{"id":119093,"date":"2024-08-06T09:43:09","date_gmt":"2024-08-06T07:43:10","guid":{"rendered":"https:\/\/prohoster.info\/blog\/novosti-interneta\/google-eksperimentiruet-so-vstraivaniem-v-chrome-bolshoj-yazykovoj-modeli"},"modified":"2024-08-06T09:43:09","modified_gmt":"2024-08-06T07:43:10","slug":"google-eksperimentiruet-so-vstraivaniem-v-chrome-bolshoj-yazykovoj-modeli","status":"publish","type":"post","link":"https:\/\/prohoster.info\/hu\/blog\/news\/google-eksperimentiruet-so-vstraivaniem-v-chrome-bolshoj-yazykovoj-modeli","title":{"rendered":"A Google k\u00eds\u00e9rletezik a Chrome-ba val\u00f3 nagy nyelvi modell be\u00e9p\u00edt\u00e9s\u00e9vel.","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"

A Google bejelentette, hogy k\u00eds\u00e9rletet ind\u00edt a Chrome b\u00f6ng\u00e9sz\u0151be integr\u00e1lt nagym\u00e9ret\u0171 nyelvi g\u00e9pi tanul\u00e1si modell bevezet\u00e9s\u00e9re. A modellhez val\u00f3 hozz\u00e1f\u00e9r\u00e9st webalkalmaz\u00e1sokb\u00f3l \u00e9s b\u00f6ng\u00e9sz\u0151b\u0151v\u00edtm\u00e9nyekb\u0151l az API Prompt k\u00edn\u00e1lja, amely lehet\u0151v\u00e9 teszi term\u00e9szetes nyelven \u00edrt k\u00e9rd\u00e9sek k\u00fcld\u00e9s\u00e9t, hasonl\u00f3an a chatbotokhoz. A b\u00f6ng\u00e9sz\u0151be integr\u00e1lt nagym\u00e9ret\u0171 nyelvi modell v\u00e1rhat\u00f3an megk\u00f6nny\u00edti az AI feladatok v\u00e9grehajt\u00e1s\u00e1t a webalkalmaz\u00e1sokban, \u00e9s elt\u00e1ntor\u00edt a nyelvi modellek telep\u00edt\u00e9s\u00e9t\u0151l \u00e9s kezel\u00e9s\u00e9t\u0151l. <\/p>\n

A v\u00e9grehajtott k\u00eds\u00e9rletben a Gemini Nano modellt haszn\u00e1lj\u00e1k, amely a Gemini csal\u00e1d legkompaktabb k\u00e9pvisel\u0151je. Emellett lehet\u0151s\u00e9g van szak\u00e9rt\u0151i modellek telep\u00edt\u00e9s\u00e9re is, amelyek kib\u0151v\u00edtik az alapmodellt tov\u00e1bbi ismeretekkel, amelyek a specifikus feladatok megold\u00e1s\u00e1hoz, valamint olyan k\u00e9szs\u00e9gek v\u00e9grehajt\u00e1s\u00e1hoz sz\u00fcks\u00e9gesek, mint a g\u00e9pi ford\u00edt\u00e1s \u00e9s a sz\u00f6veg\u00f6sszegz\u00e9s. A modellek a felhaszn\u00e1l\u00f3 rendszer\u00e9n bel\u00fcl futnak, an\u00e9lk\u00fcl, hogy k\u00fcls\u0151 szolg\u00e1ltat\u00e1sokra lenne sz\u00fcks\u00e9g. <\/p>\n

A modellek v\u00e9grehajt\u00e1s\u00e1hoz haszn\u00e1lt Runtime automatikusan aktiv\u00e1lja a rendszerben el\u00e9rhet\u0151 GPU-kat \u00e9s NPU-kat a modell m\u0171k\u00f6d\u00e9s\u00e9nek gyors\u00edt\u00e1s\u00e1ra, vagy CPU haszn\u00e1lat\u00e1ra kapcsol \u00e1t. A felhaszn\u00e1l\u00f3 rendszer\u00e9n t\u00f6rt\u00e9n\u0151 modellv\u00e9grehajt\u00e1s el\u0151nyei k\u00f6z\u00e9 tartozik az \u00e9rz\u00e9keny adatok v\u00e9delme, a h\u00e1l\u00f3zati kapcsolat hi\u00e1ny\u00e1ban t\u00f6rt\u00e9n\u0151 offline m\u0171k\u00f6d\u00e9s lehet\u0151s\u00e9ge, a k\u00e9rd\u00e9sek k\u00fcld\u00e9s\u00e9nek k\u00e9sleltet\u00e9s\u00e9nek cs\u00f6kkent\u00e9se, valamint a k\u00fcls\u0151 szolg\u00e1ltat\u00e1sokt\u00f3l val\u00f3 f\u00fcggetlens\u00e9g.

\"A<\/center> <\/p>\n

A modellel val\u00f3 interakci\u00f3hoz fejlesztett API Prompt nemcsak a legegyszer\u0171bb, egyedi natur\u00e1lis nyelv\u0171 k\u00e9r\u00e9sek v\u00e9grehajt\u00e1s\u00e1ra alkalmas, hanem lehet\u0151v\u00e9 teszi a modell bevon\u00e1s\u00e1t az adatok feldolgoz\u00e1s\u00e1ba \u00e9s oszt\u00e1lyoz\u00e1s\u00e1ba a kontextus figyelembev\u00e9tel\u00e9vel, figyelemmel k\u00eds\u00e9rheti a kor\u00e1bban a munkamenetben elk\u00fcld\u00f6tt k\u00e9r\u00e9seket \u00e9s adatokat, valamint felhaszn\u00e1lhatja a modellt az optim\u00e1lis lehet\u0151s\u00e9gek kiv\u00e1laszt\u00e1s\u00e1ra (p\u00e9ld\u00e1ul k\u00e9rheti, hogy v\u00e1lasszon egy emoji ikont egy adott hozz\u00e1sz\u00f3l\u00e1shoz a weboldalon). Tov\u00e1bb\u00e1 tervezz\u00fck az API fejleszt\u00e9s\u00e9t a tartalomk\u00e9sz\u00edt\u00e9s ter\u00fclet\u00e9n, valamint olyan feladatok elv\u00e9gz\u00e9s\u00e9re, mint a m\u00e1s szavakkal val\u00f3 \u00e1tkonstru\u00e1l\u00e1s, a korrekt\u00fara \u00e9s a nyelvtani hib\u00e1k jav\u00edt\u00e1sa. <\/p>\n

\u00c1ltal\u00e1nos \u00e9rtelemben az AI-modell integr\u00e1l\u00e1s\u00e1hoz k\u00e9tf\u00e9le API fejl\u0151dik \u2013 Task \u00e9s Exploratory. Az els\u0151 hozz\u00e1f\u00e9r\u00e9st biztos\u00edt olyan feladatok megold\u00e1s\u00e1hoz, mint p\u00e9ld\u00e1ul sz\u00f6veg ford\u00edt\u00e1sa egyik nyelvr\u0151l a m\u00e1sikra (API Translation) vagy a sz\u00f6veg l\u00e9nyeg\u00e9nek \u00f6sszefoglal\u00e1sa (API Summarization). A m\u00e1sodik t\u00edpus c\u00e9lja k\u00eds\u00e9rleti protot\u00edpusok l\u00e9trehoz\u00e1sa \u00e9s tesztel\u00e9se \u00faj Task API fejleszt\u00e9sekor. Jelenleg a LoRA (Low-Rank Adaptation) API kidolgoz\u00e1s\u00e1n is dolgozunk, amely a alapmodell s\u00falyainak alkalmaz\u00e1s\u00e1ra szolg\u00e1l bizonyos feladatok megold\u00e1s\u00e1nak hat\u00e9konys\u00e1g\u00e1nak n\u00f6vel\u00e9se \u00e9rdek\u00e9ben. <\/p>\n

A k\u00eds\u00e9rlethez val\u00f3 r\u00e9szv\u00e9telhez regisztr\u00e1ci\u00f3 sz\u00fcks\u00e9ges. Az API akt\u00edv fejleszt\u00e9s alatt \u00e1ll, \u00e9s a v\u00e9gleges v\u00e1ltozat elfogad\u00e1sa el\u0151tt a felhaszn\u00e1l\u00f3k visszajelz\u00e9sei \u00e9s preferenci\u00e1i alapj\u00e1n b\u0151v\u00fcl \u00e9s v\u00e1ltozik. A j\u00f6v\u0151ben tervezik, hogy el\u00e9rhet\u0151bb tesztel\u00e9st szerveznek az Origin Trials m\u00f3d haszn\u00e1lat\u00e1val, amely lehet\u0151v\u00e9 teszi a k\u00eds\u00e9rleti API-k haszn\u00e1lat\u00e1t localhost vagy 127.0.0.1 c\u00edmr\u0151l bet\u00f6lt\u00f6tt alkalmaz\u00e1sokb\u00f3l, vagy a regisztr\u00e1ci\u00f3 \u00e9s egy speci\u00e1lis token megszerz\u00e9se ut\u00e1n, mely korl\u00e1tozott ideig \u00e9rv\u00e9nyes egy adott webhelyre. P\u00e1rhuzamosan m\u00e1s b\u00f6ng\u00e9sz\u0151gy\u00e1rt\u00f3kkal dolgoznak a fejlesztett API-k szabv\u00e1nyos\u00edt\u00e1s\u00e1n.
\n
Forr\u00e1s: opennet.ru<\/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\u0440\u043e\u0432\u0435\u0434\u0435\u043d\u0438\u0438 \u044d\u043a\u0441\u043f\u0435\u0440\u0438\u043c\u0435\u043d\u0442\u0430 \u043f\u043e \u0432\u0441\u0442\u0440\u0430\u0438\u0432\u0430\u043d\u0438\u044e \u0432 Chrome \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. \u0414\u043b\u044f \u0434\u043e\u0441\u0442\u0443\u043f\u0430 \u043a \u043c\u043e\u0434\u0435\u043b\u0438 \u0438\u0437 web-\u043f\u0440\u0438\u043b\u043e\u0436\u0435\u043d\u0438\u0439 \u0438 \u0431\u0440\u0430\u0443\u0437\u0435\u0440\u043d\u044b\u0445 \u0434\u043e\u043f\u043e\u043b\u043d\u0435\u043d\u0438\u0439 \u043f\u0440\u0435\u0434\u043b\u043e\u0436\u0435\u043d API Prompt, 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