{"id":1156,"date":"2025-01-01T10:00:00","date_gmt":"2025-01-01T09:00:00","guid":{"rendered":"https:\/\/happynumeric.com\/lexique-intelligence-artificielle\/r\/definition-reason-act\/"},"modified":"2025-01-01T10:00:00","modified_gmt":"2025-01-01T09:00:00","slug":"definition-reason-act","status":"publish","type":"post","link":"https:\/\/happynumeric.com\/lexique-intelligence-artificielle\/r\/definition-reason-act\/","title":{"rendered":"Reason &#038; act"},"content":{"rendered":"<p>Le \u00ab\u00a0Reason &amp; Act\u00a0\u00bb est une approche \u00e9mergente en intelligence artificielle, notamment dans le domaine du prompt engineering, qui vise \u00e0 doter les mod\u00e8les d&rsquo;une capacit\u00e9 de raisonnement plus pouss\u00e9e. Qu\u2019est-ce que Reason &amp; Act ?  C&rsquo;est une technique qui permet aux IA de d\u00e9composer des t\u00e2ches complexes en \u00e9tapes plus simples, en alternant des phases de raisonnement et d&rsquo;action pour atteindre un objectif donn\u00e9.<\/p>\n<h3>Comment fonctionne Reason &amp; Act ?<\/h3>\n<p>Le principe du \u00ab\u00a0Reason &amp; Act\u00a0\u00bb est d&rsquo;imiter le processus de r\u00e9solution de probl\u00e8mes humain.  Imaginez que vous devez pr\u00e9parer un g\u00e2teau. Vous ne vous lancez pas directement dans la recette sans r\u00e9fl\u00e9chir. Vous raisonnez d&rsquo;abord : lisez la recette, v\u00e9rifiez les ingr\u00e9dients, pr\u00e9chauffez le four. Puis, vous agissez : m\u00e9langez les ingr\u00e9dients, versez la p\u00e2te dans le moule, enfournez.  \u00ab\u00a0Reason &amp; Act\u00a0\u00bb applique cette logique aux IA.  Face \u00e0 une t\u00e2che, l&rsquo;IA \u00ab\u00a0raisonne\u00a0\u00bb en analysant le contexte, en planifiant les \u00e9tapes n\u00e9cessaires et en s\u00e9lectionnant les outils appropri\u00e9s.  Ensuite, elle \u00ab\u00a0agit\u00a0\u00bb en ex\u00e9cutant une action concr\u00e8te. Ce cycle se r\u00e9p\u00e8te jusqu&rsquo;\u00e0 l&rsquo;obtention du r\u00e9sultat souhait\u00e9.<\/p>\n<h3>Pourquoi Reason &amp; Act est-il important ?<\/h3>\n<p>\u00ab\u00a0Reason &amp; Act\u00a0\u00bb est crucial car il permet d&rsquo;am\u00e9liorer l&rsquo;efficacit\u00e9 et la fiabilit\u00e9 des IA, notamment dans des sc\u00e9narios complexes.  En d\u00e9composant un probl\u00e8me en sous-t\u00e2ches, l&rsquo;IA peut g\u00e9rer des situations plus nuanc\u00e9es et adapter sa strat\u00e9gie en fonction des r\u00e9sultats obtenus \u00e0 chaque \u00e9tape.  Cette approche rend les IA plus autonomes, moins d\u00e9pendantes d&rsquo;instructions pr\u00e9cises, et capables de s&rsquo;adapter \u00e0 des situations impr\u00e9vues.<\/p>\n<h3>Termes associ\u00e9s<\/h3>\n<ul id=\"TermesAssocies\">\n<li><a href=\"https:\/\/happynumeric.com\/lexique-intelligence-artificielle\/?s=Chain-of-Thought\">Chain-of-Thought<\/a><\/li>\n<li><a href=\"https:\/\/happynumeric.com\/lexique-intelligence-artificielle\/?s=LangChain\">LangChain<\/a><\/li>\n<li><a href=\"https:\/\/happynumeric.com\/lexique-intelligence-artificielle\/?s=Agents+autonomes\">Agents autonomes<\/a><\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>Le \u00ab\u00a0Reason &amp; Act\u00a0\u00bb est une approche \u00e9mergente en intelligence artificielle, notamment dans le domaine du prompt engineering, qui vise \u00e0 doter les mod\u00e8les d&rsquo;une capacit\u00e9 de raisonnement plus pouss\u00e9e. Qu\u2019est-ce que Reason &amp; Act ? C&rsquo;est une technique qui permet aux IA de d\u00e9composer des t\u00e2ches complexes en \u00e9tapes plus simples, en alternant des [&hellip;]<\/p>\n","protected":false},"author":0,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_uag_custom_page_level_css":"","site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","theme-transparent-header-meta":"","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"default","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"ast-content-background-meta":{"desktop":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"footnotes":""},"categories":[59],"tags":[606,569,608,607],"class_list":["post-1156","post","type-post","status-publish","format-standard","hentry","category-r","tag-agents-autonomes","tag-chain-of-thought","tag-langchain","tag-reason-act"],"uagb_featured_image_src":{"full":false,"thumbnail":false,"medium":false,"medium_large":false,"large":false,"1536x1536":false,"2048x2048":false},"uagb_author_info":{"display_name":"","author_link":"https:\/\/happynumeric.com\/lexique-intelligence-artificielle\/author\/"},"uagb_comment_info":0,"uagb_excerpt":"Le \u00ab\u00a0Reason &amp; Act\u00a0\u00bb est une approche \u00e9mergente en intelligence artificielle, notamment dans le domaine du prompt engineering, qui vise \u00e0 doter les mod\u00e8les d&rsquo;une capacit\u00e9 de raisonnement plus pouss\u00e9e. Qu\u2019est-ce que Reason &amp; Act ? C&rsquo;est une technique qui permet aux IA de d\u00e9composer des t\u00e2ches complexes en \u00e9tapes plus simples, en alternant des\u2026","_links":{"self":[{"href":"https:\/\/happynumeric.com\/lexique-intelligence-artificielle\/wp-json\/wp\/v2\/posts\/1156","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/happynumeric.com\/lexique-intelligence-artificielle\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/happynumeric.com\/lexique-intelligence-artificielle\/wp-json\/wp\/v2\/types\/post"}],"replies":[{"embeddable":true,"href":"https:\/\/happynumeric.com\/lexique-intelligence-artificielle\/wp-json\/wp\/v2\/comments?post=1156"}],"version-history":[{"count":0,"href":"https:\/\/happynumeric.com\/lexique-intelligence-artificielle\/wp-json\/wp\/v2\/posts\/1156\/revisions"}],"wp:attachment":[{"href":"https:\/\/happynumeric.com\/lexique-intelligence-artificielle\/wp-json\/wp\/v2\/media?parent=1156"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/happynumeric.com\/lexique-intelligence-artificielle\/wp-json\/wp\/v2\/categories?post=1156"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/happynumeric.com\/lexique-intelligence-artificielle\/wp-json\/wp\/v2\/tags?post=1156"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}