{"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\/ro\/blog\/news\/google-predstavila-kompaktnuyu-yazykovuyu-model-gemma-2-2b-kotoraya-prevoshodit-gpt-3-5-turbo","title":{"rendered":"Google a lansat modelul de limbaj compact Gemma 2 2B, care dep\u0103\u0219e\u0219te GPT 3.5 Turbo","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"<p>Compania Google <noindex><a rel=\"nofollow noopener\" href=\"https:\/\/developers.googleblog.com\/en\/smaller-safer-more-transparent-advancing-responsible-ai-with-gemma\/\" target=\"_blank\">a prezentat<\/a><\/noindex> Gemma 2 2B \u2014 un model de limbaj compact, dar puternic, care utilizeaz\u0103 inteligen\u021ba artificial\u0103 (LLM) \u0219i care poate rivaliza cu liderii din industrie, \u00een ciuda dimensiunii sale semnificativ mai mici. Noua model de limbaj, cu doar 2,6 miliarde de parametri, demonstreaz\u0103 o performan\u021b\u0103 comparabil\u0103 cu mult mai mari analogi, inclusiv OpenAI GPT-3.5 \u0219i Mistral AI Mixtral 8x7B.<\/p>\n<p><center><\/center> \t\t\t\t  <img decoding=\"async\" alt=\"Google a lansat modelul de limbaj compact Gemma 2 2B, care dep\u0103\u0219e\u0219te GPT 3.5 Turbo\" src=\"\/wp-content\/uploads\/2024\/08\/bf57e46081c2b08f8962c4d021622033.jpg\" style=\"display:block;margin: 0 auto;\" \/>    <\/p>\n<p>\u00cen testul LMSYS Chatbot Arena, o platform\u0103 online popular\u0103 pentru testarea comparativ\u0103 \u0219i evaluarea calit\u0103\u021bii modelelor de inteligen\u021b\u0103 artificial\u0103, Gemma 2 2B a ob\u021binut 1130 de puncte. Acest rezultat dep\u0103\u0219e\u0219te u\u0219or scorurile ob\u021binute de GPT-3.5-Turbo-0613 (1117 puncte) \u0219i Mixtral-8x7B (1114 puncte) \u2014 modele care dispun de un num\u0103r de zece ori mai mare de parametri.<\/p>\n<p> <img decoding=\"async\" alt=\"Google a lansat modelul de limbaj compact Gemma 2 2B, care dep\u0103\u0219e\u0219te GPT 3.5 Turbo\" src=\"\/wp-content\/uploads\/2024\/08\/bfe952fb8eff5abf88d67f7b1a06a1d4.png\" style=\"display:block;margin: 0 auto;\" \/> <\/p>\n<p>Google raporteaz\u0103 c\u0103 Gemma 2 2B a ob\u021binut, de asemenea, 56,1 puncte \u00een testul MMLU (Massive Multitask Language Understanding) \u0219i 36,6 puncte \u00een testul MBPP (Mostly Basic Python Programming), ceea ce reprezint\u0103 o \u00eembun\u0103t\u0103\u021bire semnificativ\u0103 comparativ cu versiunea anterioar\u0103. <\/p>\n<p><center><\/center> <\/p>\n<p>Gemma 2 2B contest\u0103 ideea general acceptat\u0103 c\u0103 modelele lingvistice mai mari func\u021bioneaz\u0103 ini\u021bial mai bine dec\u00e2t cele compacte. Performan\u021ba Gemma 2 2B arat\u0103 c\u0103 metodele de \u00eenv\u0103\u021bare avansate, eficien\u021ba arhitecturii \u0219i seturile de date de \u00eenalt\u0103 calitate pot compensa lipsa de parametri. Dezvoltarea Gemma 2 2B subliniaz\u0103, de asemenea, importan\u021ba tot mai mare a metodelor de comprimare \u0219i distilare a modelelor de AI. Capacitatea de a compile informa\u021bii eficient din modele mai mari \u00een altele mai mici deschide oportunit\u0103\u021bi pentru crearea unor instrumente AI mai accesibile, f\u0103r\u0103 a compromite performan\u021ba acestora.<\/p>\n<p>Google a antrenat Gemma 2 2B pe un set uria\u0219 de date format din 2 trilioane de tokeni, folosind sisteme bazate pe acceleratoarele de AI TPU v5e. Suportul pentru mai multe limbi \u00eei extinde poten\u021bialul pentru aplica\u021bii globale. Modelul Gemma 2 2B are cod surs\u0103 deschis. Cercet\u0103torii \u0219i dezvoltatorii pot accesa modelul prin platforma <noindex><a rel=\"nofollow noopener\" href=\"https:\/\/huggingface.co\/spaces\/huggingface-projects\/gemma-2-2b-it\" target=\"_blank\">Hugging Face<\/a><\/noindex>. De asemenea, acesta suport\u0103 diverse cadre, inclusiv <noindex><a rel=\"nofollow noopener\" href=\"https:\/\/huggingface.co\/google\/gemma-2-2b-it\" target=\"_blank\">PyTorch<\/a><\/noindex> \u0219i <noindex><a rel=\"nofollow noopener\" href=\"https:\/\/huggingface.co\/google\/gemma-2-2b-it\" target=\"_blank\">TensorFlow<\/a><\/noindex>.<\/p>\n<p><strong>Sursa:<\/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 \/>Sursa: <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 5.0.2.1 - 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\/ro\/blog\/news\/google-predstavila-kompaktnuyu-yazykovuyu-model-gemma-2-2b-kotoraya-prevoshodit-gpt-3-5-turbo\" \/>\n\t<meta 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