u043b\u044c \u043f\u043e\u0434\u043a\u043b\u044e\u0447\u0435\u043d\u0430 \u043a \u0438\u043d\u0442\u0435\u0440\u043d\u0435\u0442\u0443. \u041b\u041b\u041c \u043c\u043e\u0436\u0435\u0442 \u0433\u0435\u043d\u0435\u0440\u0438\u0440\u043e\u0432\u0430\u0442\u044c \u0442\u0435\u043a\u0441\u0442\u043e\u0432\u044b\u0439 \u043e\u0442\u0432\u0435\u0442 \u043d\u0430 \u0437\u0430\u043f\u0440\u043e\u0441, \u043f\u0440\u043e\u0432\u0435\u0440\u044f\u0442\u044c \u0435\u0433\u043e \u043d\u0430 \u0434\u043e\u0441\u0442\u043e\u0432\u0435\u0440\u043d\u043e\u0441\u0442\u044c \u043f\u043e \u0441\u043e\u043e\u0442\u0432\u0435\u0442\u0441\u0442\u0432\u0443\u044e\u0449\u0438\u043c \u0438\u043d\u0442\u0435\u0440\u043d\u0435\u0442-\u0434\u0430\u043d\u043d\u044b\u043c \u0438 \u043f\u0440\u0438 \u043d\u0435\u043e\u0431\u0445\u043e\u0434\u0438\u043c\u043e\u0441\u0442\u0438 \u0441\u0430\u043c\u043e\u043a\u043e\u0440\u0440\u0435\u043a\u0442\u0438\u0440\u043e\u0432\u0430\u0442\u044c\u0441\u044f.<\/p>\n

\u0423\u0447\u0435\u043d\u044b\u0435 \u0438\u0437 \u043b\u0430\u0431\u043e\u0440\u0430\u0442\u043e\u0440\u0438\u0438 YouTu Lab \u043a\u043e\u043c\u043f\u0430\u043d\u0438\u0438 Tencent \u0438 \u041a\u0438\u0442\u0430\u0439\u0441\u043a\u043e\u0433\u043e \u0443\u043d\u0438\u0432\u0435\u0440\u0441\u0438\u0442\u0435\u0442\u0430 \u043d\u0430\u0443\u043a\u0438 \u0438 \u0442\u0435\u0445\u043d\u043e\u043b\u043e\u0433\u0438\u0439 \u0432\u0437\u044f\u043b\u0438 \u044d\u0442\u043e\u0442 \u043f\u043e\u0434\u0445\u043e\u0434 \u043d\u0430 \u0432\u043e\u043e\u0440\u0443\u0436\u0435\u043d\u0438\u0435 \u0438 \u0432\u043e\u043f\u043b\u043e\u0442\u0438\u043b\u0438 \u0435\u0433\u043e \u0432 \u0432\u0438\u0437\u0443\u0430\u043b\u044c\u043d\u043e\u043c \u0440\u0435\u0448\u0435\u043d\u0438\u0438 \u043f\u043e\u0434 \u043d\u0430\u0437\u0432\u0430\u043d\u0438\u0435\u043c Woodpecker.<\/p>\n

\u041f\u0440\u043e\u0449\u0435 \u0433\u043e\u0432\u043e\u0440\u044f, Woodpecker \u0441\u043e\u0437\u0434\u0430\u0435\u0442 \u0441\u043e\u0432\u043e\u043a\u0443\u043f\u043d\u043e\u0441\u0442\u044c \u0437\u043d\u0430\u043d\u0438\u0439 \u043d\u0430 \u043e\u0441\u043d\u043e\u0432\u0435 \u0438\u0437\u043e\u0431\u0440\u0430\u0436\u0435\u043d\u0438\u044f, \u0430 \u0437\u0430\u0442\u0435\u043c LLM \u043c\u043e\u0436\u0435\u0442 \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u0442\u044c \u0435\u0435 \u0432 \u043a\u0430\u0447\u0435\u0441\u0442\u0432\u0435 \u0441\u0441\u044b\u043b\u043a\u0438 \u0434\u043b\u044f \u043a\u043e\u0440\u0440\u0435\u043a\u0442\u0438\u0440\u043e\u0432\u043a\u0438 \u043f\u0435\u0440\u0432\u043e\u043d\u0430\u0447\u0430\u043b\u044c\u043d\u043e\u0433\u043e \u043e\u043f\u0438\u0441\u0430\u043d\u0438\u044f, \u0441\u043e\u0437\u0434\u0430\u043d\u043d\u043e\u0433\u043e MLLM.<\/p>\n

\u0412\u043e\u0442 \u043a\u0440\u0430\u0442\u043a\u043e\u0435 \u043e\u043f\u0438\u0441\u0430\u043d\u0438\u0435 \u0442\u043e\u0433\u043e, \u043a\u0430\u043a \u044d\u0442\u043e \u0440\u0430\u0431\u043e\u0442\u0430\u0435\u0442:<\/p>\n

    \n
  1. LLM \u0442\u0438\u043f\u0430 GPT-3.5 Turbo \u0430\u043d\u0430\u043b\u0438\u0437\u0438\u0440\u0443\u0435\u0442 \u043e\u043f\u0438\u0441\u0430\u043d\u0438\u0435, \u0441\u0433\u0435\u043d\u0435\u0440\u0438\u0440\u043e\u0432\u0430\u043d\u043d\u043e\u0435 MLLM, \u0438 \u0438\u0437\u0432\u043b\u0435\u043a\u0430\u0435\u0442 \u043a\u043b\u044e\u0447\u0435\u0432\u044b\u0435 \u043f\u043e\u043d\u044f\u0442\u0438\u044f, \u0442\u0430\u043a\u0438\u0435 \u043a\u0430\u043a \u043e\u0431\u044a\u0435\u043a\u0442\u044b, \u043a\u043e\u043b\u0438\u0447\u0435\u0441\u0442\u0432\u0430 \u0438 \u0430\u0442\u0440\u0438\u0431\u0443\u0442\u044b. \u041d\u0430\u043f\u0440\u0438\u043c\u0435\u0440, \u0432 \u043f\u0440\u0435\u0434\u043b\u043e\u0436\u0435\u043d\u0438\u0438 \"\u041d\u0430 \u043c\u0443\u0436\u0447\u0438\u043d\u0435 \u043d\u0430\u0434\u0435\u0442\u0430 \u0447\u0435\u0440\u043d\u0430\u044f \u0448\u043b\u044f\u043f\u0430\" \u0438\u0437\u0432\u043b\u0435\u043a\u0430\u044e\u0442\u0441\u044f \u043e\u0431\u044a\u0435\u043a\u0442\u044b \"\u043c\u0443\u0436\u0447\u0438\u043d\u0430\" \u0438 \"\u0448\u043b\u044f\u043f\u0430\".<\/li>\n
  2. \u0417\u0430\u0442\u0435\u043c LLM \u043f\u0440\u0435\u0434\u043b\u0430\u0433\u0430\u0435\u0442\u0441\u044f \u0441\u0433\u0435\u043d\u0435\u0440\u0438\u0440\u043e\u0432\u0430\u0442\u044c \u0432\u043e\u043f\u0440\u043e\u0441\u044b, \u0441\u0432\u044f\u0437\u0430\u043d\u043d\u044b\u0435 \u0441 \u044d\u0442\u0438\u043c\u0438 \u043f\u043e\u043d\u044f\u0442\u0438\u044f\u043c\u0438, \u043d\u0430\u043f\u0440\u0438\u043c\u0435\u0440 \"\u0415\u0441\u0442\u044c \u043b\u0438 \u043d\u0430 \u0438\u0437\u043e\u0431\u0440\u0430\u0436\u0435\u043d\u0438\u0438 \u0447\u0435\u043b\u043e\u0432\u0435\u043a?\" \u0438\u043b\u0438 \"\u0412\u043e \u0447\u0442\u043e \u043e\u0434\u0435\u0442 \u0447\u0435\u043b\u043e\u0432\u0435\u043a?\".<\/li>\n
  3. \u042d\u0442\u0438 \u0432\u043e\u043f\u0440\u043e\u0441\u044b \u043f\u043e\u0441\u0442\u0443\u043f\u0430\u044e\u0442 \u0432 \u043a\u0430\u0447\u0435\u0441\u0442\u0432\u0435 \u043f\u043e\u0434\u0441\u043a\u0430\u0437\u043e\u043a \u0432 \u043c\u043e\u0434\u0435\u043b\u044c \u0432\u0438\u0437\u0443\u0430\u043b\u044c\u043d\u043e\u0433\u043e \u043e\u0442\u0432\u0435\u0442\u0430 \u043d\u0430 \u0432\u043e\u043f\u0440\u043e\u0441\u044b (VQA). Grounding DINO \u0432\u044b\u043f\u043e\u043b\u043d\u044f\u0435\u0442 \u043e\u0431\u043d\u0430\u0440\u0443\u0436\u0435\u043d\u0438\u0435 \u0438 \u043f\u043e\u0434\u0441\u0447\u0435\u0442 \u043e\u0431\u044a\u0435\u043a\u0442\u043e\u0432, \u0430 BLIP-2-FlanT5 VQA \u043e\u0442\u0432\u0435\u0447\u0430\u0435\u0442 \u043d\u0430 \u0432\u043e\u043f\u0440\u043e\u0441\u044b, \u0441\u0432\u044f\u0437\u0430\u043d\u043d\u044b\u0435 \u0441 \u0430\u0442\u0440\u0438\u0431\u0443\u0442\u0430\u043c\u0438, \u043f\u043e\u0441\u043b\u0435 \u0430\u043d\u0430\u043b\u0438\u0437\u0430 \u0438\u0437\u043e\u0431\u0440\u0430\u0436\u0435\u043d\u0438\u044f.<\/li>\n
  4. LLM \u043e\u0431\u044a\u0435\u0434\u0438\u043d\u044f\u0435\u0442 \u043e\u0442\u0432\u0435\u0442\u044b \u043d\u0430 \u0432\u043e\u043f\u0440\u043e\u0441\u044b \u0432 \u0432\u0438\u0437\u0443\u0430\u043b\u044c\u043d\u0443\u044e \u0431\u0430\u0437\u0443 \u0437\u043d\u0430\u043d\u0438\u0439 \u043e\u0431 \u0438\u0437\u043e\u0431\u0440\u0430\u0436\u0435\u043d\u0438\u0438.<\/li>\n
  5. LLM \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u0443\u0435\u0442 \u044d\u0442\u043e\u0442 \u0441\u043f\u0440\u0430\u0432\u043e\u0447\u043d\u044b\u0439 \u0441\u0432\u043e\u0434 \u0437\u043d\u0430\u043d\u0438\u0439, \u0447\u0442\u043e\u0431\u044b \u0438\u0441\u043f\u0440\u0430\u0432\u0438\u0442\u044c \u043b\u044e\u0431\u044b\u0435 \u0433\u0430\u043b\u043b\u044e\u0446\u0438\u043d\u0430\u0446\u0438\u0438 \u0432 \u043e\u0440\u0438\u0433\u0438\u043d\u0430\u043b\u044c\u043d\u043e\u043c \u043e\u043f\u0438\u0441\u0430\u043d\u0438\u0438 MLLM \u0438 \u0434\u043e\u0431\u0430\u0432\u0438\u0442\u044c \u0434\u0435\u0442\u0430\u043b\u0438, \u043a\u043e\u0442\u043e\u0440\u044b\u0435 \u043e\u043d \u0443\u043f\u0443\u0441\u0442\u0438\u043b.<\/li>\n<\/ol>\n
    \"\"
    \u041d\u0435\u043f\u0440\u0430\u0432\u0438\u043b\u044c\u043d\u044b\u0435 \u043e\u043f\u0438\u0441\u0430\u043d\u0438\u044f \u043e\u0442 MLLM \u0438 \u0438\u0441\u043f\u0440\u0430\u0432\u043b\u0435\u043d\u0438\u044f \u043e\u0442 Woodpecker. \u0418\u0441\u0442\u043e\u0447\u043d\u0438\u043a: arXiv<\/a><\/figcaption><\/figure>\n

    \u0418\u0441\u0441\u043b\u0435\u0434\u043e\u0432\u0430\u0442\u0435\u043b\u0438 \u043d\u0430\u0437\u0432\u0430\u043b\u0438 \u0441\u0432\u043e\u0439 \u043f\u043e\u0434\u0445\u043e\u0434 Woodpecker, \u0441\u0441\u044b\u043b\u0430\u044f\u0441\u044c \u043d\u0430 \u0442\u043e, \u043a\u0430\u043a \u044d\u0442\u0430 \u043f\u0442\u0438\u0446\u0430 \u0441\u043e\u0431\u0438\u0440\u0430\u0435\u0442 \u0436\u0443\u043a\u043e\u0432 \u0441 \u0434\u0435\u0440\u0435\u0432\u044c\u0435\u0432.<\/p>\n

    \u0420\u0435\u0437\u0443\u043b\u044c\u0442\u0430\u0442\u044b \u0442\u0435\u0441\u0442\u0438\u0440\u043e\u0432\u0430\u043d\u0438\u044f \u043f\u043e\u043a\u0430\u0437\u0430\u043b\u0438, \u0447\u0442\u043e Woodpecker \u0434\u043e\u0431\u0438\u043b\u0441\u044f \u043f\u043e\u0432\u044b\u0448\u0435\u043d\u0438\u044f \u0442\u043e\u0447\u043d\u043e\u0441\u0442\u0438 \u043d\u0430 30,66% \u0434\u043b\u044f MiniGPT4 \u0438 \u043d\u0430 24,33% \u0434\u043b\u044f \u043c\u043e\u0434\u0435\u043b\u0435\u0439 mPLUG-Owl.<\/p>\n

    \u041e\u0431\u0449\u0438\u0439 \u0445\u0430\u0440\u0430\u043a\u0442\u0435\u0440 \u043c\u043e\u0434\u0435\u043b\u0435\u0439, \u0442\u0440\u0435\u0431\u0443\u0435\u043c\u044b\u0445 \u0432 \u0434\u0430\u043d\u043d\u043e\u043c \u043f\u043e\u0434\u0445\u043e\u0434\u0435, \u043e\u0437\u043d\u0430\u0447\u0430\u0435\u0442, \u0447\u0442\u043e \u043f\u043e\u0434\u0445\u043e\u0434 Woodpecker \u043c\u043e\u0436\u0435\u0442 \u0431\u044b\u0442\u044c \u043b\u0435\u0433\u043a\u043e \u0438\u043d\u0442\u0435\u0433\u0440\u0438\u0440\u043e\u0432\u0430\u043d \u0432 \u0440\u0430\u0437\u043b\u0438\u0447\u043d\u044b\u0435 MLLM.<\/p>\n

    \u0415\u0441\u043b\u0438 OpenAI \u0438\u043d\u0442\u0435\u0433\u0440\u0438\u0440\u0443\u0435\u0442 Woodpecker \u0432 ChatGPT, \u0442\u043e \u043c\u044b \u0441\u043c\u043e\u0436\u0435\u043c \u0443\u0432\u0438\u0434\u0435\u0442\u044c \u0437\u0430\u043c\u0435\u0442\u043d\u043e\u0435 \u0443\u043b\u0443\u0447\u0448\u0435\u043d\u0438\u0435 \u0438 \u0431\u0435\u0437 \u0442\u043e\u0433\u043e \u0432\u043f\u0435\u0447\u0430\u0442\u043b\u044f\u044e\u0449\u0438\u0445 \u0432\u0438\u0437\u0443\u0430\u043b\u044c\u043d\u044b\u0445 \u0445\u0430\u0440\u0430\u043a\u0442\u0435\u0440\u0438\u0441\u0442\u0438\u043a. \u0423\u043c\u0435\u043d\u044c\u0448\u0435\u043d\u0438\u0435 \u0433\u0430\u043b\u043b\u044e\u0446\u0438\u043d\u0430\u0446\u0438\u0439 MLLM \u0442\u0430\u043a\u0436\u0435 \u043c\u043e\u0436\u0435\u0442 \u0443\u043b\u0443\u0447\u0448\u0438\u0442\u044c \u0430\u0432\u0442\u043e\u043c\u0430\u0442\u0438\u0437\u0438\u0440\u043e\u0432\u0430\u043d\u043d\u043e\u0435 \u043f\u0440\u0438\u043d\u044f\u0442\u0438\u0435 \u0440\u0435\u0448\u0435\u043d\u0438\u0439 \u0441\u0438\u0441\u0442\u0435\u043c\u0430\u043c\u0438, \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u0443\u044e\u0449\u0438\u043c\u0438 \u0432\u0438\u0437\u0443\u0430\u043b\u044c\u043d\u044b\u0435 \u043e\u043f\u0438\u0441\u0430\u043d\u0438\u044f \u0432 \u043a\u0430\u0447\u0435\u0441\u0442\u0432\u0435 \u0432\u0445\u043e\u0434\u043d\u044b\u0445 \u0434\u0430\u043d\u043d\u044b\u0445.<\/p>","protected":false},"excerpt":{"rendered":"

    \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, \u0434\u0435\u0439\u0441\u0442\u0432\u0438\u0442\u0435\u043b\u044c\u043d\u043e \u0445\u043e\u0440\u043e\u0448\u0438 \u0432 \u0430\u043d\u0430\u043b\u0438\u0437\u0435 \u0438 \u043e\u043f\u0438\u0441\u0430\u043d\u0438\u0438 \u0438\u0437\u043e\u0431\u0440\u0430\u0436\u0435\u043d\u0438\u0439, \u043d\u043e \u0438\u043d\u043e\u0433\u0434\u0430 \u043e\u043d\u0438 \u0433\u0430\u043b\u043b\u044e\u0446\u0438\u043d\u0438\u0440\u0443\u044e\u0442 \u0438 \u043e\u0448\u0438\u0431\u0430\u044e\u0442\u0441\u044f. \u041d\u043e\u0432\u044b\u0439 \u043f\u043e\u0434\u0445\u043e\u0434 \u043f\u043e\u0434 \u043d\u0430\u0437\u0432\u0430\u043d\u0438\u0435\u043c Woodpecker \u043c\u043e\u0436\u0435\u0442 \u044d\u0442\u043e \u0438\u0441\u043f\u0440\u0430\u0432\u0438\u0442\u044c. \u0415\u0441\u043b\u0438 \u0432\u044b \u043f\u043e\u043f\u0440\u043e\u0441\u0438\u0442\u0435 MLLM \u043e\u043f\u0438\u0441\u0430\u0442\u044c \u0444\u043e\u0442\u043e\u0433\u0440\u0430\u0444\u0438\u044e, \u043e\u043d, \u043a\u0430\u043a \u043f\u0440\u0430\u0432\u0438\u043b\u043e, \u0441\u043c\u043e\u0436\u0435\u0442 \u0432\u044b\u0434\u0435\u043b\u0438\u0442\u044c \u043e\u0431\u044a\u0435\u043a\u0442\u044b \u0438 \u0442\u043e\u0447\u043d\u043e \u043e\u043f\u0438\u0441\u0430\u0442\u044c \u0441\u0446\u0435\u043d\u0443. \u041d\u043e, \u043a\u0430\u043a \u0438 \u0432 \u0441\u043b\u0443\u0447\u0430\u0435 \u0441 \u043e\u0442\u0432\u0435\u0442\u0430\u043c\u0438 \u043d\u0430 \u0442\u0435\u043a\u0441\u0442\u043e\u0432\u044b\u0435 \u043f\u043e\u0434\u0441\u043a\u0430\u0437\u043a\u0438, \u043c\u043e\u0434\u0435\u043b\u044c \u0438\u043d\u043e\u0433\u0434\u0430 \u0434\u0435\u043b\u0430\u0435\u0442 \u043f\u0440\u0435\u0434\u043f\u043e\u043b\u043e\u0436\u0435\u043d\u0438\u044f, \u043e\u0441\u043d\u043e\u0432\u044b\u0432\u0430\u044f\u0441\u044c \u043d\u0430 \u043f\u0440\u0435\u0434\u043c\u0435\u0442\u0430\u0445 \u0438\u043b\u0438 \u043f\u043e\u043d\u044f\u0442\u0438\u044f\u0445, \u043a\u043e\u0442\u043e\u0440\u044b\u0435 \u0447\u0430\u0441\u0442\u043e \u0432\u0441\u0442\u0440\u0435\u0447\u0430\u044e\u0442\u0441\u044f \u0432\u043c\u0435\u0441\u0442\u0435. \u0412 \u0440\u0435\u0437\u0443\u043b\u044c\u0442\u0430\u0442\u0435 \u041c\u041b\u041b\u041c \u043c\u043e\u0436\u0435\u0442 \u043e\u043f\u0438\u0441\u0430\u0442\u044c \u0444\u043e\u0442\u043e\u0433\u0440\u0430\u0444\u0438\u044e \u0432\u0438\u0442\u0440\u0438\u043d\u044b \u043c\u0430\u0433\u0430\u0437\u0438\u043d\u0430 \u0438 \u0441\u043a\u0430\u0437\u0430\u0442\u044c, \u0447\u0442\u043e \u043d\u0430 \u043d\u0435\u0439 \u0435\u0441\u0442\u044c \u043b\u044e\u0434\u0438, \u0445\u043e\u0442\u044f \u043d\u0430 \u0441\u0430\u043c\u043e\u043c \u0434\u0435\u043b\u0435 \u0438\u0445 \u043d\u0435\u0442. \u0418\u0441\u043f\u0440\u0430\u0432\u043b\u0435\u043d\u0438\u0435<\/p>","protected":false},"author":6,"featured_media":6783,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[84],"tags":[166,450],"class_list":["post-6777","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-industry","tag-computer-vision","tag-mllm"],"yoast_head":"\nWoodpecker could solve multimodal LLM hallucinations | 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\/2023\/10\/woodpecker-could-solve-multimodal-llm-hallucinations\/\" \/>\n<meta property=\"og:locale\" content=\"ru_RU\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Woodpecker could solve multimodal LLM hallucinations | DailyAI\" \/>\n<meta property=\"og:description\" content=\"Multimodal Large Language Models (MLLM) like GPT-4V are really good at analyzing and describing images but sometimes they hallucinate and get things wrong. A new approach called Woodpecker could fix that. If you ask an MLLM to describe a photo it can normally pick out the objects and accurately describe the scene. But as with answers to text prompts, the model sometimes makes assumptions based on items or concepts that often appear together. As a result, an MLLM could describe a photo of a shopfront scene and say there are people in the scene when there actually aren\u2019t any. 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