Le pr\u00e9-entra\u00eenement est une \u00e9tape cruciale dans l’apprentissage automatique, notamment pour les mod\u00e8les de langage comme ceux utilis\u00e9s en prompt engineering. Qu\u2019est-ce que Pr\u00e9-entra\u00eenement (pre-training) ? C’est une phase d’apprentissage initiale o\u00f9 un mod\u00e8le d’IA est expos\u00e9 \u00e0 une grande quantit\u00e9 de donn\u00e9es pour apprendre des repr\u00e9sentations g\u00e9n\u00e9rales.<\/p>\n
Imaginez un apprenti cuisinier. Le pr\u00e9-entra\u00eenement, c’est comme lui apprendre les bases de la cuisine\u00a0: utiliser un couteau, ma\u00eetriser les cuissons, reconna\u00eetre les ingr\u00e9dients. Il ne sait pas encore pr\u00e9parer de plats sp\u00e9cifiques, mais il acquiert des comp\u00e9tences fondamentales. De m\u00eame, un mod\u00e8le de langage en pr\u00e9-entra\u00eenement apprend la grammaire, le vocabulaire et des relations entre les mots gr\u00e2ce \u00e0 d’\u00e9normes quantit\u00e9s de texte. Il apprend, par exemple, que \u00ab\u00a0chat\u00a0\u00bb et \u00ab\u00a0f\u00e9lin\u00a0\u00bb sont li\u00e9s, ou que \u00ab\u00a0le\u00a0\u00bb pr\u00e9c\u00e8de g\u00e9n\u00e9ralement un nom. Ce processus permet au mod\u00e8le de d\u00e9velopper une compr\u00e9hension g\u00e9n\u00e9rale du langage.<\/p>\n
Le pr\u00e9-entra\u00eenement est essentiel car il pose les fondations pour des t\u00e2ches plus sp\u00e9cifiques. Reprenons l’analogie du cuisinier\u00a0: apr\u00e8s avoir appris les bases, il peut se sp\u00e9cialiser en p\u00e2tisserie ou en cuisine italienne. De la m\u00eame mani\u00e8re, un mod\u00e8le pr\u00e9-entra\u00een\u00e9 peut ensuite \u00eatre affin\u00e9 pour des t\u00e2ches comme la traduction, la g\u00e9n\u00e9ration de texte ou la r\u00e9ponse \u00e0 des questions. Sans pr\u00e9-entra\u00eenement, le mod\u00e8le partirait de z\u00e9ro pour chaque t\u00e2che, ce qui serait beaucoup plus long et moins efficace. En prompt engineering, un mod\u00e8le pr\u00e9-entra\u00een\u00e9 comprend mieux les instructions et peut g\u00e9n\u00e9rer des r\u00e9ponses plus pertinentes.<\/p>\n
Le pr\u00e9-entra\u00eenement est une \u00e9tape cruciale dans l’apprentissage automatique, notamment pour les mod\u00e8les de langage comme ceux utilis\u00e9s en prompt engineering. Qu\u2019est-ce que Pr\u00e9-entra\u00eenement (pre-training) ? C’est une phase d’apprentissage initiale o\u00f9 un mod\u00e8le d’IA est expos\u00e9 \u00e0 une grande quantit\u00e9 de donn\u00e9es pour apprendre des repr\u00e9sentations g\u00e9n\u00e9rales. Comment fonctionne Pr\u00e9-entra\u00eenement (pre-training) ? Imaginez un […]<\/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":[71],"tags":[261,15,262,263,470,168],"class_list":["post-852","post","type-post","status-publish","format-standard","hentry","category-p","tag-apprentissage-par-transfert-transfer-learning","tag-apprentissage-profond-deep-learning","tag-modele-de-langage-language-model","tag-pre-entrainement-pre-training","tag-reglage-fin-fine-tuning","tag-traitement-automatique-du-langage-naturel-nlp"],"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":"Le pr\u00e9-entra\u00eenement est une \u00e9tape cruciale dans l’apprentissage automatique, notamment pour les mod\u00e8les de langage comme ceux utilis\u00e9s en prompt engineering. Qu\u2019est-ce que Pr\u00e9-entra\u00eenement (pre-training) ? C’est une phase d’apprentissage initiale o\u00f9 un mod\u00e8le d’IA est expos\u00e9 \u00e0 une grande quantit\u00e9 de donn\u00e9es pour apprendre des repr\u00e9sentations g\u00e9n\u00e9rales. Comment fonctionne Pr\u00e9-entra\u00eenement (pre-training) ? Imaginez un\u2026","_links":{"self":[{"href":"https:\/\/happynumeric.com\/lexique-intelligence-artificielle\/wp-json\/wp\/v2\/posts\/852","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=852"}],"version-history":[{"count":2,"href":"https:\/\/happynumeric.com\/lexique-intelligence-artificielle\/wp-json\/wp\/v2\/posts\/852\/revisions"}],"predecessor-version":[{"id":1118,"href":"https:\/\/happynumeric.com\/lexique-intelligence-artificielle\/wp-json\/wp\/v2\/posts\/852\/revisions\/1118"}],"wp:attachment":[{"href":"https:\/\/happynumeric.com\/lexique-intelligence-artificielle\/wp-json\/wp\/v2\/media?parent=852"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/happynumeric.com\/lexique-intelligence-artificielle\/wp-json\/wp\/v2\/categories?post=852"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/happynumeric.com\/lexique-intelligence-artificielle\/wp-json\/wp\/v2\/tags?post=852"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}