{"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\/ro\/blog\/news\/google-eksperimentiruet-so-vstraivaniem-v-chrome-bolshoj-yazykovoj-modeli","title":{"rendered":"Google experimenteaz\u0103 integrarea unui mare model de limbaj \u00een Chrome","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"

Compania Google a anun\u021bat desf\u0103\u0219urarea unui experiment pentru integrarea unui model mare de limbaj de \u00eenv\u0103\u021bare automat\u0103 \u00een Chrome. Pentru accesarea modelului din aplica\u021biile web \u0219i extensiile browserului a fost propus un API Prompt, care permite trimiterea de cereri \u00een limbaj natural, similar chatbot-urilor. Se presupune c\u0103 modelul mare de limbaj integrat \u00een browser va simplifica \u00eendeplinirea sarcinilor AI \u00een aplica\u021biile web \u0219i va elimina necesitatea instal\u0103rii \u0219i gestion\u0103rii modelelor de limbaj. <\/p>\n

Experimentul desf\u0103\u0219urat folose\u0219te modelul Gemini Nano, cel mai compact din familia Gemini. De asemenea, este prev\u0103zut\u0103 posibilitatea instal\u0103rii unor modele expert care extind modelul de baz\u0103 cu cuno\u0219tin\u021be suplimentare necesare pentru rezolvarea sarcinilor specifice, precum \u0219i pentru implementarea abilit\u0103\u021bilor, cum ar fi traducerea automat\u0103 \u0219i rezumarea. Modelele se execut\u0103 local pe sistemul utilizatorului, f\u0103r\u0103 a apela la servicii externe. <\/p>\n

Runtime-ul utilizat pentru executarea modelului activeaz\u0103 automat GPU-urile \u0219i NPU-urile disponibile \u00een sistem pentru a accelera lucrul cu modelul sau comut\u0103 la executarea modelului folosind CPU-ul. Printre avantajele execut\u0103rii modelului pe sistemul utilizatorului se num\u0103r\u0103 p\u0103strarea confiden\u021bialit\u0103\u021bii datelor procesate, posibilitatea de a continua lucrul \u00een mod offline \u00een lipsa unei conexiuni de re\u021bea sau \u00een cazul unor probleme de calitate a conexiunii, reducerea \u00eent\u00e2rzierilor \u00een trimiterea cererilor \u0219i eliminarea dependen\u021bei de servicii externe.

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

API-ul Prompt dezvoltat pentru interac\u021biunea cu modelul permite nu doar execu\u021bia celor mai simple cereri unice \u00een limbaj natural, ci \u0219i organizarea implic\u0103rii modelului \u00een procesarea \u0219i clasificarea datelor \u00een func\u021bie de context, \u021bin\u00e2nd cont de cererile \u0219i datele trimise anterior \u00een sesiune, precum \u0219i utilizarea modelului pentru alegerea celor mai optime op\u021biuni (de exemplu, se poate solicita alegerea unei pictograme dintr-o list\u0103 de emoji pentru un comentariu specific pe site). \u00cen plus, se preconizeaz\u0103 dezvoltarea API-ului pentru utilizarea \u00een domeniul cre\u0103rii de con\u021binut \u0219i pentru solu\u021bionarea unor sarcini precum reformularea \u00een alte cuvinte, corectura \u0219i corectarea gramaticii. <\/p>\n

\u00cen general, pentru interac\u021biunea cu modelul AI \u00eencorporat, se dezvolt\u0103 dou\u0103 tipuri de API-uri \u2014 Task \u0219i Exploratory. Primul ofer\u0103 acces la capacit\u0103\u021bile de a rezolva anumite sarcini, cum ar fi traducerea textului dintr-o limb\u0103 \u00een alta (API Translation) sau rezumarea esen\u021bei textului (API Summarization). Al doilea tip este destinat cre\u0103rii \u0219i test\u0103rii prototipurilor experimentale \u00een cadrul dezvolt\u0103rii de noi API-uri Task. De asemenea, se lucreaz\u0103 la API-ul LoRA (Low-Rank Adaptation) pentru adaptarea coeficientilor de greutate ai modelului de baz\u0103 pentru a \u00eembun\u0103t\u0103\u021bi eficien\u021ba \u00een rezolvarea unor sarcini specifice. <\/p>\n

Accesul la participarea \u00een experiment este oferit dup\u0103 completarea unei aplica\u021bii. API-ul este \u00een continu\u0103 dezvoltare \u0219i \u00eenainte de acceptarea variantei finale va fi extins \u0219i modificat av\u00e2nd \u00een vedere feedback-ul \u0219i preferin\u021bele utilizatorilor. \u00cen viitor se preconizeaz\u0103 organizarea unor teste mai accesibile utiliz\u00e2nd modul Origin Trials, care ofer\u0103 posibilitatea de a lucra cu API-uri experimentale din aplica\u021bii \u00eenc\u0103rcate de pe localhost sau 127.0.0.1, sau dup\u0103 \u00eenregistrare \u0219i ob\u021binerea unui token special, care este valabil pentru o perioad\u0103 limitat\u0103 pentru un anumit site. \u00cempreun\u0103 cu produc\u0103torii altor browsere, se lucreaz\u0103 la standardizarea API-urilor dezvoltate.
\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\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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