{"id":103181,"date":"2022-02-03T09:36:41","date_gmt":"2022-02-03T07:36:42","guid":{"rendered":"https:\/\/prohoster.info\/blog\/novosti-interneta\/deepmind-predstavil-sistemu-mashinnogo-obucheniya-dlya-generaczii-koda-po-tekstovomu-opisaniyu-zadachi"},"modified":"2022-02-03T09:36:41","modified_gmt":"2022-02-03T07:36:42","slug":"deepmind-predstavil-sistemu-mashinnogo-obucheniya-dlya-generaczii-koda-po-tekstovomu-opisaniyu-zadachi","status":"publish","type":"post","link":"https:\/\/prohoster.info\/sq\/blog\/novosti-interneta\/deepmind-predstavil-sistemu-mashinnogo-obucheniya-dlya-generaczii-koda-po-tekstovomu-opisaniyu-zadachi","title":{"rendered":"DeepMind prezantoi nj\u00eb sistem m\u00ebsimi makinerik p\u00ebr gjenerimin e kodit nga p\u00ebrshkrimi tekstual i detyr\u00ebs","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"

Kompania DeepMind, e njohur p\u00ebr zhvillimet e saj n\u00eb fush\u00ebn e inteligjenc\u00ebs artificiale dhe nd\u00ebrtimin e rrjeteve nervore q\u00eb jan\u00eb t\u00eb afta t\u00eb luajn\u00eb loj\u00ebra kompjuterike dhe tavoline n\u00eb nivelin e njeriut, prezantoi projektin AlphaCode, i cili zhvillon nj\u00eb sistem m\u00ebsimi makinerik p\u00ebr gjenerimin e kodit, t\u00eb aft\u00eb t\u00eb marr\u00eb pjes\u00eb n\u00eb gara programimi n\u00eb platform\u00ebn Codeforces dhe t\u00eb demonstroj\u00eb rezultate t\u00eb mesme. Karakteristika kryesore e zhvillimit \u00ebsht\u00eb aft\u00ebsia p\u00ebr t\u00eb gjeneruar kod n\u00eb gjuh\u00ebt Python ose C++, duke pranuar si hyrje tekstin me formulimin e detyr\u00ebs n\u00eb gjuh\u00ebn angleze. <\/p>\n

P\u00ebr testimin e sistemit u p\u00ebrzgjodh\u00ebn 10 gara t\u00eb reja Codeforces me m\u00eb shum\u00eb se 5000 pjes\u00ebmarr\u00ebs, t\u00eb zhvilluara pas p\u00ebrfundimit t\u00eb trajnimit t\u00eb modelit t\u00eb m\u00ebsimit t\u00eb makinerive. Rezultatet e zgjidhjeve lejuan sistemin AlphaCode t\u00eb arrij\u00eb rreth n\u00eb mes t\u00eb renditjeve t\u00eb k\u00ebtyre garave (54.3%). Rendi i p\u00ebrgjithsh\u00ebm i parashikuar p\u00ebr AlphaCode ishte 1238 pik\u00eb, \u00e7ka siguron nj\u00eb vend n\u00eb Top 28% t\u00eb t\u00eb gjith\u00eb pjes\u00ebmarr\u00ebsve t\u00eb Codeforces, q\u00eb kan\u00eb marr\u00eb pjes\u00eb ndonj\u00ebher\u00eb n\u00eb gara gjat\u00eb gjasht\u00eb muajve t\u00eb fundit. V\u00ebrehet se projekti \u00ebsht\u00eb ende n\u00eb faz\u00ebn fillestare t\u00eb zhvillimit dhe n\u00eb t\u00eb ardhmen planifikohet p\u00ebrmir\u00ebsimi i cil\u00ebsis\u00eb s\u00eb kodit t\u00eb gjeneruar, si dhe zhvillimi i AlphaCode n\u00eb sisteme q\u00eb ndihmojn\u00eb n\u00eb t\u00eb shkruarit e kodit, ose mjete zhvillimi aplikacionesh q\u00eb do t\u00eb jen\u00eb n\u00eb dispozicion p\u00ebr njer\u00ebzit pa aft\u00ebsi programimi. <\/p>\n

\u0412 \u043f\u0440\u043e\u0435\u043a\u0442\u0435 \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u0443\u0435\u0442\u0441\u044f \u0430\u0440\u0445\u0438\u0442\u0435\u043a\u0442\u0443\u0440\u0430 \u043d\u0435\u0439\u0440\u043e\u043d\u043d\u043e\u0439 \u0441\u0435\u0442\u0438 «Transformer» \u0432 \u0441\u043e\u0447\u0435\u0442\u0430\u043d\u0438\u0438 \u0441 \u043c\u0435\u0442\u043e\u0434\u0430\u043c\u0438 \u0441\u0435\u043c\u043f\u043b\u0438\u0440\u043e\u0432\u0430\u043d\u0438\u044f \u0438 \u0444\u0438\u043b\u044c\u0442\u0440\u0430\u0446\u0438\u0438, \u043f\u043e\u0437\u0432\u043e\u043b\u044f\u044e\u0449\u0438\u043c\u0438 \u0433\u0435\u043d\u0435\u0440\u0438\u0440\u043e\u0432\u0430\u0442\u044c \u0440\u0430\u0437\u043b\u0438\u0447\u043d\u044b\u0435 \u043d\u0435\u043f\u0440\u0435\u0434\u0441\u043a\u0430\u0437\u0443\u0435\u043c\u044b\u0435 \u0432\u0430\u0440\u0438\u0430\u043d\u0442\u044b \u043a\u043e\u0434\u0430, \u0441\u043e\u043e\u0442\u0432\u0435\u0442\u0441\u0442\u0432\u0443\u044e\u0449\u0438\u0435 \u0442\u0435\u043a\u0441\u0442\u0443 \u043d\u0430 \u0435\u0441\u0442\u0435\u0441\u0442\u0432\u0435\u043d\u043d\u043e\u043c \u044f\u0437\u044b\u043a\u0435. \u041f\u043e\u0441\u043b\u0435 \u0444\u0438\u043b\u044c\u0442\u0440\u0430\u0446\u0438\u0438, \u043a\u043b\u0430\u0441\u0442\u0435\u0440\u0438\u0437\u0430\u0446\u0438\u0438 \u0438 \u0440\u0430\u043d\u0436\u0438\u0440\u043e\u0432\u0430\u043d\u0438\u044f \u0438\u0437 \u0444\u043e\u0440\u043c\u0438\u0440\u0443\u0435\u043c\u043e\u0433\u043e \u043f\u043e\u0442\u043e\u043a\u0430 \u0432\u0430\u0440\u0438\u0430\u043d\u0442\u043e\u0432 \u043e\u0442\u0441\u0435\u0438\u0432\u0430\u0435\u0442\u0441\u044f \u043d\u0430\u0438\u0431\u043e\u043b\u0435\u0435 \u043e\u043f\u0442\u0438\u043c\u0430\u043b\u044c\u043d\u044b\u0439 \u0440\u0430\u0431\u043e\u0447\u0438\u0439 \u043a\u043e\u0434, \u043a\u043e\u0442\u043e\u0440\u044b\u0439 \u0437\u0430\u0442\u0435\u043c \u043f\u0440\u043e\u0432\u0435\u0440\u044f\u0435\u0442\u0441\u044f \u043d\u0430 \u043f\u0440\u0435\u0434\u043c\u0435\u0442 \u043f\u043e\u043b\u0443\u0447\u0435\u043d\u0438\u044f \u0432\u0435\u0440\u043d\u043e\u0433\u043e \u0440\u0435\u0437\u0443\u043b\u044c\u0442\u0430\u0442\u0430 (\u0432 \u043a\u0430\u0436\u0434\u043e\u043c \u0437\u0430\u0434\u0430\u043d\u0438\u0438 \u0441\u043e\u0440\u0435\u0432\u043d\u043e\u0432\u0430\u043d\u0438\u0439 \u0443\u043a\u0430\u0437\u044b\u0432\u0430\u0435\u0442\u0441\u044f \u043f\u0440\u0438\u043c\u0435\u0440 \u0432\u0445\u043e\u0434\u043d\u044b\u0445 \u0434\u0430\u043d\u043d\u044b\u0445 \u0438 \u0441\u043e\u043e\u0442\u0432\u0435\u0442\u0441\u0442\u0432\u0443\u044e\u0449\u0438\u0439 \u044d\u0442\u043e\u043c\u0443 \u043f\u0440\u0438\u043c\u0435\u0440\u0443 \u0440\u0435\u0437\u0443\u043b\u044c\u0442\u0430\u0442, \u043a\u043e\u0442\u043e\u0440\u044b\u0439 \u0434\u043e\u043b\u0436\u0435\u043d \u0431\u044b\u0442\u044c \u043f\u043e\u043b\u0443\u0447\u0435\u043d \u043f\u043e\u0441\u043b\u0435 \u0432\u044b\u043f\u043e\u043b\u043d\u0435\u043d\u0438\u0438 \u043f\u0440\u043e\u0433\u0440\u0430\u043c\u043c\u044b).

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

P\u00ebr trajnim t\u00eb thell\u00eb t\u00eb sistemit t\u00eb m\u00ebsimit t\u00eb makineris\u00eb, u p\u00ebrdor nj\u00eb kod i aksesuesh\u00ebm n\u00eb depo publike n\u00eb GitHub. Pas p\u00ebrgatitjes s\u00eb modelit fillestar, u zhvillua faza e optimizimit, e cila u realizua mbi nj\u00eb koleksion kodi me shembuj problemesh dhe zgjidhjesh t\u00eb ofruara p\u00ebr pjes\u00ebmarr\u00ebsit e garave Codeforces, CodeChef, HackerEarth, AtCoder dhe Aizu. N\u00eb total, p\u00ebr trajnim u p\u00ebrdor\u00ebn 715 GB kod nga GitHub dhe m\u00eb shum\u00eb se nj\u00eb milion shembuj zgjidhjesh p\u00ebr probleme standard t\u00eb garave. Para kalimit n\u00eb gjenerimin e kodit, teksti i problemit kaloi nj\u00eb faz\u00eb normalizimi, n\u00eb t\u00eb cil\u00ebn u p\u00ebrjashtuan t\u00eb gjitha gj\u00ebrat e panevojshme dhe mbet\u00ebn vet\u00ebm pjes\u00ebt e r\u00ebnd\u00ebsishme.

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

\u041a\u043e\u043c\u043f\u0430\u043d\u0438\u044f DeepMind, \u043f\u043e\u043b\u0443\u0447\u0438\u0432\u0448\u0430\u044f \u0438\u0437\u0432\u0435\u0441\u0442\u043d\u043e\u0441\u0442\u044c \u0441\u0432\u043e\u0438\u043c\u0438 \u0440\u0430\u0437\u0440\u0430\u0431\u043e\u0442\u043a\u0430\u043c\u0438 \u0432 \u043e\u0431\u043b\u0430\u0441\u0442\u0438 \u0438\u0441\u043a\u0443\u0441\u0441\u0442\u0432\u0435\u043d\u043d\u043e\u0433\u043e \u0438\u043d\u0442\u0435\u043b\u043b\u0435\u043a\u0442\u0430 \u0438 \u043f\u043e\u0441\u0442\u0440\u043e\u0435\u043d\u0438\u044f \u043d\u0435\u0439\u0440\u043e\u043d\u043d\u044b\u0445 \u0441\u0435\u0442\u0435\u0439, \u0441\u043f\u043e\u0441\u043e\u0431\u043d\u044b\u0445 \u0438\u0433\u0440\u0430\u0442\u044c \u0432 \u043a\u043e\u043c\u043f\u044c\u044e\u0442\u0435\u0440\u043d\u044b\u0435 \u0438 \u043d\u0430\u0441\u0442\u043e\u043b\u044c\u043d\u044b\u0435 \u0438\u0433\u0440\u044b \u043d\u0430 \u0443\u0440\u043e\u0432\u043d\u0435 \u0447\u0435\u043b\u043e\u0432\u0435\u043a\u0430, \u043f\u0440\u0435\u0434\u0441\u0442\u0430\u0432\u0438\u043b\u0430 \u043f\u0440\u043e\u0435\u043a\u0442 Alpha\u0421ode, \u0440\u0430\u0437\u0432\u0438\u0432\u0430\u044e\u0449\u0438\u0439 \u0441\u0438\u0441\u0442\u0435\u043c\u0443 \u043c\u0430\u0448\u0438\u043d\u043d\u043e\u0433\u043e \u043e\u0431\u0443\u0447\u0435\u043d\u0438\u044f \u0434\u043b\u044f \u0433\u0435\u043d\u0435\u0440\u0430\u0446\u0438\u0438 \u043a\u043e\u0434\u0430, \u0441\u043f\u043e\u0441\u043e\u0431\u043d\u0443\u044e \u0443\u0447\u0430\u0441\u0442\u0432\u043e\u0432\u0430\u0442\u044c \u0432 \u0441\u043e\u0440\u0435\u0432\u043d\u043e\u0432\u0430\u043d\u0438\u044f\u0445 \u043f\u043e \u043f\u0440\u043e\u0433\u0440\u0430\u043c\u043c\u0438\u0440\u043e\u0432\u0430\u043d\u0438\u044e \u043d\u0430 \u043f\u043b\u0430\u0442\u0444\u043e\u0440\u043c\u0435 Codeforces \u0438 \u0434\u0435\u043c\u043e\u043d\u0441\u0442\u0440\u0438\u0440\u043e\u0432\u0430\u0442\u044c \u0441\u0440\u0435\u0434\u043d\u0438\u0439 \u0440\u0435\u0437\u0443\u043b\u044c\u0442\u0430\u0442. \u041a\u043b\u044e\u0447\u0435\u0432\u043e\u0439 \u043e\u0441\u043e\u0431\u0435\u043d\u043d\u043e\u0441\u0442\u044c\u044e \u0440\u0430\u0437\u0440\u0430\u0431\u043e\u0442\u043a\u0438 \u044f\u0432\u043b\u044f\u0435\u0442\u0441\u044f \u044f\u0432\u043b\u044f\u0435\u0442\u0441\u044f \u0441\u043f\u043e\u0441\u043e\u0431\u043d\u043e\u0441\u0442\u044c \u0433\u0435\u043d\u0435\u0440\u0438\u0440\u043e\u0432\u0430\u0442\u044c \u043a\u043e\u0434 […]<\/p>\n","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"author":1,"featured_media":103182,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[702],"tags":[],"class_list":["post-103181","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-novosti-interneta"],"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\udd47DeepMind prezantoi nj\u00eb sistem t\u00eb m\u00ebsimit t\u00eb makinerive p\u00ebr gjenerimin e kodit sipas p\u00ebrshkrimit textual t\u00eb detyr\u00ebs | ProHoster","description":"Kompania DeepMind, e njohur p\u00ebr zhvillimet e saj n\u00eb fush\u00ebn e inteligjenc\u00ebs artificiale dhe nd\u00ebrtimin e rrjeteve neurale t\u00eb afta p\u00ebr t\u00eb luajtur loj\u00ebra kompjuterike dhe tavoline n\u00eb nivelin e njeriut, prezantoi projektin AlphaCode, i cili zhvillon nj\u00eb sistem m\u00ebsimi makinerik p\u00ebr gjenerimin e kodit dhe \u00ebsht\u00eb n\u00eb gjendje t\u00eb marr\u00eb pjes\u00eb n\u00eb garat e programimit n\u00eb platform\u00ebn Codeforces, duke demonstruar nj\u00eb rezultat mesatar. Karakteristika ky\u00e7e e zhvillimit \u00ebsht\u00eb aft\u00ebsia p\u00ebr t\u00eb gjeneruar kod.","canonical_url":"https:\/\/prohoster.info\/sq\/blog\/novosti-interneta\/deepmind-predstavil-sistemu-mashinnogo-obucheniya-dlya-generaczii-koda-po-tekstovomu-opisaniyu-zadachi","robots":"max-image-preview:large","keywords":"","webmasterTools":{"miscellaneous":""},"schema":null,"og:locale":"sq_AL","og:site_name":"ProHoster | \u041a\u0443\u043f\u0438\u0442\u044c \u043d\u0430\u0434\u0435\u0436\u043d\u044b\u0439 \u0445\u043e\u0441\u0442\u0438\u043d\u0433 \u0434\u043b\u044f \u0441\u0430\u0439\u0442\u043e\u0432 \u0441 \u0437\u0430\u0449\u0438\u0442\u043e\u0439 \u043e\u0442 DDoS, VPS VDS \u0441\u0435\u0440\u0432\u0435\u0440\u044b","og:type":"article","og:title":"\ud83e\udd47DeepMind \u043f\u0440\u0435\u0434\u0441\u0442\u0430\u0432\u0438\u043b \u0441\u0438\u0441\u0442\u0435\u043c\u0443 \u043c\u0430\u0448\u0438\u043d\u043d\u043e\u0433\u043e \u043e\u0431\u0443\u0447\u0435\u043d\u0438\u044f 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