{"id":848,"date":"2025-01-31T23:34:00","date_gmt":"2025-01-01T09:00:00","guid":{"rendered":"https:\/\/happynumeric.com\/lexique-intelligence-artificielle\/a\/definition_algorithme-de-descente-de-gradient\/"},"modified":"2025-06-05T23:27:06","modified_gmt":"2025-06-05T21:27:06","slug":"definition-algorithme-de-descente-de-gradient","status":"publish","type":"post","link":"https:\/\/happynumeric.com\/lexique-intelligence-artificielle\/a\/definition-algorithme-de-descente-de-gradient\/","title":{"rendered":"Algorithme de descente de gradient"},"content":{"rendered":"<p>L&rsquo;algorithme de descente de gradient est une technique fondamentale en apprentissage automatique, notamment pour l&rsquo;optimisation des mod\u00e8les et le prompt engineering. Qu&rsquo;est-ce que l&rsquo;algorithme de descente de gradient ?  C&rsquo;est une m\u00e9thode it\u00e9rative utilis\u00e9e pour trouver le minimum d&rsquo;une fonction, comme la fonction de co\u00fbt d&rsquo;un mod\u00e8le d&rsquo;IA.<\/p>\n<h3>Comment fonctionne l&rsquo;algorithme de descente de gradient ?<\/h3>\n<p>Imaginez que vous \u00eates sur le flanc d&rsquo;une montagne dans un \u00e9pais brouillard et que vous cherchez \u00e0 atteindre la vall\u00e9e. Vous ne pouvez pas voir le chemin complet, mais vous pouvez sentir la pente sous vos pieds.  L&rsquo;algorithme de descente de gradient fonctionne de la m\u00eame mani\u00e8re : il suit la pente la plus raide pour descendre progressivement vers le point le plus bas.  En IA, cette \u00ab montagne \u00bb repr\u00e9sente la fonction de co\u00fbt du mod\u00e8le et la \u00ab vall\u00e9e \u00bb le minimum de cette fonction, synonyme de meilleures performances du mod\u00e8le. \u00c0 chaque \u00e9tape, l&rsquo;algorithme ajuste les param\u00e8tres du mod\u00e8le dans la direction qui r\u00e9duit le plus la fonction de co\u00fbt.<\/p>\n<h3>Pourquoi l&rsquo;algorithme de descente de gradient est-il important ?<\/h3>\n<p>Cet algorithme est crucial car il permet d&rsquo;entra\u00eener efficacement des mod\u00e8les d&rsquo;IA complexes.  En minimisant la fonction de co\u00fbt, il am\u00e9liore la pr\u00e9cision et la performance du mod\u00e8le. En prompt engineering, par exemple, l&rsquo;algorithme de descente de gradient peut \u00eatre utilis\u00e9 pour affiner les param\u00e8tres d&rsquo;un mod\u00e8le g\u00e9n\u00e9ratif, afin qu&rsquo;il produise des textes plus coh\u00e9rents et plus proches des attentes de l&rsquo;utilisateur. Un exemple concret serait l&rsquo;ajustement des poids d&rsquo;un r\u00e9seau de neurones pour la g\u00e9n\u00e9ration de texte, permettant ainsi de mieux contr\u00f4ler la pertinence et la cr\u00e9ativit\u00e9 des r\u00e9ponses g\u00e9n\u00e9r\u00e9es.<\/p>\n<h3>Termes associ\u00e9s<\/h3>\n<ul id=\"TermesAssocies\">\n<li><a href=\"https:\/\/happynumeric.com\/lexique-intelligence-artificielle\/?s=Fonction+de+co%C3%BBt\">Fonction de co\u00fbt<\/a><\/li>\n<li><a href=\"https:\/\/happynumeric.com\/lexique-intelligence-artificielle\/?s=Apprentissage+automatique\">Apprentissage automatique<\/a><\/li>\n<li><a href=\"https:\/\/happynumeric.com\/lexique-intelligence-artificielle\/?s=Optimisation\">Optimisation<\/a><\/li>\n<li><a href=\"https:\/\/happynumeric.com\/lexique-intelligence-artificielle\/?s=R%C3%A9seau+de+neurones\">R\u00e9seau de neurones<\/a><\/li>\n<li><a href=\"https:\/\/happynumeric.com\/lexique-intelligence-artificielle\/?s=Prompt+engineering\">Prompt engineering<\/a><\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>L&rsquo;algorithme de descente de gradient est une technique fondamentale en apprentissage automatique, notamment pour l&rsquo;optimisation des mod\u00e8les et le prompt engineering. Qu&rsquo;est-ce que l&rsquo;algorithme de descente de gradient ? C&rsquo;est une m\u00e9thode it\u00e9rative utilis\u00e9e pour trouver le minimum d&rsquo;une fonction, comme la fonction de co\u00fbt d&rsquo;un mod\u00e8le d&rsquo;IA. Comment fonctionne l&rsquo;algorithme de descente de gradient [&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":[3],"tags":[225,44,172,61,12,99],"class_list":["post-848","post","type-post","status-publish","format-standard","hentry","category-a","tag-algorithme-de-descente-de-gradient","tag-apprentissage-automatique","tag-fonction-de-cout","tag-optimisation","tag-prompt-engineering","tag-reseau-de-neurones"],"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":"L&rsquo;algorithme de descente de gradient est une technique fondamentale en apprentissage automatique, notamment pour l&rsquo;optimisation des mod\u00e8les et le prompt engineering. Qu&rsquo;est-ce que l&rsquo;algorithme de descente de gradient ? C&rsquo;est une m\u00e9thode it\u00e9rative utilis\u00e9e pour trouver le minimum d&rsquo;une fonction, comme la fonction de co\u00fbt d&rsquo;un mod\u00e8le d&rsquo;IA. Comment fonctionne l&rsquo;algorithme de descente de gradient\u2026","_links":{"self":[{"href":"https:\/\/happynumeric.com\/lexique-intelligence-artificielle\/wp-json\/wp\/v2\/posts\/848","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=848"}],"version-history":[{"count":1,"href":"https:\/\/happynumeric.com\/lexique-intelligence-artificielle\/wp-json\/wp\/v2\/posts\/848\/revisions"}],"predecessor-version":[{"id":929,"href":"https:\/\/happynumeric.com\/lexique-intelligence-artificielle\/wp-json\/wp\/v2\/posts\/848\/revisions\/929"}],"wp:attachment":[{"href":"https:\/\/happynumeric.com\/lexique-intelligence-artificielle\/wp-json\/wp\/v2\/media?parent=848"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/happynumeric.com\/lexique-intelligence-artificielle\/wp-json\/wp\/v2\/categories?post=848"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/happynumeric.com\/lexique-intelligence-artificielle\/wp-json\/wp\/v2\/tags?post=848"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}