Imaginez une IA apprenant \u00e0 r\u00e9aliser une t\u00e2che complexe. Pour s’am\u00e9liorer, elle doit ajuster ses param\u00e8tres internes, et c’est l\u00e0 que le gradient descent entre en jeu. Qu’est-ce que Gradient descent ? C’est un algorithme d’optimisation it\u00e9ratif utilis\u00e9 pour trouver les meilleurs param\u00e8tres d’un mod\u00e8le en minimisant une fonction de co\u00fbt.<\/p>\n
Gradient descent peut \u00eatre compar\u00e9 \u00e0 la descente d’une montagne dans le brouillard. Vous cherchez le chemin le plus rapide pour arriver en bas, mais vous ne voyez pas le chemin complet. Votre strat\u00e9gie consiste \u00e0 suivre la pente la plus raide \u00e0 chaque pas. En IA, la \u00ab\u00a0montagne\u00a0\u00bb repr\u00e9sente la fonction de co\u00fbt (l’erreur du mod\u00e8le), et la \u00ab\u00a0pente\u00a0\u00bb est le gradient de cette fonction. L’algorithme ajuste les param\u00e8tres du mod\u00e8le \u00e0 chaque it\u00e9ration en suivant la direction oppos\u00e9e du gradient, se rapprochant ainsi du minimum de la fonction de co\u00fbt, et donc de la meilleure performance possible.<\/p>\n
Gradient descent est crucial en IA car il permet d’entra\u00eener efficacement des mod\u00e8les complexes avec un grand nombre de param\u00e8tres. Dans le contexte du prompt engineering, il est utilis\u00e9 pour optimiser les mod\u00e8les de langage, permettant ainsi de g\u00e9n\u00e9rer des r\u00e9ponses plus pertinentes et coh\u00e9rentes. Par exemple, lors de l’entra\u00eenement d’un mod\u00e8le pour la traduction automatique, le gradient descent ajuste les param\u00e8tres du mod\u00e8le afin de minimiser la diff\u00e9rence entre les traductions produites et les traductions de r\u00e9f\u00e9rence. Plus l’erreur est faible, meilleure est la traduction.<\/p>\n
Imaginez une IA apprenant \u00e0 r\u00e9aliser une t\u00e2che complexe. Pour s’am\u00e9liorer, elle doit ajuster ses param\u00e8tres internes, et c’est l\u00e0 que le gradient descent entre en jeu. Qu’est-ce que Gradient descent ? C’est un algorithme d’optimisation it\u00e9ratif utilis\u00e9 pour trouver les meilleurs param\u00e8tres d’un mod\u00e8le en minimisant une fonction de co\u00fbt. Comment fonctionne Gradient descent […]<\/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":[68],"tags":[537,44,172,277,61,140],"class_list":["post-916","post","type-post","status-publish","format-standard","hentry","category-g","tag-algorithme-doptimisation","tag-apprentissage-automatique","tag-fonction-de-cout","tag-gradient-descent","tag-optimisation","tag-retropropagation"],"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":"Imaginez une IA apprenant \u00e0 r\u00e9aliser une t\u00e2che complexe. Pour s’am\u00e9liorer, elle doit ajuster ses param\u00e8tres internes, et c’est l\u00e0 que le gradient descent entre en jeu. Qu’est-ce que Gradient descent ? C’est un algorithme d’optimisation it\u00e9ratif utilis\u00e9 pour trouver les meilleurs param\u00e8tres d’un mod\u00e8le en minimisant une fonction de co\u00fbt. Comment fonctionne Gradient descent\u2026","_links":{"self":[{"href":"https:\/\/happynumeric.com\/lexique-intelligence-artificielle\/wp-json\/wp\/v2\/posts\/916","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=916"}],"version-history":[{"count":1,"href":"https:\/\/happynumeric.com\/lexique-intelligence-artificielle\/wp-json\/wp\/v2\/posts\/916\/revisions"}],"predecessor-version":[{"id":981,"href":"https:\/\/happynumeric.com\/lexique-intelligence-artificielle\/wp-json\/wp\/v2\/posts\/916\/revisions\/981"}],"wp:attachment":[{"href":"https:\/\/happynumeric.com\/lexique-intelligence-artificielle\/wp-json\/wp\/v2\/media?parent=916"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/happynumeric.com\/lexique-intelligence-artificielle\/wp-json\/wp\/v2\/categories?post=916"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/happynumeric.com\/lexique-intelligence-artificielle\/wp-json\/wp\/v2\/tags?post=916"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}