{"id":113821,"date":"2024-02-23T22:02:47","date_gmt":"2024-02-23T20:02:48","guid":{"rendered":"https:\/\/prohoster.info\/blog\/novosti-interneta\/google-otkryl-ai-model-gemma-osnovannuyu-na-tehnologiyah-obshhih-s-chat-botom-gemini"},"modified":"2024-02-23T22:02:47","modified_gmt":"2024-02-23T20:02:48","slug":"google-otkryl-ai-model-gemma-osnovannuyu-na-tehnologiyah-obshhih-s-chat-botom-gemini","status":"publish","type":"post","link":"https:\/\/prohoster.info\/ro\/blog\/news\/google-otkryl-ai-model-gemma-osnovannuyu-na-tehnologiyah-obshhih-s-chat-botom-gemini","title":{"rendered":"Google a lansat modelul AI Gemma, bazat pe tehnologii comune cu chatbotul Gemini.","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"

Compania Google a anun\u021bat lansarea unui model mare de limbaj pentru \u00eenv\u0103\u021bare automat\u0103, Gemma, construit cu tehnologiile utilizate pentru dezvoltarea modelului de chatbot Gemini, care caut\u0103 s\u0103 concureze cu ChatGPT. Modelul este disponibil \u00een patru variante, acoperind 2 \u0219i 7 miliarde de parametri, \u00een versiuni de baz\u0103 \u0219i optimizate pentru sisteme de dialog. Variantele cu 2 miliarde de parametri sunt potrivite pentru utilizare \u00een aplica\u021bii de consum \u0219i procesarea lor necesit\u0103 suficient CPU. Variantele cu 7 miliarde de parametri necesit\u0103 echipamente mai puternice \u0219i GPU sau TPU disponibile. <\/p>\n

Printre domeniile de aplicare ale modelului Gemma se num\u0103r\u0103 crearea de sisteme de dialog \u0219i asisten\u021bi virtuali, generarea de text, formularea de r\u0103spunsuri la \u00eentreb\u0103rile formulate \u00een limbaj natural, rezumarea \u0219i generalizarea con\u021binutului, explicarea esen\u021bei conceptelor \u0219i termenilor, corectarea erorilor din text, ajutor \u00een \u00eenv\u0103\u021barea limbilor. Este sus\u021binut\u0103 crearea diverselor tipuri de date textuale, inclusiv poezii, cod \u00een diverse limbaje de programare, rescrierea operelor cu alte cuvinte, formarea de scrisori conform unui \u0219ablon. \u00cen acest sens, modelul are o dimensiune relativ mic\u0103, permi\u021b\u00e2nd utilizarea sa pe echipamente cu resurse limitate, cum ar fi laptopuri \u0219i PC-uri obi\u0219nuite. <\/p>\n

Licen\u021ba pentru model permite utilizarea \u0219i distribuirea gratuit\u0103 nu doar \u00een proiecte de cercetare \u0219i personale, ci \u0219i \u00een produse comerciale. De asemenea, este permis\u0103 crearea \u0219i publicarea variantelor modificate ale modelului. Totu\u0219i, condi\u021biile de utilizare interzic aplicarea modelului pentru a desf\u0103\u0219ura ac\u021biuni d\u0103un\u0103toare \u0219i stipuleaz\u0103 utilizarea, pe c\u00e2t posibil, a celei mai recente versiuni Gemma \u00een produsele proprii. <\/p>\n

Suportul pentru lucrul cu modelele Gemma a fost deja ad\u0103ugat \u00een instrumentele Transformers \u0219i \u00een Responsible Generative AI Toolkit. Pentru optimizarea modelului, se poate folosi cadrul Keras \u0219i backend-uri pentru TensorFlow, JAX \u0219i PyTorch. De asemenea, este asigurat\u0103 posibilitatea de utilizare a Gemma cu cadrele MaxText, NVIDIA NeMo \u0219i TensorRT-LLM. <\/p>\n

Dimensiunea contextului luat \u00een considerare de modelul Gemma este de 8.000 de tokeni (num\u0103rul de tokeni pe care modelul \u00eel poate procesa \u0219i re\u021bine \u00een timpul gener\u0103rii textului). Spre compara\u021bie, dimensiunea contextului pentru modelele Gemini \u0219i GPT-4 este de 32.000 de tokeni, iar pentru modelul GPT-4 Turbo \u2014 128.000. Modelul accept\u0103 doar limba englez\u0103. Din punct de vedere al performan\u021bei, modelul Gemma-7B este u\u0219or inferior modelului LLama 2 70B Chat \u0219i u\u0219or superior modelului DeciLM-7B, PHI-2 (2.7B) \u0219i Mistral-7B-v0.1. Comparativ cu Google, modelul Gemma-7B este u\u0219or superior LLama 2 7B\/13B \u0219i Mistral-7B.

\"Google<\/center>
\n
Sursa: opennet.ro<\/a> <\/p>","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"excerpt":{"rendered":"

\u041a\u043e\u043c\u043f\u0430\u043d\u0438\u044f Google \u043e\u0431\u044a\u044f\u0432\u0438\u043b\u0430 \u043e \u043f\u0443\u0431\u043b\u0438\u043a\u0430\u0446\u0438\u0438 \u0431\u043e\u043b\u044c\u0448\u043e\u0439 \u044f\u0437\u044b\u043a\u043e\u0432\u043e\u0439 \u043c\u043e\u0434\u0435\u043b\u0438 \u043c\u0430\u0448\u0438\u043d\u043d\u043e\u0433\u043e \u043e\u0431\u0443\u0447\u0435\u043d\u0438\u044f Gemma, \u043f\u043e\u0441\u0442\u0440\u043e\u0435\u043d\u043d\u043e\u0439 \u0441 \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u043d\u0438\u0435\u043c \u0442\u0435\u0445\u043d\u043e\u043b\u043e\u0433\u0438\u0439, \u043f\u0440\u0438\u043c\u0435\u043d\u044f\u0435\u043c\u044b\u0445 \u0434\u043b\u044f \u043f\u043e\u0441\u0442\u0440\u043e\u0435\u043d\u0438\u044f \u043c\u043e\u0434\u0435\u043b\u0438 \u0447\u0430\u0442-\u0431\u043e\u0442\u0430 Gemini, \u043f\u044b\u0442\u0430\u044e\u0449\u0435\u0433\u043e\u0441\u044f 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\u043f\u043e\u0434\u0445\u043e\u0434\u044f\u0442 \u0434\u043b\u044f \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u043d\u0438\u044f \u0432 \u043f\u043e\u0442\u0440\u0435\u0431\u0438\u0442\u0435\u043b\u044c\u0441\u043a\u0438\u0445 \u043f\u0440\u0438\u043b\u043e\u0436\u0435\u043d\u0438\u044f\u0445 […]<\/p>\n","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"author":1,"featured_media":113822,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[702],"tags":[],"class_list":["post-113821","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-news"],"aioseo_notices":[],"aioseo_head":"\n\t\t\n\t\n\t\n\t\n\t\n\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\n","aioseo_head_json":{"title":"\ud83e\udd47Google a lansat modelul AI Gemma, bazat pe tehnologii comune cu chatbotul Gemini | 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ChatGPT.","og:url":"https:\/\/prohoster.info\/ro\/blog\/news\/google-otkryl-ai-model-gemma-osnovannuyu-na-tehnologiyah-obshhih-s-chat-botom-gemini","og:image":"https:\/\/prohoster.info\/wp-content\/uploads\/2021\/11\/logo-350.jpg","og:image:secure_url":"https:\/\/prohoster.info\/wp-content\/uploads\/2021\/11\/logo-350.jpg","og:image:width":350,"og:image:height":350,"article:published_time":"2024-02-23T20:02:48+00:00","article:modified_time":"2024-02-23T20:02:48+00:00","article:publisher":"https:\/\/www.facebook.com\/prohoster","article:author":"https:\/\/www.facebook.com\/prohoster"},"aioseo_meta_data":[],"gt_translate_keys":[{"key":"link","format":"url"}],"_links":{"self":[{"href":"https:\/\/prohoster.info\/ro\/wp-json\/wp\/v2\/posts\/113821","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/prohoster.info\/ro\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/prohoster.info\/ro\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/prohoster.info\/ro\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/prohoster.info\/ro\/wp-json\/wp\/v2\/comments?post=113821"}],"version-history":[{"count":0,"href":"https:\/\/prohoster.info\/ro\/wp-json\/wp\/v2\/posts\/113821\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/prohoster.info\/ro\/wp-json\/wp\/v2\/media\/113822"}],"wp:attachment":[{"href":"https:\/\/prohoster.info\/ro\/wp-json\/wp\/v2\/media?parent=113821"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/prohoster.info\/ro\/wp-json\/wp\/v2\/categories?post=113821"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/prohoster.info\/ro\/wp-json\/wp\/v2\/tags?post=113821"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}