La tokenisation est une \u00e9tape fondamentale du traitement du langage naturel (NLP). Elle permet aux machines de comprendre et de traiter le texte comme le font les humains. Qu’est-ce que la tokenisation ? C’est le processus de d\u00e9coupage d’un texte en unit\u00e9s plus petites, appel\u00e9es tokens.<\/p>\n
Imaginez que vous pr\u00e9parez une salade de fruits. Vous commencez avec des fruits entiers – pommes, oranges, bananes. La tokenisation, c’est comme d\u00e9couper ces fruits en morceaux plus petits et digestes. En NLP, le texte est votre fruit entier et les tokens sont les morceaux.
\nUn token peut \u00eatre un mot, un caract\u00e8re, ou m\u00eame une partie de mot. Diff\u00e9rentes m\u00e9thodes de tokenisation existent, chacune ayant ses avantages et inconv\u00e9nients, et le choix de la m\u00e9thode d\u00e9pend de la t\u00e2che \u00e0 accomplir et de la langue trait\u00e9e. Par exemple, la phrase \u00ab\u00a0J’aime les pommes.\u00a0\u00bb pourrait \u00eatre tokenis\u00e9e en : [\u00ab\u00a0J'\u00a0\u00bb, \u00ab\u00a0aime\u00a0\u00bb, \u00ab\u00a0les\u00a0\u00bb, \u00ab\u00a0pommes\u00a0\u00bb, \u00ab\u00a0.\u00a0\u00bb].<\/p>\n
La tokenisation est cruciale car elle permet aux mod\u00e8les d’IA de manipuler et d’analyser le texte de mani\u00e8re structur\u00e9e. En d\u00e9composant le texte en unit\u00e9s individuelles, les machines peuvent effectuer des op\u00e9rations comme la recherche de mots cl\u00e9s, l’analyse des sentiments, la traduction automatique, et bien plus encore. En prompt engineering, la tokenisation permet de mieux contr\u00f4ler la fa\u00e7on dont l’IA interpr\u00e8te vos instructions, ce qui est essentiel pour obtenir des r\u00e9sultats pr\u00e9cis et pertinents. Sans tokenisation, l’IA aurait du mal \u00e0 comprendre le sens et la structure du texte.<\/p>\n
La tokenisation est une \u00e9tape fondamentale du traitement du langage naturel (NLP). Elle permet aux machines de comprendre et de traiter le texte comme le font les humains. Qu’est-ce que la tokenisation ? C’est le processus de d\u00e9coupage d’un texte en unit\u00e9s plus petites, appel\u00e9es tokens. Comment fonctionne la tokenisation ? Imaginez que vous pr\u00e9parez […]<\/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":[30],"tags":[341,16,70,12,249,53],"class_list":["post-326","post","type-post","status-publish","format-standard","hentry","category-t","tag-analyse-syntaxique","tag-apprentissage-automatique-machine-learning","tag-modeles-de-langage","tag-prompt-engineering","tag-tokenisation","tag-traitement-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":"","author_link":"https:\/\/happynumeric.com\/lexique-intelligence-artificielle\/author\/"},"uagb_comment_info":0,"uagb_excerpt":"La tokenisation est une \u00e9tape fondamentale du traitement du langage naturel (NLP). Elle permet aux machines de comprendre et de traiter le texte comme le font les humains. Qu’est-ce que la tokenisation ? C’est le processus de d\u00e9coupage d’un texte en unit\u00e9s plus petites, appel\u00e9es tokens. Comment fonctionne la tokenisation ? Imaginez que vous pr\u00e9parez\u2026","_links":{"self":[{"href":"https:\/\/happynumeric.com\/lexique-intelligence-artificielle\/wp-json\/wp\/v2\/posts\/326","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=326"}],"version-history":[{"count":2,"href":"https:\/\/happynumeric.com\/lexique-intelligence-artificielle\/wp-json\/wp\/v2\/posts\/326\/revisions"}],"predecessor-version":[{"id":684,"href":"https:\/\/happynumeric.com\/lexique-intelligence-artificielle\/wp-json\/wp\/v2\/posts\/326\/revisions\/684"}],"wp:attachment":[{"href":"https:\/\/happynumeric.com\/lexique-intelligence-artificielle\/wp-json\/wp\/v2\/media?parent=326"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/happynumeric.com\/lexique-intelligence-artificielle\/wp-json\/wp\/v2\/categories?post=326"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/happynumeric.com\/lexique-intelligence-artificielle\/wp-json\/wp\/v2\/tags?post=326"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}