{"id":1137,"date":"2025-01-01T10:00:00","date_gmt":"2025-01-01T09:00:00","guid":{"rendered":"https:\/\/happynumeric.com\/lexique-intelligence-artificielle\/c\/definition-chain-of-thought\/"},"modified":"2025-01-01T10:00:00","modified_gmt":"2025-01-01T09:00:00","slug":"definition-chain-of-thought","status":"publish","type":"post","link":"https:\/\/happynumeric.com\/lexique-intelligence-artificielle\/c\/definition-chain-of-thought\/","title":{"rendered":"Chain of thought"},"content":{"rendered":"<p>Chain of Thought est une technique avanc\u00e9e en prompt engineering qui permet d&rsquo;am\u00e9liorer les performances des mod\u00e8les de langage. Qu&rsquo;est-ce que Chain of Thought ?  C&rsquo;est une m\u00e9thode qui encourage les mod\u00e8les d&rsquo;IA \u00e0 raisonner \u00e9tape par \u00e9tape, comme le ferait un humain, avant de fournir une r\u00e9ponse.<\/p>\n<h3>Comment fonctionne Chain of Thought ?<\/h3>\n<p>Chain of Thought guide les mod\u00e8les de langage pour qu&rsquo;ils d\u00e9composent un probl\u00e8me complexe en une s\u00e9rie d&rsquo;\u00e9tapes logiques.  Au lieu de recevoir une instruction directe pour r\u00e9soudre un probl\u00e8me, le mod\u00e8le est invit\u00e9 \u00e0 verbaliser son raisonnement, explicitant les \u00e9tapes interm\u00e9diaires qui m\u00e8nent \u00e0 la solution. Imaginez que vous demandiez \u00e0 quelqu&rsquo;un de calculer le co\u00fbt total d&rsquo;un panier d&rsquo;achats.  Au lieu de simplement donner le total, Chain of Thought l&rsquo;encouragerait \u00e0 d\u00e9tailler : \u00ab\u00a0Le lait co\u00fbte 2\u20ac, les \u0153ufs 3\u20ac et le pain 1\u20ac. Donc, 2\u20ac + 3\u20ac + 1\u20ac = 6\u20ac. Le total est de 6\u20ac.\u00a0\u00bb<\/p>\n<h3>Pourquoi Chain of Thought est-il important ?<\/h3>\n<p>Cette approche am\u00e9liore la capacit\u00e9 des mod\u00e8les \u00e0 r\u00e9soudre des probl\u00e8mes qui requi\u00e8rent un raisonnement logique, notamment les questions math\u00e9matiques, le raisonnement de sens commun et la r\u00e9solution de probl\u00e8mes. En explicitant le processus de pens\u00e9e, Chain of Thought permet non seulement d&rsquo;obtenir des r\u00e9ponses plus pr\u00e9cises, mais aussi de rendre le raisonnement de l&rsquo;IA plus transparent et compr\u00e9hensible pour les utilisateurs. Par exemple, en demandant \u00e0 un mod\u00e8le de r\u00e9soudre un probl\u00e8me de logique avec Chain of Thought, on peut observer comment il arrive \u00e0 la solution, ce qui permet d&rsquo;identifier plus facilement les erreurs de raisonnement et d&rsquo;am\u00e9liorer la conception du prompt.<\/p>\n<h3>Termes associ\u00e9s<\/h3>\n<ul id=\"TermesAssocies\">\n<li><a href=\"https:\/\/happynumeric.com\/lexique-intelligence-artificielle\/?s=Prompt+Engineering\">Prompt Engineering<\/a><\/li>\n<li><a href=\"https:\/\/happynumeric.com\/lexique-intelligence-artificielle\/?s=Raisonnement+pas+%C3%A0+pas\">Raisonnement pas \u00e0 pas<\/a><\/li>\n<li><a href=\"https:\/\/happynumeric.com\/lexique-intelligence-artificielle\/?s=Apprentissage+automatique\">Apprentissage automatique<\/a><\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>Chain of Thought est une technique avanc\u00e9e en prompt engineering qui permet d&rsquo;am\u00e9liorer les performances des mod\u00e8les de langage. Qu&rsquo;est-ce que Chain of Thought ? C&rsquo;est une m\u00e9thode qui encourage les mod\u00e8les d&rsquo;IA \u00e0 raisonner \u00e9tape par \u00e9tape, comme le ferait un humain, avant de fournir une r\u00e9ponse. Comment fonctionne Chain of Thought ? Chain [&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":[17],"tags":[44,569,12,570],"class_list":["post-1137","post","type-post","status-publish","format-standard","hentry","category-c","tag-apprentissage-automatique","tag-chain-of-thought","tag-prompt-engineering","tag-raisonnement-pas-a-pas"],"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":"Chain of Thought est une technique avanc\u00e9e en prompt engineering qui permet d&rsquo;am\u00e9liorer les performances des mod\u00e8les de langage. Qu&rsquo;est-ce que Chain of Thought ? C&rsquo;est une m\u00e9thode qui encourage les mod\u00e8les d&rsquo;IA \u00e0 raisonner \u00e9tape par \u00e9tape, comme le ferait un humain, avant de fournir une r\u00e9ponse. Comment fonctionne Chain of Thought ? Chain\u2026","_links":{"self":[{"href":"https:\/\/happynumeric.com\/lexique-intelligence-artificielle\/wp-json\/wp\/v2\/posts\/1137","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=1137"}],"version-history":[{"count":0,"href":"https:\/\/happynumeric.com\/lexique-intelligence-artificielle\/wp-json\/wp\/v2\/posts\/1137\/revisions"}],"wp:attachment":[{"href":"https:\/\/happynumeric.com\/lexique-intelligence-artificielle\/wp-json\/wp\/v2\/media?parent=1137"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/happynumeric.com\/lexique-intelligence-artificielle\/wp-json\/wp\/v2\/categories?post=1137"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/happynumeric.com\/lexique-intelligence-artificielle\/wp-json\/wp\/v2\/tags?post=1137"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}