{"id":1176,"date":"2025-01-01T10:00:00","date_gmt":"2025-01-01T09:00:00","guid":{"rendered":"https:\/\/happynumeric.com\/lexique-intelligence-artificielle\/t\/definition-tot\/"},"modified":"2025-01-01T10:00:00","modified_gmt":"2025-01-01T09:00:00","slug":"definition-tot","status":"publish","type":"post","link":"https:\/\/happynumeric.com\/lexique-intelligence-artificielle\/t\/definition-tot\/","title":{"rendered":"Tot"},"content":{"rendered":"<p>ToT, ou \u00ab\u00a0Tree of Thoughts\u00a0\u00bb, 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 ToT ?  C&rsquo;est une m\u00e9thode qui guide le raisonnement d&rsquo;un mod\u00e8le de langage en explorant diff\u00e9rentes voies de pens\u00e9es, comme un arbre avec ses branches, pour r\u00e9soudre des probl\u00e8mes complexes.<\/p>\n<h3>Comment fonctionne ToT ?<\/h3>\n<p>ToT permet aux mod\u00e8les de langage de d\u00e9composer un probl\u00e8me complexe en plusieurs sous-probl\u00e8mes, et d&rsquo;explorer diff\u00e9rentes solutions pour chaque sous-probl\u00e8me. Imaginez que vous devez planifier un voyage.  Au lieu de tout organiser d&rsquo;un coup, vous pourriez utiliser ToT pour diviser la t\u00e2che\u00a0: 1) Choisir la destination, 2) R\u00e9server les vols, 3) Trouver un h\u00e9bergement, etc. Pour chaque \u00e9tape, vous explorez plusieurs options (Paris, Rome, Londres pour la destination) et \u00e9valuez les avantages et les inconv\u00e9nients avant de passer \u00e0 l&rsquo;\u00e9tape suivante.  ToT fonctionne de mani\u00e8re similaire en cr\u00e9ant un \u00ab\u00a0arbre de pens\u00e9es\u00a0\u00bb o\u00f9 chaque branche repr\u00e9sente une possibilit\u00e9 et chaque n\u0153ud une \u00e9tape du raisonnement.<\/p>\n<h3>Pourquoi ToT est-il important\u00a0?<\/h3>\n<p>ToT est important car il permet de r\u00e9soudre des probl\u00e8mes qui n\u00e9cessitent un raisonnement plus profond et plus structur\u00e9 que les approches traditionnelles de prompt engineering.  Il permet aux mod\u00e8les de langage de mieux g\u00e9rer les probl\u00e8mes complexes en les d\u00e9composant en \u00e9tapes et en explorant diff\u00e9rentes solutions, comme la planification d&rsquo;un itin\u00e9raire complexe ou la r\u00e9solution d&rsquo;un probl\u00e8me math\u00e9matique.<\/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=Chain-of-Thought+%28CoT%29\">Chain-of-Thought (CoT)<\/a><\/li>\n<li><a href=\"https:\/\/happynumeric.com\/lexique-intelligence-artificielle\/?s=Raisonnement+en+IA\">Raisonnement en IA<\/a><\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>ToT, ou \u00ab\u00a0Tree of Thoughts\u00a0\u00bb, 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 ToT ? C&rsquo;est une m\u00e9thode qui guide le raisonnement d&rsquo;un mod\u00e8le de langage en explorant diff\u00e9rentes voies de pens\u00e9es, comme un arbre avec ses branches, pour r\u00e9soudre des probl\u00e8mes complexes. Comment fonctionne [&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":[30],"tags":[646,12,645,644],"class_list":["post-1176","post","type-post","status-publish","format-standard","hentry","category-t","tag-chain-of-thought-cot","tag-prompt-engineering","tag-raisonnement-en-ia","tag-tot"],"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":"ToT, ou \u00ab\u00a0Tree of Thoughts\u00a0\u00bb, 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 ToT ? C&rsquo;est une m\u00e9thode qui guide le raisonnement d&rsquo;un mod\u00e8le de langage en explorant diff\u00e9rentes voies de pens\u00e9es, comme un arbre avec ses branches, pour r\u00e9soudre des probl\u00e8mes complexes. Comment fonctionne\u2026","_links":{"self":[{"href":"https:\/\/happynumeric.com\/lexique-intelligence-artificielle\/wp-json\/wp\/v2\/posts\/1176","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=1176"}],"version-history":[{"count":0,"href":"https:\/\/happynumeric.com\/lexique-intelligence-artificielle\/wp-json\/wp\/v2\/posts\/1176\/revisions"}],"wp:attachment":[{"href":"https:\/\/happynumeric.com\/lexique-intelligence-artificielle\/wp-json\/wp\/v2\/media?parent=1176"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/happynumeric.com\/lexique-intelligence-artificielle\/wp-json\/wp\/v2\/categories?post=1176"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/happynumeric.com\/lexique-intelligence-artificielle\/wp-json\/wp\/v2\/tags?post=1176"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}