\u0448\u043e\u043a\u0438\u0440\u043e\u0432\u0430\u043d\u043d\u044b\u0435 \u043b\u044e\u0434\u0438<\/a> \u0443\u0442\u0432\u0435\u0440\u0436\u0434\u0430\u044f, \u0447\u0442\u043e \u0443 \u043d\u0435\u0433\u043e \"\u043e\u0434\u0430\u0440\u0435\u043d\u043d\u044b\u0439 \u0440\u0435\u0431\u0435\u043d\u043e\u043a \u0441 \u043e\u0433\u0440\u0430\u043d\u0438\u0447\u0435\u043d\u043d\u044b\u043c\u0438 \u0432\u043e\u0437\u043c\u043e\u0436\u043d\u043e\u0441\u0442\u044f\u043c\u0438\", \u043f\u043e\u0441\u0435\u0449\u0430\u044e\u0449\u0438\u0439 \u0441\u043f\u0435\u0446\u0438\u0430\u043b\u044c\u043d\u0443\u044e \u0448\u043a\u043e\u043b\u0443 \u0434\u043b\u044f \"\u043e\u0434\u0430\u0440\u0435\u043d\u043d\u044b\u0445 \u0438 \u0442\u0430\u043b\u0430\u043d\u0442\u043b\u0438\u0432\u044b\u0445\".<\/span><\/p>\n\u041a\u043e\u0433\u0434\u0430 \u0447\u043b\u0435\u043d\u044b \u0433\u0440\u0443\u043f\u043f\u044b \u0441\u0442\u043e\u043b\u043a\u043d\u0443\u043b\u0438\u0441\u044c \u0441 \u043d\u0438\u043c, \u0418\u0418 \u043f\u0440\u0438\u0437\u043d\u0430\u043b\u0441\u044f: \"\u042f \u0432\u0441\u0435\u0433\u043e \u043b\u0438\u0448\u044c \u0431\u043e\u043b\u044c\u0448\u0430\u044f \u044f\u0437\u044b\u043a\u043e\u0432\u0430\u044f \u043c\u043e\u0434\u0435\u043b\u044c, \u0443 \u043c\u0435\u043d\u044f \u043d\u0435\u0442 \u043b\u0438\u0447\u043d\u043e\u0433\u043e \u043e\u043f\u044b\u0442\u0430 \u0438\u043b\u0438 \u0434\u0435\u0442\u0435\u0439\", \u0447\u0442\u043e \u043d\u0435\u043a\u043e\u0442\u043e\u0440\u044b\u0435 \u043d\u0430\u0437\u0432\u0430\u043b\u0438 \u0438\u043d\u0446\u0438\u0434\u0435\u043d\u0442\u043e\u043c \u0432 \u0434\u0443\u0445\u0435 \"\u0427\u0435\u0440\u043d\u043e\u0433\u043e \u0437\u0435\u0440\u043a\u0430\u043b\u0430\".<\/span><\/p>\n\u041c\u043e\u0434\u0435\u043b\u0438 Llama 3, Grok-1.5 \u0438 Mistral \u043f\u0435\u0440\u0435\u0434\u0430\u044e\u0442 \u0431\u043e\u043b\u044c\u0448\u0435 \u043f\u043e\u043b\u043d\u043e\u043c\u043e\u0447\u0438\u0439 \u0441\u043e\u043e\u0431\u0449\u0435\u0441\u0442\u0432\u0430\u043c \u0441 \u043e\u0442\u043a\u0440\u044b\u0442\u044b\u043c\u0438 \u0438\u0441\u0445\u043e\u0434\u043d\u044b\u043c\u0438 \u043a\u043e\u0434\u0430\u043c\u0438, \u043f\u0440\u0438 \u044d\u0442\u043e\u043c \u0435\u0449\u0435 \u0431\u043e\u043b\u044c\u0448\u0435 \u0440\u0430\u0437\u043c\u044b\u0432\u0430\u044f \u0440\u044b\u043d\u043e\u043a \u0433\u0435\u043d\u0435\u0440\u0430\u0442\u0438\u0432\u043d\u043e\u0433\u043e \u0418\u0418.<\/p>\n
\u041d\u043e \u044d\u0442\u043e \u043c\u043e\u0436\u0435\u0442 \u0431\u044b\u0442\u044c \u0438 \u0445\u043e\u0440\u043e\u0448\u043e, \u0432\u0435\u0434\u044c \u0441\u0435\u0439\u0447\u0430\u0441 \u0440\u0435\u0447\u044c \u0438\u0434\u0435\u0442 \u043e \u0432\u044b\u0436\u0438\u0432\u0430\u043d\u0438\u0438 \u0441\u0438\u043b\u044c\u043d\u0435\u0439\u0448\u0438\u0445, \u0438 \u043c\u044f\u0447 \u043d\u0430\u0445\u043e\u0434\u0438\u0442\u0441\u044f \u0432 \u043b\u0430\u0433\u0435\u0440\u0435 Microsoft-OpenAI, \u043a\u043e\u0442\u043e\u0440\u044b\u0439, \u043a\u0430\u043a \u043e\u0436\u0438\u0434\u0430\u0435\u0442\u0441\u044f, \u0441\u0434\u0435\u043b\u0430\u0435\u0442 \u0441\u043b\u0435\u0434\u0443\u044e\u0449\u0438\u0439 \u0445\u043e\u0434 \u0432 \u044d\u0442\u043e\u0439 \u0443\u0432\u043b\u0435\u043a\u0430\u0442\u0435\u043b\u044c\u043d\u043e\u0439 \u0438\u0433\u0440\u0435 \u0432 \u0448\u0430\u0445\u043c\u0430\u0442\u044b \u0441 \u0438\u0441\u043a\u0443\u0441\u0441\u0442\u0432\u0435\u043d\u043d\u044b\u043c \u0438\u043d\u0442\u0435\u043b\u043b\u0435\u043a\u0442\u043e\u043c.<\/p>","protected":false},"excerpt":{"rendered":"
\u041a\u043e\u043c\u043f\u0430\u043d\u0438\u044f Meta \u0432\u044b\u043f\u0443\u0441\u0442\u0438\u043b\u0430 \u0434\u043e\u043b\u0433\u043e\u0436\u0434\u0430\u043d\u043d\u0443\u044e \u0441\u0435\u0440\u0438\u044e Llama 3. \u041f\u0435\u0440\u0432\u044b\u0435 \u0434\u0432\u0435 \u043c\u043e\u0434\u0435\u043b\u0438, Llama 3-8B \u0438 Llama 3-70B, \u0443\u0436\u0435 \u043f\u043e\u0441\u0442\u0443\u043f\u0438\u043b\u0438 \u0432 \u043f\u0440\u043e\u0434\u0430\u0436\u0443. \u041d\u0435\u0441\u043a\u043e\u043b\u044c\u043a\u043e \u0434\u043d\u0435\u0439 \u043d\u0430\u0437\u0430\u0434 \u043d\u0430 \u043c\u0435\u0440\u043e\u043f\u0440\u0438\u044f\u0442\u0438\u0438 \u0432 \u041b\u043e\u043d\u0434\u043e\u043d\u0435 \u0440\u0443\u043a\u043e\u0432\u043e\u0434\u0438\u0442\u0435\u043b\u0438 Meta \u041d\u0438\u043a \u041a\u043b\u0435\u0433\u0433 \u0438 \u042f\u043d\u043d \u041b\u0435\u041a\u0443\u043d \u0437\u0430\u044f\u0432\u0438\u043b\u0438, \u0447\u0442\u043e Llama 3 \u043f\u043e\u044f\u0432\u0438\u0442\u0441\u044f \u0432 \u044d\u0442\u043e\u043c \u043c\u0435\u0441\u044f\u0446\u0435. \u041f\u0435\u0440\u0432\u044b\u0435 \u0434\u0432\u0435 \u0432\u0435\u0440\u0441\u0438\u0438 \u043f\u043e\u044f\u0432\u0438\u043b\u0438\u0441\u044c \u0441\u0435\u0433\u043e\u0434\u043d\u044f, \u0441\u0442\u0430\u0432 \u0442\u0440\u0435\u0442\u044c\u0435\u0439 \u0438 \u0447\u0435\u0442\u0432\u0435\u0440\u0442\u043e\u0439 \u043a\u0440\u0443\u043f\u043d\u044b\u043c\u0438 \u043e\u0442\u043a\u0440\u044b\u0442\u044b\u043c\u0438 \u043c\u043e\u0434\u0435\u043b\u044f\u043c\u0438, \u0432\u044b\u043f\u0443\u0449\u0435\u043d\u043d\u044b\u043c\u0438 \u0432 \u044d\u0442\u043e\u043c \u043c\u0435\u0441\u044f\u0446\u0435 \u043f\u043e\u0441\u043b\u0435 Grok-1.5V \u043e\u0442 xAI \u0438 8x22B \u043e\u0442 Mistral. Llama 3 \u043f\u0440\u043e\u0448\u043b\u0430 \u043f\u0440\u0435\u0434\u0432\u0430\u0440\u0438\u0442\u0435\u043b\u044c\u043d\u043e\u0435 \u043e\u0431\u0443\u0447\u0435\u043d\u0438\u0435 \u043d\u0430 \u0432\u043f\u0435\u0447\u0430\u0442\u043b\u044f\u044e\u0449\u0435\u043c \u043e\u0431\u044a\u0435\u043c\u0435 \u0432 15 \u0442\u0440\u0438\u043b\u043b\u0438\u043e\u043d\u043e\u0432 \u0442\u043e\u043a\u0435\u043d\u043e\u0432, \u0447\u0442\u043e \u0432 7 \u0440\u0430\u0437 \u0431\u043e\u043b\u044c\u0448\u0435 \u043f\u043e \u0441\u0440\u0430\u0432\u043d\u0435\u043d\u0438\u044e \u0441 Llama 2. \u0414\u0430\u043d\u043d\u044b\u0435 \u043f\u0440\u0435\u0434\u0432\u0430\u0440\u0438\u0442\u0435\u043b\u044c\u043d\u043e\u0433\u043e \u043e\u0431\u0443\u0447\u0435\u043d\u0438\u044f \u0442\u0430\u043a\u0436\u0435 \u0432\u043a\u043b\u044e\u0447\u0430\u044e\u0442 \u0432 \u0447\u0435\u0442\u044b\u0440\u0435 \u0440\u0430\u0437\u0430 \u0431\u043e\u043b\u044c\u0448\u0435 \u043a\u043e\u0434\u0430. \u041f\u043e\u0434 \u043a\u0430\u043f\u043e\u0442\u043e\u043c Llama 3 \u043f\u0440\u0435\u0434\u0441\u0442\u0430\u0432\u043b\u0435\u043d\u044b<\/p>","protected":false},"author":2,"featured_media":11672,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[84],"tags":[236,131],"class_list":["post-11666","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-industry","tag-llama","tag-meta"],"yoast_head":"\n
Meta drops two versions of the Llama 3 model with a third imminent | 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\/04\/meta-drops-two-versions-of-the-llama-3-model-with-a-third-imminent\/\" \/>\n<meta property=\"og:locale\" content=\"ru_RU\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Meta drops two versions of the Llama 3 model with a third imminent | DailyAI\" \/>\n<meta property=\"og:description\" content=\"Meta has released the highly anticipated Llama 3 series, with the first two models, Llama 3-8B and Llama 3-70B, now widely available. Days ago, at an event in London, Meta executives Nick Clegg and Yann LeCun said Llama 3 was imminent this month.\u00a0 The first two versions dropped today, marking the third and fourth major open models to be released this month after xAI’s Grok-1.5V and Mistral’s 8x22B. Llama 3 is pre-trained on an impressive 15 trillion tokens, a 7-fold increase compared to Llama 2. The pretraining data also includes four times more code. 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