{"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\/et\/blog\/news\/deepmind-predstavil-sistemu-mashinnogo-obucheniya-dlya-generaczii-koda-po-tekstovomu-opisaniyu-zadachi","title":{"rendered":"DeepMind tutvustas masin\u00f5ppes\u00fcsteemi, mis genereerib koodi tekstip\u00f5histe \u00fclesannete kirjelduste alusel.","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"

DeepMind, mis on tuntud oma tehisintellekti ja n\u00e4rviv\u00f5rkude arenduste poolest, mis suudavad m\u00e4ngida arvuti- ja lauam\u00e4nge inimtasemel, esitles projekti AlphaCode, mis arendab masin\u00f5ppe s\u00fcsteemi koodi genereerimiseks. See suudab osaleda programmeerimisv\u00f5istlustel platvormil Codeforces ja n\u00e4idata keskmisi tulemusi. Arenduse peamine omadus on v\u00f5ime genereerida koodi keeltes Python v\u00f5i C++, v\u00f5ttes sisendiks ingliskeelse \u00fclesande s\u00f5nastuse. <\/p>\n

S\u00fcsteemi testimiseks valiti v\u00e4lja 10 uut Codeforces'i v\u00f5istlust, milles osales \u00fcle 5000 osaleja, ja mis toimusid p\u00e4rast masin\u00f5ppe mudeli koolituse l\u00f5petamist. \u00dclesannete t\u00e4itmise tulemused v\u00f5imaldasid AlphaCode'il siseneda nende v\u00f5istluste reitingu keskmise taseme l\u00e4hedale (54,3%). Prognoositav \u00fcldine reiting AlphaCode'i jaoks oli 1238 punkti, mis tagab koha Top 28% seas k\u00f5igist Codeforces'i osalejatest, kes on viimase 6 kuu jooksul v\u00e4hemalt korra osalenud v\u00f5istlustel. Tuleb m\u00e4rkida, et projekt on endiselt arendusstaadiumis ja tulevikus on plaanis parandada genereeritud koodi kvaliteeti ning arendada AlphaCode'i suunas s\u00fcsteemide poole, mis aitavad koodi kirjutada, v\u00f5i rakenduste arendamise vahendite poole, mida saavad kasutada inimesed, kellel pole programmeerimisoskusi. <\/p>\n

Projektis kasutatakse n\u00e4rviv\u00f5rgu arhitektuuri \u201eTransformer\u201c koos proovide ja filtreerimise meetoditega, mis v\u00f5imaldavad genereerida erinevaid ettearvamatu koodiversioone, mis vastavad loomuliku keele tekstile. Filtreerimise, klasterdamise ja j\u00e4rjestamise j\u00e4rel eraldatakse genereeritud variantide hulgast k\u00f5ige optimaalsem t\u00f6\u00f6vahendikood, mida seej\u00e4rel kontrollitakse \u00f5igete tulemuste saamiseks (iga v\u00f5istluse \u00fclesandes on esitatud sisendandmed ja vastav sellele n\u00e4itele tulemus, mis peab saavutama p\u00e4rast programmi k\u00e4ivitamist).

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

Masin\u00f5ppe s\u00fcsteemi rohkete treeningute jaoks kasutati GitHubi avalikes reposteeringutes olemasolevat koodibaasi. P\u00e4rast esmase mudeli ettevalmistamist toimus optimeerimisfaas, mis viidi ellu koodikogumi p\u00f5hjal, mis h\u00f5lmas Codeforces, CodeChef, HackerEarth, AtCoder ja Aizu pakutud \u00fclesannete ja lahenduste n\u00e4iteid. Kokku kasutati treeninguks 715 GB koodi GitHubist ja \u00fcle miljoni n\u00e4ite standardsete v\u00f5istlus\u00fclesannete lahendustest. Enne koodi genereerimisele \u00fcleminekut l\u00e4bis \u00fclesande tekst normaliseerimise faasi, mille k\u00e4igus v\u00e4listasime k\u00f5ik ebaolulise ja j\u00e4tsime alles vaid olulised osad.

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

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[…]<\/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-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\udd47DeepMind tutvustas masin\u00f5ppe s\u00fcsteemi, mis genereerib koodi tekstiliste \u00fclesannete kirjelduste p\u00f5hjal | ProHoster","description":"DeepMind, mis on tuntud oma tehisintellekti ja neurov\u00f5rkude arendamise poolest, mis suudavad m\u00e4ngida arvuti- ja lauam\u00e4nge inimtasemel, tutvustas uut 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