En intelligence artificielle et en prompt engineering<\/em>, les performances d’un mod\u00e8le d\u00e9pendent de r\u00e9glages pr\u00e9cis. Un hyperparam\u00e8tre<\/strong> est un param\u00e8tre qui contr\u00f4le le processus d’apprentissage d’un mod\u00e8le d’IA. Il n’est pas appris par le mod\u00e8le lui-m\u00eame, mais d\u00e9fini avant l’entra\u00eenement.<\/p>\n Un hyperparam\u00e8tre est une variable externe qui influence comment<\/em> un mod\u00e8le d’IA apprend, et non ce que<\/em> le mod\u00e8le apprend.<\/p>\n Imaginez que vous pr\u00e9parez un g\u00e2teau. Les ingr\u00e9dients sont les donn\u00e9es d’entra\u00eenement, la recette est l’algorithme, et les hyperparam\u00e8tres sont des \u00e9l\u00e9ments comme la temp\u00e9rature du four ou le temps de cuisson. Ces \u00e9l\u00e9ments ne font pas partie du g\u00e2teau lui-m\u00eame, mais ils influencent de mani\u00e8re significative le r\u00e9sultat final. De m\u00eame, les hyperparam\u00e8tres ajustent le processus d’apprentissage d’un mod\u00e8le d’IA, impactant ses performances.<\/p>\n En prompt engineering<\/em>, un hyperparam\u00e8tre peut \u00eatre, par exemple, la \u00ab\u00a0temp\u00e9rature\u00a0\u00bb utilis\u00e9e dans certains mod\u00e8les de g\u00e9n\u00e9ration de texte. Une temp\u00e9rature \u00e9lev\u00e9e favorise des sorties plus cr\u00e9atives et inattendues, tandis qu’une temp\u00e9rature basse produit des textes plus pr\u00e9visibles et coh\u00e9rents. Le choix de la temp\u00e9rature d\u00e9pend du contexte et de l’objectif recherch\u00e9.<\/p>\n Le choix judicieux des hyperparam\u00e8tres est crucial pour optimiser les performances d’un mod\u00e8le d’IA. Des hyperparam\u00e8tres mal ajust\u00e9s peuvent conduire \u00e0 un sous-apprentissage<\/em> (le mod\u00e8le n’apprend pas suffisamment des donn\u00e9es) ou \u00e0 un surapprentissage<\/em> (le mod\u00e8le apprend trop bien les donn\u00e9es d’entra\u00eenement, mais g\u00e9n\u00e9ralise mal aux nouvelles donn\u00e9es). Trouver les bons hyperparam\u00e8tres est souvent un processus it\u00e9ratif d’exp\u00e9rimentation et d’ajustement.<\/p>\n Qu’est-ce qu’un hyperparam\u00e8tre? En intelligence artificielle et en prompt engineering, les performances d’un mod\u00e8le d\u00e9pendent de r\u00e9glages pr\u00e9cis. Un hyperparam\u00e8tre est un param\u00e8tre qui contr\u00f4le le processus d’apprentissage d’un mod\u00e8le d’IA. Il n’est pas appris par le mod\u00e8le lui-m\u00eame, mais d\u00e9fini avant l’entra\u00eenement. Un hyperparam\u00e8tre est une variable externe qui influence comment un mod\u00e8le d’IA […]<\/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":[189],"tags":[44,190,191,52,61,12],"class_list":["post-243","post","type-post","status-publish","format-standard","hentry","category-h","tag-apprentissage-automatique","tag-entrainement","tag-hyperparametre","tag-modele-dia","tag-optimisation","tag-prompt-engineering"],"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":"Qu’est-ce qu’un hyperparam\u00e8tre? En intelligence artificielle et en prompt engineering, les performances d’un mod\u00e8le d\u00e9pendent de r\u00e9glages pr\u00e9cis. Un hyperparam\u00e8tre est un param\u00e8tre qui contr\u00f4le le processus d’apprentissage d’un mod\u00e8le d’IA. Il n’est pas appris par le mod\u00e8le lui-m\u00eame, mais d\u00e9fini avant l’entra\u00eenement. Un hyperparam\u00e8tre est une variable externe qui influence comment un mod\u00e8le d’IA\u2026","_links":{"self":[{"href":"https:\/\/happynumeric.com\/lexique-intelligence-artificielle\/wp-json\/wp\/v2\/posts\/243","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=243"}],"version-history":[{"count":1,"href":"https:\/\/happynumeric.com\/lexique-intelligence-artificielle\/wp-json\/wp\/v2\/posts\/243\/revisions"}],"predecessor-version":[{"id":419,"href":"https:\/\/happynumeric.com\/lexique-intelligence-artificielle\/wp-json\/wp\/v2\/posts\/243\/revisions\/419"}],"wp:attachment":[{"href":"https:\/\/happynumeric.com\/lexique-intelligence-artificielle\/wp-json\/wp\/v2\/media?parent=243"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/happynumeric.com\/lexique-intelligence-artificielle\/wp-json\/wp\/v2\/categories?post=243"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/happynumeric.com\/lexique-intelligence-artificielle\/wp-json\/wp\/v2\/tags?post=243"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}Comment fonctionne un hyperparam\u00e8tre?<\/h3>\n
Pourquoi un hyperparam\u00e8tre est-il important?<\/h3>\n
Exemples d’utilisation d’hyperparam\u00e8tre<\/h3>\n
\n
Termes associ\u00e9s<\/h3>\n
\n