En intelligence artificielle et en prompt engineering, le sous-apprentissage est un ph\u00e9nom\u00e8ne courant qui peut limiter les performances de vos mod\u00e8les. Qu\u2019est-ce que le sous-apprentissage (underfitting) ? C\u2019est lorsque votre mod\u00e8le est trop simple pour capturer la complexit\u00e9 des donn\u00e9es, comme un enfant essayant de r\u00e9soudre une \u00e9quation complexe avec seulement des additions et des soustractions.<\/p>\n
Lorsqu’un mod\u00e8le est en sous-apprentissage, il n’arrive pas \u00e0 apprendre correctement les relations entre les donn\u00e9es d’entr\u00e9e et les donn\u00e9es de sortie. Imaginez que vous essayez d’apprendre \u00e0 un enfant \u00e0 reconna\u00eetre des formes g\u00e9om\u00e9triques complexes uniquement \u00e0 partir de triangles et de carr\u00e9s. Il aura du mal \u00e0 identifier un octogone, par exemple, car son mod\u00e8le mental est trop simpliste. De la m\u00eame mani\u00e8re, un mod\u00e8le en sous-apprentissage ne parvient pas \u00e0 g\u00e9n\u00e9raliser \u00e0 de nouvelles donn\u00e9es et fournit des pr\u00e9dictions impr\u00e9cises, m\u00eame sur les donn\u00e9es d’entra\u00eenement.<\/p>\n
Le sous-apprentissage est un probl\u00e8me crucial car il conduit \u00e0 des mod\u00e8les peu performants et peu fiables. En prompt engineering, un mod\u00e8le sous-entra\u00een\u00e9 peut mal interpr\u00e9ter vos instructions et produire des r\u00e9sultats insatisfaisants, m\u00eame pour des requ\u00eates similaires \u00e0 celles utilis\u00e9es lors de l’entra\u00eenement. Par exemple, si vous entra\u00eenez un mod\u00e8le \u00e0 g\u00e9n\u00e9rer des descriptions de produits, un mod\u00e8le sous-entra\u00een\u00e9 pourrait g\u00e9n\u00e9rer des descriptions g\u00e9n\u00e9riques et peu informatives, m\u00eame pour des produits tr\u00e8s diff\u00e9rents. Il est donc essentiel d’identifier et de corriger le sous-apprentissage pour obtenir des mod\u00e8les efficaces et performants.<\/p>\n
En intelligence artificielle et en prompt engineering, le sous-apprentissage est un ph\u00e9nom\u00e8ne courant qui peut limiter les performances de vos mod\u00e8les. Qu\u2019est-ce que le sous-apprentissage (underfitting) ? C\u2019est lorsque votre mod\u00e8le est trop simple pour capturer la complexit\u00e9 des donn\u00e9es, comme un enfant essayant de r\u00e9soudre une \u00e9quation complexe avec seulement des additions et des […]<\/p>\n","protected":false},"author":1,"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":[94],"tags":[125,128,127,331,334,333],"class_list":["post-864","post","type-post","status-publish","format-standard","hentry","category-s","tag-donnees-dentrainement","tag-generalisation","tag-regularisation","tag-sous-apprentissage-underfitting","tag-surapprentissage-overfitting","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":"bruno.peaumier@gmail.com","author_link":"https:\/\/happynumeric.com\/lexique-intelligence-artificielle\/author\/bruno-peaumiergmail-com\/"},"uagb_comment_info":0,"uagb_excerpt":"En intelligence artificielle et en prompt engineering, le sous-apprentissage est un ph\u00e9nom\u00e8ne courant qui peut limiter les performances de vos mod\u00e8les. Qu\u2019est-ce que le sous-apprentissage (underfitting) ? C\u2019est lorsque votre mod\u00e8le est trop simple pour capturer la complexit\u00e9 des donn\u00e9es, comme un enfant essayant de r\u00e9soudre une \u00e9quation complexe avec seulement des additions et des\u2026","_links":{"self":[{"href":"https:\/\/happynumeric.com\/lexique-intelligence-artificielle\/wp-json\/wp\/v2\/posts\/864","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"}],"author":[{"embeddable":true,"href":"https:\/\/happynumeric.com\/lexique-intelligence-artificielle\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/happynumeric.com\/lexique-intelligence-artificielle\/wp-json\/wp\/v2\/comments?post=864"}],"version-history":[{"count":2,"href":"https:\/\/happynumeric.com\/lexique-intelligence-artificielle\/wp-json\/wp\/v2\/posts\/864\/revisions"}],"predecessor-version":[{"id":1123,"href":"https:\/\/happynumeric.com\/lexique-intelligence-artificielle\/wp-json\/wp\/v2\/posts\/864\/revisions\/1123"}],"wp:attachment":[{"href":"https:\/\/happynumeric.com\/lexique-intelligence-artificielle\/wp-json\/wp\/v2\/media?parent=864"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/happynumeric.com\/lexique-intelligence-artificielle\/wp-json\/wp\/v2\/categories?post=864"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/happynumeric.com\/lexique-intelligence-artificielle\/wp-json\/wp\/v2\/tags?post=864"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}