{"id":1202,"date":"2025-01-01T10:00:00","date_gmt":"2025-01-01T09:00:00","guid":{"rendered":"https:\/\/happynumeric.com\/lexique-intelligence-artificielle\/t\/definition-tap\/"},"modified":"2025-01-01T10:00:00","modified_gmt":"2025-01-01T09:00:00","slug":"definition-tap","status":"publish","type":"post","link":"https:\/\/happynumeric.com\/lexique-intelligence-artificielle\/t\/definition-tap\/","title":{"rendered":"Tap"},"content":{"rendered":"<p>Le TAP, ou Test-time Adaptation Prompt, est une technique novatrice en prompt engineering qui permet d&rsquo;adapter vos prompts aux sp\u00e9cificit\u00e9s d&rsquo;une t\u00e2che lors de l&rsquo;inf\u00e9rence. Qu&rsquo;est-ce que TAP ?  C&rsquo;est une m\u00e9thode qui affine un prompt initial en le combinant avec des exemples sp\u00e9cifiques au contexte de la t\u00e2che \u00e0 effectuer, am\u00e9liorant ainsi la performance des mod\u00e8les d&rsquo;IA.<\/p>\n<h3>Comment fonctionne TAP ?<\/h3>\n<p>TAP fonctionne en injectant des informations contextuelles directement dans le prompt. Imaginez que vous demandiez \u00e0 un artiste de dessiner un \u00ab\u00a0chat\u00a0\u00bb.  Avec TAP, vous pourriez pr\u00e9ciser \u00ab\u00a0un chat roux, assis sur un coussin, regardant par la fen\u00eatre\u00a0\u00bb pour obtenir un r\u00e9sultat plus pr\u00e9cis.  Techniquement, le prompt initial est enrichi avec des exemples (le chat roux, le coussin, la fen\u00eatre) qui guident le mod\u00e8le vers la r\u00e9ponse souhait\u00e9e.  Ce processus d&rsquo;adaptation se fait au moment du test, d&rsquo;o\u00f9 le nom \u00ab\u00a0Test-time Adaptation\u00a0\u00bb.<\/p>\n<h3>Pourquoi TAP est-il important ?<\/h3>\n<p>TAP est crucial car il permet d&rsquo;am\u00e9liorer la pr\u00e9cision et la pertinence des mod\u00e8les d&rsquo;IA sans n\u00e9cessiter de r\u00e9entra\u00eenement co\u00fbteux.  En adaptant le prompt \u00e0 la t\u00e2che sp\u00e9cifique, vous guidez le mod\u00e8le vers une meilleure compr\u00e9hension du contexte et des nuances, obtenant ainsi des r\u00e9sultats plus performants. Par exemple, si vous utilisez un mod\u00e8le pour la traduction et que vous souhaitez traduire un texte m\u00e9dical, l&rsquo;ajout d&rsquo;exemples de termes m\u00e9dicaux dans le prompt via TAP peut grandement am\u00e9liorer la qualit\u00e9 de la traduction.<\/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=In-Context+Learning\">In-Context Learning<\/a><\/li>\n<li><a href=\"https:\/\/happynumeric.com\/lexique-intelligence-artificielle\/?s=Fine-tuning\">Fine-tuning<\/a><\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>Le TAP, ou Test-time Adaptation Prompt, est une technique novatrice en prompt engineering qui permet d&rsquo;adapter vos prompts aux sp\u00e9cificit\u00e9s d&rsquo;une t\u00e2che lors de l&rsquo;inf\u00e9rence. Qu&rsquo;est-ce que TAP ? C&rsquo;est une m\u00e9thode qui affine un prompt initial en le combinant avec des exemples sp\u00e9cifiques au contexte de la t\u00e2che \u00e0 effectuer, am\u00e9liorant ainsi la performance [&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":[260,697,12,696],"class_list":["post-1202","post","type-post","status-publish","format-standard","hentry","category-t","tag-fine-tuning","tag-in-context-learning","tag-prompt-engineering","tag-tap"],"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 TAP, ou Test-time Adaptation Prompt, est une technique novatrice en prompt engineering qui permet d&rsquo;adapter vos prompts aux sp\u00e9cificit\u00e9s d&rsquo;une t\u00e2che lors de l&rsquo;inf\u00e9rence. Qu&rsquo;est-ce que TAP ? C&rsquo;est une m\u00e9thode qui affine un prompt initial en le combinant avec des exemples sp\u00e9cifiques au contexte de la t\u00e2che \u00e0 effectuer, am\u00e9liorant ainsi la performance\u2026","_links":{"self":[{"href":"https:\/\/happynumeric.com\/lexique-intelligence-artificielle\/wp-json\/wp\/v2\/posts\/1202","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=1202"}],"version-history":[{"count":0,"href":"https:\/\/happynumeric.com\/lexique-intelligence-artificielle\/wp-json\/wp\/v2\/posts\/1202\/revisions"}],"wp:attachment":[{"href":"https:\/\/happynumeric.com\/lexique-intelligence-artificielle\/wp-json\/wp\/v2\/media?parent=1202"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/happynumeric.com\/lexique-intelligence-artificielle\/wp-json\/wp\/v2\/categories?post=1202"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/happynumeric.com\/lexique-intelligence-artificielle\/wp-json\/wp\/v2\/tags?post=1202"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}