{"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\/hu\/blog\/news\/google-predstavila-kompaktnuyu-yazykovuyu-model-gemma-2-2b-kotoraya-prevoshodit-gpt-3-5-turbo","title":{"rendered":"A Google bemutatta a kompakt Gemma 2 2B nyelvi modellt, amely fel\u00fclm\u00falja a GPT 3.5 Turbo-t","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"<p>A Google v\u00e1llalat <noindex><a rel=\"nofollow noopener\" href=\"https:\/\/developers.googleblog.com\/en\/smaller-safer-more-transparent-advancing-responsible-ai-with-gemma\/\" target=\"_blank\">bemutatta<\/a><\/noindex> A Gemma 2 2B egy kompakt, de er\u0151teljes mesters\u00e9ges intelligencia nyelvi modell (LLM), amely versenyezni tud az ipar\u00e1g vezet\u0151ivel, annak ellen\u00e9re, hogy jelent\u0151sen kisebb m\u00e9ret\u0171. Az \u00faj nyelvi modell, amely mind\u00f6ssze 2,6 milli\u00e1rd param\u00e9tert tartalmaz, nem mutat gyeng\u00e9bb teljes\u00edtm\u00e9nyt, mint sokkal nagyobb megfelel\u0151i, bele\u00e9rtve az OpenAI GPT-3.5-\u00f6t \u00e9s a Mistral AI Mixtral 8x7B-t.<\/p>\n<p><center><\/center> \t\t\t\t  <img decoding=\"async\" alt=\"A Google bemutatta a kompakt Gemma 2 2B nyelvi modellt, amely fel\u00fclm\u00falja a GPT 3.5 Turbo-t\" src=\"\/wp-content\/uploads\/2024\/08\/bf57e46081c2b08f8962c4d021622033.jpg\" style=\"display:block;margin: 0 auto;\" \/>    <\/p>\n<p>A LMSYS Chatbot Arena tesztj\u00e9n, egy n\u00e9pszer\u0171 online platformon, amely mesters\u00e9ges intelligencia modellek \u00f6sszehasonl\u00edt\u00f3 tesztel\u00e9s\u00e9re \u00e9s min\u0151s\u00edt\u00e9s\u00e9re szolg\u00e1l, a Gemma 2 2B 1130 pontot \u00e9rt el. Ez az eredm\u00e9ny kiss\u00e9 meghaladja a GPT-3.5-Turbo-0613 (1117 pont) \u00e9s a Mixtral-8x7B (1114 pont) eredm\u00e9nyeit, amelyek t\u00edzszer nagyobb param\u00e9terekkel rendelkeznek.<\/p>\n<p> <img decoding=\"async\" alt=\"A Google bemutatta a kompakt Gemma 2 2B nyelvi modellt, amely fel\u00fclm\u00falja a GPT 3.5 Turbo-t\" src=\"\/wp-content\/uploads\/2024\/08\/bfe952fb8eff5abf88d67f7b1a06a1d4.png\" style=\"display:block;margin: 0 auto;\" \/> <\/p>\n<p>A Google t\u00e1j\u00e9koztat\u00e1sa szerint a Gemma 2 2B szint\u00e9n 56,1 pontot \u00e9rt el az MMLU (Massive Multitask Language Understanding) teszten, \u00e9s 36,6 pontot a MBPP (Mostly Basic Python Programming) teszten, ami jelent\u0151s javul\u00e1st mutat a kor\u00e1bbi verzi\u00f3hoz k\u00e9pest. <\/p>\n<p><center><\/center> <\/p>\n<p>A Gemma 2 2B megk\u00e9rd\u0151jelezi azt a sz\u00e9les k\u00f6rben elterjedt v\u00e9lem\u00e9nyt, hogy a nagyobb nyelvi modellek kezdetben jobban teljes\u00edtenek, mint a kompaktak. A Gemma 2 2B teljes\u00edtm\u00e9nye azt mutatja, hogy a bonyolult tanul\u00e1si m\u00f3dszerek, az architekt\u00fara hat\u00e9konys\u00e1ga \u00e9s a magas min\u0151s\u00e9g\u0171 adathalmoz\u00f3k kompenz\u00e1lhatj\u00e1k a param\u00e9terek sz\u00e1m\u00e1nak hi\u00e1ny\u00e1t. A Gemma 2 2B fejleszt\u00e9se hangs\u00falyozza a mesters\u00e9ges intelligencia modellek t\u00f6m\u00f6r\u00edt\u00e9s\u00e9re \u00e9s desztill\u00e1l\u00e1s\u00e1ra kidolgozott m\u00f3dszerek n\u00f6vekv\u0151 fontoss\u00e1g\u00e1t is. A nagyobb modellekb\u0151l a kisebbekbe t\u00f6rt\u00e9n\u0151 inform\u00e1ci\u00f3hat\u00e9kony \u00e1t\u00edr\u00e1s lehet\u0151s\u00e9ge hozz\u00e1f\u00e9rhet\u0151bb AI eszk\u00f6z\u00f6k l\u00e9trehoz\u00e1s\u00e1nak lehet\u0151s\u00e9g\u00e9t ny\u00fajtja an\u00e9lk\u00fcl, hogy fel\u00e1ldozn\u00e1k a teljes\u00edtm\u00e9ny\u00fcket.<\/p>\n<p>A Google a Gemma 2 2B-t 2 billi\u00f3 tokenb\u0151l \u00e1ll\u00f3 hatalmas adathalmazon k\u00e9pezte, saj\u00e1t TPU v5e AI gyors\u00edt\u00f3kra \u00e9p\u00fcl\u0151 rendszerek felhaszn\u00e1l\u00e1s\u00e1val. A t\u00f6bbnyelv\u0171 t\u00e1mogat\u00e1s sz\u00e9les\u00edti glob\u00e1lis alkalmaz\u00e1sokhoz val\u00f3 felhaszn\u00e1l\u00e1s\u00e1t. A Gemma 2 2B ny\u00edlt forr\u00e1sk\u00f3d\u00fa modell. A kutat\u00f3k \u00e9s fejleszt\u0151k hozz\u00e1f\u00e9rhetnek a modellekhez a k\u00f6vetkez\u0151 platformon <noindex><a rel=\"nofollow noopener\" href=\"https:\/\/huggingface.co\/spaces\/huggingface-projects\/gemma-2-2b-it\" target=\"_blank\">Hugging Face<\/a><\/noindex>. Tov\u00e1bb\u00e1, k\u00fcl\u00f6nb\u00f6z\u0151 keretrendszereket is t\u00e1mogat, bele\u00e9rtve a <noindex><a rel=\"nofollow noopener\" href=\"https:\/\/huggingface.co\/google\/gemma-2-2b-it\" target=\"_blank\">PyTorch<\/a><\/noindex> \u00e9s <noindex><a rel=\"nofollow noopener\" href=\"https:\/\/huggingface.co\/google\/gemma-2-2b-it\" target=\"_blank\">TensorFlow<\/a><\/noindex>.<\/p>\n<p><strong>Forr\u00e1s:<\/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 \/>Forr\u00e1s: <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 5.0.3 - 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\/hu\/blog\/news\/google-predstavila-kompaktnuyu-yazykovuyu-model-gemma-2-2b-kotoraya-prevoshodit-gpt-3-5-turbo\" \/>\n\t\t<meta 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