{"id":211023,"date":"2023-08-28T15:00:00","date_gmt":"2023-08-28T15:00:00","guid":{"rendered":"https:\/\/datascientest.com\/?p=211023"},"modified":"2023-08-28T15:20:25","modified_gmt":"2023-08-28T15:20:25","slug":"meta-annonce-code-llama-son-generateur-de-code-alimente-par-lia","status":"publish","type":"post","link":"https:\/\/datascientest.com\/meta-annonce-code-llama-son-generateur-de-code-alimente-par-lia","title":{"rendered":"Meta annonce Code Llama, son g\u00e9n\u00e9rateur de code aliment\u00e9 par l\u2019IA"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-post\" data-elementor-id=\"211023\" class=\"elementor elementor-211023\" data-elementor-post-type=\"post\">\n\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-ddb49f2 e-flex e-con-boxed e-con\" data-id=\"ddb49f2\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-487a4c0 elementor-widget elementor-widget-heading\" data-id=\"487a4c0\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style>\/*! elementor - v3.15.0 - 02-08-2023 *\/\n.elementor-heading-title{padding:0;margin:0;line-height:1}.elementor-widget-heading .elementor-heading-title[class*=elementor-size-]>a{color:inherit;font-size:inherit;line-height:inherit}.elementor-widget-heading .elementor-heading-title.elementor-size-small{font-size:15px}.elementor-widget-heading .elementor-heading-title.elementor-size-medium{font-size:19px}.elementor-widget-heading .elementor-heading-title.elementor-size-large{font-size:29px}.elementor-widget-heading .elementor-heading-title.elementor-size-xl{font-size:39px}.elementor-widget-heading .elementor-heading-title.elementor-size-xxl{font-size:59px}<\/style><h2 class=\"elementor-heading-title elementor-size-default\">Dans sa continuit\u00e9 de cr\u00e9ations d\u2019outils IA open source, Meta d\u00e9voile son nouveau g\u00e9n\u00e9rateur de code intelligent, Code Llama. Disponibles pour tous, plusieurs versions du mod\u00e8le existent, dont une pour Python.<\/h2>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-a523da2 e-flex e-con-boxed e-con\" data-id=\"a523da2\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-6a3d9a9 elementor-widget elementor-widget-heading\" data-id=\"6a3d9a9\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">Un g\u00e9n\u00e9rateur de code intelligent ?<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-3975880 elementor-widget elementor-widget-text-editor\" data-id=\"3975880\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style>\/*! elementor - v3.15.0 - 02-08-2023 *\/\n.elementor-widget-text-editor.elementor-drop-cap-view-stacked .elementor-drop-cap{background-color:#69727d;color:#fff}.elementor-widget-text-editor.elementor-drop-cap-view-framed .elementor-drop-cap{color:#69727d;border:3px solid;background-color:transparent}.elementor-widget-text-editor:not(.elementor-drop-cap-view-default) .elementor-drop-cap{margin-top:8px}.elementor-widget-text-editor:not(.elementor-drop-cap-view-default) .elementor-drop-cap-letter{width:1em;height:1em}.elementor-widget-text-editor .elementor-drop-cap{float:left;text-align:center;line-height:1;font-size:50px}.elementor-widget-text-editor .elementor-drop-cap-letter{display:inline-block}<\/style>\t\t\t\t<p><span style=\"font-weight: 400;\">Bas\u00e9 sur <\/span><a href=\"https:\/\/datascientest.com\/meta-devoile-llama-2-mais-cette-fois-en-open-source-pourquoi-est-ce-important\" target=\"_blank\" rel=\"noopener\"><span style=\"font-weight: 400;\">son grand mod\u00e8le de langage Llama 2<\/span><\/a><span style=\"font-weight: 400;\">. Ce nouvel outil, sp\u00e9cialement con\u00e7u pour la programmation et les d\u00e9veloppeurs, permet <\/span><b>la g\u00e9n\u00e9ration de code et la production en langage naturel<\/b><span style=\"font-weight: 400;\">, en r\u00e9ponse \u00e0 des prompts en code ou en langage naturel. Gratuit pour la recherche et l\u2019usage commercial, Code Llama est <\/span><a href=\"https:\/\/ai.meta.com\/resources\/models-and-libraries\/llama-downloads\/\" target=\"_blank\" rel=\"noopener\"><span style=\"font-weight: 400;\">disponible<\/span><\/a><span style=\"font-weight: 400;\"> en trois versions :<\/span><\/p><ul><li style=\"font-weight: 400;\" aria-level=\"1\"><b>Code Llama :<\/b><span style=\"font-weight: 400;\"> le mod\u00e8le de base pour la g\u00e9n\u00e9ration de code<\/span><\/li><li style=\"font-weight: 400;\" aria-level=\"1\"><b>Code Llama Python :<\/b><span style=\"font-weight: 400;\"> sp\u00e9cialement con\u00e7u pour le langage de programmation Python<\/span><\/li><li style=\"font-weight: 400;\" aria-level=\"1\"><b>Code Llama Instruct<\/b> <b>:<\/b><span style=\"font-weight: 400;\"> affin\u00e9 pour comprendre et g\u00e9n\u00e9rer des r\u00e9ponses en langage naturel \u00e0 partir d\u2019instructions.<\/span><\/li><\/ul><p>\u00a0<\/p><p><span style=\"font-weight: 400;\">La flexibilit\u00e9 de Code Llama le rend adaptable \u00e0 <\/span><b>plusieurs langages de programmation<\/b><span style=\"font-weight: 400;\">, dont les plus utilis\u00e9s : <\/span><a href=\"https:\/\/datascientest.com\/python-tout-savoir\" target=\"_blank\" rel=\"noopener\"><span style=\"font-weight: 400;\">Python<\/span><\/a><span style=\"font-weight: 400;\">, C++, Java, PHP, C# ou encore <\/span><a href=\"https:\/\/datascientest.com\/bash-tout-savoir\" target=\"_blank\" rel=\"noopener\"><span style=\"font-weight: 400;\">Bash<\/span><\/a><span style=\"font-weight: 400;\">.<\/span><\/p><p><span style=\"font-weight: 400;\">En plus des versions, Meta propose <\/span><b>trois tailles de Code Llama<\/b><span style=\"font-weight: 400;\"> avec respectivement <\/span><b>7, 13 et 34 milliards de param\u00e8tres<\/b><span style=\"font-weight: 400;\">. Chacun de ces mod\u00e8les est entra\u00een\u00e9 avec <\/span><b>500 milliards<\/b><span style=\"font-weight: 400;\"> de jetons et de donn\u00e9es li\u00e9es \u00e0 la programmation.\u00a0<\/span><\/p><p><span style=\"font-weight: 400;\">Mais alors qu\u2019est-ce qui les distingue ? Les trois mod\u00e8les r\u00e9pondent \u00e0 des exigences diff\u00e9rentes en mati\u00e8re de service et de temps de latence. Le mod\u00e8le <\/span><b>7B<\/b><span style=\"font-weight: 400;\">, par exemple, peut \u00eatre servi sur <\/span><b>un seul GPU<\/b><span style=\"font-weight: 400;\">. Le mod\u00e8le <\/span><b>34B<\/b><span style=\"font-weight: 400;\"> donne <\/span><b>les meilleurs r\u00e9sultats<\/b><span style=\"font-weight: 400;\"> et permet une meilleure assistance au codage, mais les mod\u00e8les <\/span><b>7B<\/b><span style=\"font-weight: 400;\"> et <\/span><b>13B<\/b><span style=\"font-weight: 400;\"> sont plus petits et donc plus rapides et mieux adapt\u00e9s aux t\u00e2ches n\u00e9cessitant une faible latence, comme <\/span><b>la compl\u00e9tion de code en temps r\u00e9el<\/b><span style=\"font-weight: 400;\">.<\/span><\/p><p><span style=\"font-weight: 400;\">Aussi, les mod\u00e8les de base et d&rsquo;instruction 7B et 13B ont \u00e9galement \u00e9t\u00e9 entra\u00een\u00e9s avec <\/span><b>la capacit\u00e9 FIM <\/b><span style=\"font-weight: 400;\">(fill-in-the-middle), ce qui leur permet d&rsquo;ins\u00e9rer du code dans le code existant.<\/span><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-7fc7dc1 elementor-widget elementor-widget-image\" data-id=\"7fc7dc1\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style>\/*! elementor - v3.15.0 - 02-08-2023 *\/\n.elementor-widget-image{text-align:center}.elementor-widget-image a{display:inline-block}.elementor-widget-image a img[src$=\".svg\"]{width:48px}.elementor-widget-image img{vertical-align:middle;display:inline-block}<\/style>\t\t\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" width=\"800\" height=\"604\" src=\"https:\/\/datascientest.com\/wp-content\/uploads\/2023\/08\/369634634_298372716122486_560769700771259146_n.gif\" class=\"attachment-large size-large wp-image-211025\" alt=\"\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-d5c28ca e-flex e-con-boxed e-con\" data-id=\"d5c28ca\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-21f06b7 elementor-align-center button-principal elementor-widget elementor-widget-button\" data-id=\"21f06b7\" data-element_type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-md\" href=\"https:\/\/datascientest.com\/formations-data\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t<span class=\"elementor-button-text\">Apprendre \u00e0 utiliser Code Llama<\/span>\n\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-9b712da elementor-widget elementor-widget-heading\" data-id=\"9b712da\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">Meilleur que ses concurrents ?<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-3aa6c6e elementor-widget elementor-widget-text-editor\" data-id=\"3aa6c6e\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\">Contrairement \u00e0 <\/span><a href=\"https:\/\/datascientest.com\/gpt-4-sintegre-dans-github-copilot-tout-savoir-sur-ces-changements\" target=\"_blank\" rel=\"noopener\"><span style=\"font-weight: 400;\">GitHub Copilot d\u2019OpenAI<\/span><\/a><span style=\"font-weight: 400;\"> et <\/span><a href=\"https:\/\/datascientest.com\/google-et-replit-sassocient-pour-concurrencer-github\" target=\"_blank\" rel=\"noopener\"><span style=\"font-weight: 400;\">le Ghostwriter de Google<\/span><\/a><span style=\"font-weight: 400;\">, Code Llama se r\u00e9v\u00e8le \u00eatre <\/span><b>un mod\u00e8le de langage polyvalent<\/b><span style=\"font-weight: 400;\">, capable de g\u00e9n\u00e9rer du code complet, compl\u00e9ter des parties de code et aider \u00e0 d\u00e9boguer des programmes. Les capacit\u00e9s de r\u00e9daction en langage naturel facilitent l\u2019apprentissage pour <\/span><b>les d\u00e9butants<\/b><span style=\"font-weight: 400;\">, mais <\/span><b>les d\u00e9veloppeurs plus exp\u00e9riment\u00e9s<\/b><span style=\"font-weight: 400;\"> y trouveront \u00e9galement des suggestions pertinentes et une assistance pour r\u00e9diger un code plus robuste et mieux document\u00e9.<\/span><\/p><p><span style=\"font-weight: 400;\">Par rapport aux autres solutions existantes, <\/span><a href=\"https:\/\/ai.meta.com\/blog\/code-llama-large-language-model-coding\/\" target=\"_blank\" rel=\"noopener\"><span style=\"font-weight: 400;\">Meta<\/span><\/a><span style=\"font-weight: 400;\"> a r\u00e9alis\u00e9 son propre benchmark pour tester Code Llama en utilisant <\/span><b>HumanEval<\/b><span style=\"font-weight: 400;\"> et <\/span><b>MBPP<\/b><span style=\"font-weight: 400;\"> (Mostly basic Python programming). Les r\u00e9sultats ont r\u00e9v\u00e9l\u00e9 que Code Llama a <\/span><b>mieux perform\u00e9 que Llama 2<\/b><span style=\"font-weight: 400;\"> avec <\/span><b>53,7 %<\/b><span style=\"font-weight: 400;\"> sur HumanEval et <\/span><b>56,2 %<\/b><span style=\"font-weight: 400;\"> sur MBPP pour la version Python.<\/span><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-86025c4 elementor-widget elementor-widget-image\" data-id=\"86025c4\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" width=\"800\" height=\"976\" src=\"https:\/\/datascientest.com\/wp-content\/uploads\/2023\/08\/369682932_681515836750953_6337320211215231153_n-839x1024.jpg\" class=\"attachment-large size-large wp-image-211026\" alt=\"\" srcset=\"https:\/\/datascientest.com\/wp-content\/uploads\/2023\/08\/369682932_681515836750953_6337320211215231153_n-839x1024.jpg 839w, https:\/\/datascientest.com\/wp-content\/uploads\/2023\/08\/369682932_681515836750953_6337320211215231153_n-246x300.jpg 246w, https:\/\/datascientest.com\/wp-content\/uploads\/2023\/08\/369682932_681515836750953_6337320211215231153_n-768x938.jpg 768w, https:\/\/datascientest.com\/wp-content\/uploads\/2023\/08\/369682932_681515836750953_6337320211215231153_n.jpg 1078w\" sizes=\"(max-width: 800px) 100vw, 800px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-f29c0a6 elementor-widget elementor-widget-text-editor\" data-id=\"f29c0a6\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\">Si la course \u00e0 l\u2019innovation et \u00e0 la concurrence ne s\u2019arr\u00eate pas pour les grandes entreprises du num\u00e9rique, elle peut se montrer <\/span><b>tr\u00e8s avantageuse pour les utilisateurs<\/b><span style=\"font-weight: 400;\">. Ne reste plus qu\u2019\u00e0 se former \u00e0 ces nouveaux produits pour \u00eatre \u00e0 la pointe des derni\u00e8res innovations. Si cet article vous a plu et que l\u2019actualit\u00e9 data vous int\u00e9resse ou que vous envisagez une formation en Data Science, n\u2019h\u00e9sitez pas \u00e0 d\u00e9couvrir <\/span><a href=\"https:\/\/datascientest.com\/blog-data-ia-actualites\" target=\"_blank\" rel=\"noopener\"><span style=\"font-weight: 400;\">nos articles<\/span><\/a><span style=\"font-weight: 400;\"> ou <\/span><a href=\"https:\/\/datascientest.com\/formations-data\" target=\"_blank\" rel=\"noopener\"><span style=\"font-weight: 400;\">nos offres de formations<\/span><\/a><span style=\"font-weight: 400;\"> sur DataScientest.<\/span><\/p><p><i><span style=\"font-weight: 400;\">Source : ai.meta.com<\/span><\/i><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-ef5d20b elementor-align-center button-principal elementor-widget elementor-widget-button\" data-id=\"ef5d20b\" data-element_type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-md\" href=\"https:\/\/datascientest.com\/formations-data\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t<span class=\"elementor-button-text\">D\u00e9couvrir nos formations en Big Data<\/span>\n\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>Dans sa continuit\u00e9 de cr\u00e9ations d\u2019outils IA open source, Meta d\u00e9voile son nouveau g\u00e9n\u00e9rateur de code intelligent, Code Llama. Disponibles pour tous, plusieurs versions du mod\u00e8le existent, dont une pour Python. Un g\u00e9n\u00e9rateur de code intelligent ? Bas\u00e9 sur son grand mod\u00e8le de langage Llama 2. Ce nouvel outil, sp\u00e9cialement con\u00e7u pour la programmation et [&hellip;]<\/p>\n","protected":false},"author":45,"featured_media":211024,"comment_status":"open","ping_status":"open","sticky":false,"template":"elementor_theme","format":"standard","meta":{"content-type":"","inline_featured_image":false},"categories":[2431],"tags":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v21.7 (Yoast SEO v21.7) - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Meta annonce Code Llama, son g\u00e9n\u00e9rateur de code aliment\u00e9 par l\u2019IA<\/title>\n<meta name=\"description\" content=\"Dans sa continuit\u00e9 de cr\u00e9ations d\u2019outils IA open source, Meta d\u00e9voile son nouveau g\u00e9n\u00e9rateur de code intelligent, Code Llama.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" 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