{"id":118790,"date":"2024-08-01T15:43:32","date_gmt":"2024-08-01T13:43:32","guid":{"rendered":"https:\/\/prohoster.info\/blog\/novosti-interneta\/google-predstavila-kompaktnuyu-yazykovuyu-model-gemma-2-2b-kotoraya-prevoshodit-gpt-3-5-turbo"},"modified":"2024-08-01T15:43:32","modified_gmt":"2024-08-01T13:43:32","slug":"google-predstavila-kompaktnuyu-yazykovuyu-model-gemma-2-2b-kotoraya-prevoshodit-gpt-3-5-turbo","status":"publish","type":"post","link":"https:\/\/prohoster.info\/hr\/blog\/news\/google-predstavila-kompaktnuyu-yazykovuyu-model-gemma-2-2b-kotoraya-prevoshodit-gpt-3-5-turbo","title":{"rendered":"Google je predstavio kompaktni jezi\u010dni model Gemma 2 2B, koji nadma\u0161uje GPT 3.5 Turbo","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"<p>Tvrtka Google <noindex><a rel=\"nofollow noopener\" href=\"https:\/\/developers.googleblog.com\/en\/smaller-safer-more-transparent-advancing-responsible-ai-with-gemma\/\" target=\"_blank\">predstavila<\/a><\/noindex> Gemma 2 2B \u2014 kompaktni, ali mo\u0107ni jezikovni model umjetne inteligencije (LLM) koji mo\u017ee konkurirati liderima industrije, unato\u010d znatno manjoj veli\u010dini. Novi je jezikovni model sa samo 2,6 milijardi parametara, koji pokazuje performanse koje nisu lo\u0161ije od mnogo ve\u0107ih konkurenata, uklju\u010duju\u0107i OpenAI GPT-3.5 i Mistral AI Mixtral 8x7B.<\/p>\n<p><center><\/center> \t\t\t\t  <img decoding=\"async\" alt=\"Google je predstavio kompaktni jezi\u010dni model Gemma 2 2B, koji nadma\u0161uje GPT 3.5 Turbo\" src=\"\/wp-content\/uploads\/2024\/08\/bf57e46081c2b08f8962c4d021622033.jpg\" style=\"display:block;margin: 0 auto;\" \/>    <\/p>\n<p>Na testu LMSYS Chatbot Arena, popularnoj online platformi za usporedno testiranje i procjenu kvalitete modela umjetne inteligencije, Gemma 2 2B osvojila je 1130 bodova. Ovaj rezultat malo nadma\u0161uje rezultate GPT-3.5-Turbo-0613 (1117 bodova) i Mixtral-8x7B (1114 bodova) \u2014 modela koji imaju deset puta vi\u0161e parametara.<\/p>\n<p> <img decoding=\"async\" alt=\"Google je predstavio kompaktni jezi\u010dni model Gemma 2 2B, koji nadma\u0161uje GPT 3.5 Turbo\" src=\"\/wp-content\/uploads\/2024\/08\/bfe952fb8eff5abf88d67f7b1a06a1d4.png\" style=\"display:block;margin: 0 auto;\" \/> <\/p>\n<p>Google izvje\u0161tava da je Gemma 2 2B tako\u0111er osvojila 56,1 bod u MMLU (Massive Multitask Language Understanding) testu i 36,6 bodova u MBPP (Mostly Basic Python Programming) testu, \u0161to predstavlja zna\u010dajno pobolj\u0161anje u odnosu na prethodnu verziju. <\/p>\n<p><center><\/center> <\/p>\n<p>Gemma 2 2B dovodi u pitanje op\u0107eprihva\u0107eno vjerovanje da ve\u0107i jezikovni modeli izvorno rade bolje od kompaktnih. Performanse Gemma 2 2B pokazuju da slo\u017eene metode u\u010denja, u\u010dinkovitost arhitekture i visokokvalitetni skupovi podataka mogu nadoknaditi manjak u broju parametara. Razvoj Gemma 2 2B tako\u0111er isti\u010de rastu\u0107i zna\u010daj metoda kompresije i destilacije AI modela. Mogu\u0107nost u\u010dinkovite kompilacije informacija iz ve\u0107ih modela u manje otvara mogu\u0107nosti za stvaranje pristupa\u010dnijih AI alata, pri \u010demu se ne \u017ertvuje njihova u\u010dinkovitost.<\/p>\n<p>Google je obu\u010dio Gemma 2 2B na ogromnom skupu podataka od 2 trilijuna tokena, koriste\u0107i sustave temeljen na svojim vlastitim AI akceleratorima TPU v5e. Podr\u0161ka za vi\u0161e jezika pro\u0161iruje njezin potencijal za primjenu u globalnim aplikacijama. Model Gemma 2 2B je open source. Istra\u017eiva\u010di i dizajneri mogu pristupiti modelu putem platforme <noindex><a rel=\"nofollow noopener\" href=\"https:\/\/huggingface.co\/spaces\/huggingface-projects\/gemma-2-2b-it\" target=\"_blank\">Hugging Face<\/a><\/noindex>. Tako\u0111er podr\u017eava razli\u010dite okvire, uklju\u010duju\u0107i <noindex><a rel=\"nofollow noopener\" href=\"https:\/\/huggingface.co\/google\/gemma-2-2b-it\" target=\"_blank\">PyTorch<\/a><\/noindex> i <noindex><a rel=\"nofollow noopener\" href=\"https:\/\/huggingface.co\/google\/gemma-2-2b-it\" target=\"_blank\">TensorFlow<\/a><\/noindex>.<\/p>\n<p><strong>Izvor:<\/strong><\/p>\n<ul class=\"related\">\n<li><noindex><a rel=\"nofollow noopener\" href=\"http:\/\/venturebeat.com\/\" target=\"_blank\" title=\"Venture Beat\">Venture Beat<\/a><\/noindex><\/li>\n<\/ul>\n<p> \t       <center>     <center>    <\/center>     <center>   <\/center>     <\/center>  <center>     <\/center>                \t\t\t \t\t\t\t<center> \t\t\t\t     \t\t\t\t<\/center><br \/>Izvor: <a content=\"nofollow\" rel=\"nofollow\" href=\"https:\/\/3dnews.ru\/1108849\">3dnews.ru<\/a> <\/p>","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"excerpt":{"rendered":"<p>\u041a\u043e\u043c\u043f\u0430\u043d\u0438\u044f Google \u043f\u0440\u0435\u0434\u0441\u0442\u0430\u0432\u0438\u043b\u0430 Gemma 2 2B &mdash; \u043a\u043e\u043c\u043f\u0430\u043a\u0442\u043d\u0443\u044e, \u043d\u043e \u043c\u043e\u0449\u043d\u0443\u044e \u044f\u0437\u044b\u043a\u043e\u0432\u0443\u044e \u043c\u043e\u0434\u0435\u043b\u044c \u0438\u0441\u043a\u0443\u0441\u0441\u0442\u0432\u0435\u043d\u043d\u043e\u0433\u043e \u0438\u043d\u0442\u0435\u043b\u043b\u0435\u043a\u0442\u0430 (LLM), \u043a\u043e\u0442\u043e\u0440\u0430\u044f \u043c\u043e\u0436\u0435\u0442 \u0441\u043e\u0441\u0442\u0430\u0432\u0438\u0442\u044c \u043a\u043e\u043d\u043a\u0443\u0440\u0435\u043d\u0446\u0438\u044e \u043b\u0438\u0434\u0435\u0440\u0430\u043c \u043e\u0442\u0440\u0430\u0441\u043b\u0438, \u043d\u0435\u0441\u043c\u043e\u0442\u0440\u044f \u043d\u0430 \u0441\u0432\u043e\u0439 \u0437\u043d\u0430\u0447\u0438\u0442\u0435\u043b\u044c\u043d\u043e \u043c\u0435\u043d\u044c\u0448\u0438\u0439 \u0440\u0430\u0437\u043c\u0435\u0440. \u041d\u043e\u0432\u0430\u044f \u044f\u0437\u044b\u043a\u043e\u0432\u0430\u044f \u043c\u043e\u0434\u0435\u043b\u044c, \u0441\u043e\u0434\u0435\u0440\u0436\u0430\u0449\u0430\u044f \u0432\u0441\u0435\u0433\u043e 2,6 \u043c\u0438\u043b\u043b\u0438\u0430\u0440\u0434\u0430 \u043f\u0430\u0440\u0430\u043c\u0435\u0442\u0440\u043e\u0432, \u0434\u0435\u043c\u043e\u043d\u0441\u0442\u0440\u0438\u0440\u0443\u0435\u0442 \u043f\u0440\u043e\u0438\u0437\u0432\u043e\u0434\u0438\u0442\u0435\u043b\u044c\u043d\u043e\u0441\u0442\u044c \u043d\u0435 \u0445\u0443\u0436\u0435 \u0433\u043e\u0440\u0430\u0437\u0434\u043e \u0431\u043e\u043b\u0435\u0435 \u043a\u0440\u0443\u043f\u043d\u044b\u0445 \u0430\u043d\u0430\u043b\u043e\u0433\u043e\u0432, \u0432\u043a\u043b\u044e\u0447\u0430\u044f OpenAI GPT-3.5 \u0438 Mistral AI Mixtral 8x7B. \u0412 \u0442\u0435\u0441\u0442\u0435 LMSYS Chatbot [&hellip;]<\/p>\n","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"author":1,"featured_media":118791,"comment_status":"","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[702],"tags":[],"class_list":["post-118790","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-news"],"aioseo_notices":[],"aioseo_head":"\n\t\t<!-- All in One SEO 5.0.4 - aioseo.com -->\n\t<meta name=\"description\" content=\"\u041a\u043e\u043c\u043f\u0430\u043d\u0438\u044f Google \u043f\u0440\u0435\u0434\u0441\u0442\u0430\u0432\u0438\u043b\u0430 Gemma 2 2B.\" \/>\n\t<meta name=\"robots\" content=\"max-image-preview:large\" \/>\n\t<meta name=\"author\" content=\"Yuri Gagarin\"\/>\n\t<link rel=\"canonical\" href=\"https:\/\/prohoster.info\/hr\/blog\/news\/google-predstavila-kompaktnuyu-yazykovuyu-model-gemma-2-2b-kotoraya-prevoshodit-gpt-3-5-turbo\" \/>\n\t\t<meta 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