En apprentissage automatique et en prompt engineering, l’overfitting est un ph\u00e9nom\u00e8ne courant qui peut limiter les performances de vos mod\u00e8les. Qu’est-ce que l’overfitting ? C’est lorsqu’un mod\u00e8le apprend \u00ab\u00a0trop bien\u00a0\u00bb les donn\u00e9es d’entra\u00eenement, au point de m\u00e9moriser le bruit et les sp\u00e9cificit\u00e9s au lieu des tendances g\u00e9n\u00e9rales.<\/p>\n
Lorsqu’un mod\u00e8le est overfitt\u00e9, il est excellent pour pr\u00e9dire les donn\u00e9es sur lesquelles il a \u00e9t\u00e9 entra\u00een\u00e9, mais il g\u00e9n\u00e9ralise mal aux nouvelles donn\u00e9es. Imaginez que vous apprenez \u00e0 conduire uniquement sur un circuit ferm\u00e9. Vous ma\u00eetriserez parfaitement ce circuit, mais vous serez probablement d\u00e9sempar\u00e9 face aux impr\u00e9vus de la conduite en ville. De la m\u00eame mani\u00e8re, un mod\u00e8le overfitt\u00e9 est \u00ab\u00a0pi\u00e9g\u00e9\u00a0\u00bb par les donn\u00e9es d’entra\u00eenement et ne peut pas s’adapter \u00e0 des situations nouvelles.<\/p>\n
En prompt engineering, un mod\u00e8le overfitt\u00e9 peut g\u00e9n\u00e9rer des r\u00e9ponses tr\u00e8s proches des exemples d’entra\u00eenement, mais manquer de cr\u00e9ativit\u00e9 et de flexibilit\u00e9 pour r\u00e9pondre \u00e0 des prompts l\u00e9g\u00e8rement diff\u00e9rents. Par exemple, si vous entra\u00eenez un mod\u00e8le \u00e0 \u00e9crire des po\u00e8mes uniquement sur le th\u00e8me de l’amour, il pourrait avoir du mal \u00e0 g\u00e9n\u00e9rer un po\u00e8me sur la nature. L’overfitting limite donc la capacit\u00e9 du mod\u00e8le \u00e0 g\u00e9n\u00e9raliser et \u00e0 \u00eatre r\u00e9ellement utile dans des contextes vari\u00e9s. Il est crucial de l’\u00e9viter pour obtenir des mod\u00e8les performants et robustes.<\/p>\n
En apprentissage automatique et en prompt engineering, l’overfitting est un ph\u00e9nom\u00e8ne courant qui peut limiter les performances de vos mod\u00e8les. Qu’est-ce que l’overfitting ? C’est lorsqu’un mod\u00e8le apprend \u00ab\u00a0trop bien\u00a0\u00bb les donn\u00e9es d’entra\u00eenement, au point de m\u00e9moriser le bruit et les sp\u00e9cificit\u00e9s au lieu des tendances g\u00e9n\u00e9rales. Comment fonctionne l’overfitting ? Lorsqu’un mod\u00e8le est overfitt\u00e9, […]<\/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":[213],"tags":[128,584,583,333],"class_list":["post-1158","post","type-post","status-publish","format-standard","hentry","category-o","tag-generalisation","tag-overfitting","tag-underfitting","tag-validation-croisee"],"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":"En apprentissage automatique et en prompt engineering, l’overfitting est un ph\u00e9nom\u00e8ne courant qui peut limiter les performances de vos mod\u00e8les. Qu’est-ce que l’overfitting ? C’est lorsqu’un mod\u00e8le apprend \u00ab\u00a0trop bien\u00a0\u00bb les donn\u00e9es d’entra\u00eenement, au point de m\u00e9moriser le bruit et les sp\u00e9cificit\u00e9s au lieu des tendances g\u00e9n\u00e9rales. Comment fonctionne l’overfitting ? Lorsqu’un mod\u00e8le est overfitt\u00e9,\u2026","_links":{"self":[{"href":"https:\/\/happynumeric.com\/lexique-intelligence-artificielle\/wp-json\/wp\/v2\/posts\/1158","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=1158"}],"version-history":[{"count":0,"href":"https:\/\/happynumeric.com\/lexique-intelligence-artificielle\/wp-json\/wp\/v2\/posts\/1158\/revisions"}],"wp:attachment":[{"href":"https:\/\/happynumeric.com\/lexique-intelligence-artificielle\/wp-json\/wp\/v2\/media?parent=1158"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/happynumeric.com\/lexique-intelligence-artificielle\/wp-json\/wp\/v2\/categories?post=1158"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/happynumeric.com\/lexique-intelligence-artificielle\/wp-json\/wp\/v2\/tags?post=1158"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}