{"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\/fr\/blog\/news\/deepmind-predstavil-sistemu-mashinnogo-obucheniya-dlya-generaczii-koda-po-tekstovomu-opisaniyu-zadachi","title":{"rendered":"DeepMind a pr\u00e9sent\u00e9 un syst\u00e8me d'apprentissage automatique pour la g\u00e9n\u00e9ration de code \u00e0 partir d'une description textuelle de la t\u00e2che.","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"

La soci\u00e9t\u00e9 DeepMind, connue pour ses d\u00e9veloppements dans le domaine de l'intelligence artificielle et la cr\u00e9ation de r\u00e9seaux de neurones capables de jouer \u00e0 des jeux vid\u00e9o et de soci\u00e9t\u00e9 au niveau humain, a pr\u00e9sent\u00e9 le projet AlphaCode, qui d\u00e9veloppe un syst\u00e8me d'apprentissage machine pour la g\u00e9n\u00e9ration de code, capable de participer aux comp\u00e9titions de programmation sur la plateforme Codeforces et de d\u00e9montrer des performances moyennes. Une caract\u00e9ristique cl\u00e9 de cette technologie est sa capacit\u00e9 \u00e0 g\u00e9n\u00e9rer du code en Python ou C++, en prenant en entr\u00e9e un \u00e9nonc\u00e9 de probl\u00e8me en anglais. <\/p>\n

Pour tester le syst\u00e8me, 10 nouvelles comp\u00e9titions Codeforces avec plus de 5000 participants ont \u00e9t\u00e9 s\u00e9lectionn\u00e9es, ayant eu lieu apr\u00e8s la formation du mod\u00e8le d'apprentissage machine. Les r\u00e9sultats des t\u00e2ches ont permis au syst\u00e8me AlphaCode de se classer environ au milieu du classement de ces comp\u00e9titions (54,3 %). Le classement total pr\u00e9visionnel d'AlphaCode est de 1238 points, ce qui le place dans le Top 28 % de tous les participants de Codeforces ayant particip\u00e9 \u00e0 des comp\u00e9titions au moins une fois au cours des six derniers mois. Il est \u00e0 noter que le projet en est encore \u00e0 ses d\u00e9buts et qu'\u00e0 l'avenir, il est pr\u00e9vu d'am\u00e9liorer la qualit\u00e9 du code g\u00e9n\u00e9r\u00e9, ainsi que de d\u00e9velopper AlphaCode en tant que syst\u00e8me d'aide \u00e0 la r\u00e9daction de code, ou d'outils de d\u00e9veloppement d'applications accessibles aux personnes sans comp\u00e9tences en programmation. <\/p>\n

Le projet utilise l'architecture de r\u00e9seau de neurones \u00ab Transformer \u00bb en combinaison avec des m\u00e9thodes d'\u00e9chantillonnage et de filtrage, permettant de g\u00e9n\u00e9rer diverses variantes impr\u00e9visibles de code correspondant \u00e0 un texte en langage naturel. Apr\u00e8s filtrage, regroupement et classement, le flux de variantes form\u00e9 permet de s\u00e9lectionner le code de travail le plus optimal, qui est ensuite v\u00e9rifi\u00e9 pour obtenir un r\u00e9sultat correct (dans chaque t\u00e2che de comp\u00e9tition, un exemple de donn\u00e9es d'entr\u00e9e est fourni, ainsi que le r\u00e9sultat correspondant qui doit \u00eatre obtenu apr\u00e8s l'ex\u00e9cution du programme).

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

Pour un entra\u00eenement approfondi du syst\u00e8me d'apprentissage automatique, une base de code accessible dans des d\u00e9p\u00f4ts publics sur GitHub a \u00e9t\u00e9 utilis\u00e9e. Apr\u00e8s la pr\u00e9paration du mod\u00e8le initial, une phase d'optimisation a \u00e9t\u00e9 r\u00e9alis\u00e9e sur la base d'une collection de codes avec des exemples de probl\u00e8mes et de solutions propos\u00e9s aux participants des comp\u00e9titions Codeforces, CodeChef, HackerEarth, AtCoder et Aizu. Au total, 715 Go de code provenant de GitHub et plus d'un million d'exemples de solutions pour des probl\u00e8mes typiques de comp\u00e9titions ont \u00e9t\u00e9 utilis\u00e9s pour l'entra\u00eenement. Avant de passer \u00e0 la g\u00e9n\u00e9ration de code, le texte de la t\u00e2che a pass\u00e9 une phase de normalisation, durant laquelle tout ce qui \u00e9tait superflu a \u00e9t\u00e9 \u00e9limin\u00e9 et seules les parties significatives ont \u00e9t\u00e9 conserv\u00e9es.

\"DeepMind<\/center>
\n
Source : 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 a pr\u00e9sent\u00e9 un syst\u00e8me d'apprentissage automatique pour la g\u00e9n\u00e9ration de code \u00e0 partir d'une description textuelle de la t\u00e2che | ProHoster","description":"La soci\u00e9t\u00e9 DeepMind, qui s'est fait conna\u00eetre pour ses d\u00e9veloppements dans le domaine de l'intelligence artificielle et de la cr\u00e9ation de r\u00e9seaux neuronaux capables de jouer 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