{"id":184,"date":"2025-05-02T10:47:21","date_gmt":"2025-05-02T14:47:21","guid":{"rendered":"https:\/\/businessphysics.ai\/?p=184"},"modified":"2025-05-02T10:47:23","modified_gmt":"2025-05-02T14:47:23","slug":"context-windows-tokens-in-ai-a-simple-explanation","status":"publish","type":"post","link":"https:\/\/businessphysics.ai\/fr\/context-windows-tokens-in-ai-a-simple-explanation\/","title":{"rendered":"Fen\u00eatres contextuelles et jetons dans l'IA : une explication simple"},"content":{"rendered":"<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"576\" src=\"https:\/\/businessphysics.ai\/wp-content\/uploads\/2025\/05\/tokens-1024x576.jpeg\" alt=\"\" class=\"wp-image-185\" srcset=\"https:\/\/businessphysics.ai\/wp-content\/uploads\/2025\/05\/tokens-1024x576.jpeg 1024w, https:\/\/businessphysics.ai\/wp-content\/uploads\/2025\/05\/tokens-300x169.jpeg 300w, https:\/\/businessphysics.ai\/wp-content\/uploads\/2025\/05\/tokens-768x432.jpeg 768w, https:\/\/businessphysics.ai\/wp-content\/uploads\/2025\/05\/tokens-1536x864.jpeg 1536w, https:\/\/businessphysics.ai\/wp-content\/uploads\/2025\/05\/tokens-2048x1152.jpeg 2048w, https:\/\/businessphysics.ai\/wp-content\/uploads\/2025\/05\/tokens-18x10.jpeg 18w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n\n\n\n<p><strong>Fen\u00eatres contextuelles<\/strong> et <strong>jetons<\/strong> sont deux concepts fondamentaux de l'IA, en particulier des grands mod\u00e8les de langage (LLM). La compr\u00e9hension de ces concepts permettra de mieux comprendre pourquoi les mod\u00e8les d'IA semblent \"oublier\" certaines parties de la conversation une fois qu'ils sont suffisamment d\u00e9velopp\u00e9s et pourquoi des messages complexes peuvent \u00eatre mal interpr\u00e9t\u00e9s par le mod\u00e8le.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Qu'est-ce qu'un jeton ?<\/h2>\n\n\n\n<p>En IA, un jeton est un <strong>unit\u00e9 de donn\u00e9es<\/strong> qui peut repr\u00e9senter un caract\u00e8re, un mot ou une phrase. Il s'agit en quelque sorte d'un bloc de construction que les mod\u00e8les utilisent pour cr\u00e9er leurs r\u00e9ponses. En g\u00e9n\u00e9ral, en anglais, chaque jeton \u00e9quivaut \u00e0 4 caract\u00e8res, mais ce n'est pas une r\u00e8gle. D'autres langues ont une \u00e9quivalence de tokenisation diff\u00e9rente et cela peut \u00e9galement d\u00e9pendre des syst\u00e8mes d'intelligence artificielle eux-m\u00eames.<\/p>\n\n\n\n<p><strong>Exemple de jetons :<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Mots complets (\"maison\", \"chat\", \"merveilleux\")<\/li>\n\n\n\n<li>Parties de mots (\"un-\" \"expect-\" \"-ed\")<\/li>\n\n\n\n<li>Caract\u00e8res individuels (en particulier pour la ponctuation comme \".\" ou \" ?\")<\/li>\n\n\n\n<li>Espaces entre les mots<\/li>\n<\/ul>\n\n\n\n<p>Par exemple, la phrase \"J'adore apprendre sur l'IA !\" peut \u00eatre d\u00e9compos\u00e9e en jetons comme suit :<\/p>\n\n\n\n<p>\"I\"<br>\"Amour\"<br>\"Apprentissage\"<br>\" \u00e0 propos \"<br>\" AI\"<br>\u201c !\u201d<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Pourquoi les jetons sont-ils importants ?<\/h3>\n\n\n\n<p>Les jetons permettent aux syst\u00e8mes d'IA de traiter le langage plus efficacement. Ils n'essaient pas de comprendre tous les mots que vous pouvez saisir, mais travaillent avec un vocabulaire limit\u00e9 de jetons. Cela rend leur t\u00e2che beaucoup plus facile \u00e0 g\u00e9rer.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" style=\"margin-top:var(--wp--preset--spacing--30);margin-bottom:var(--wp--preset--spacing--30)\">Qu'est-ce qu'une fen\u00eatre contextuelle ?<\/h2>\n\n\n\n<p>Les fen\u00eatres contextuelles sont la limite dans laquelle certains mod\u00e8les garderont en m\u00e9moire les informations que vous fournissez au cours d'une conversation, pour ensuite y r\u00e9pondre.<\/p>\n\n\n\n<p>La fen\u00eatre contextuelle repr\u00e9sente la quantit\u00e9 de texte (mesur\u00e9e en tokens) qu'un mod\u00e8le d'IA peut \"voir\" et prendre en compte en m\u00eame temps lorsqu'il g\u00e9n\u00e8re une r\u00e9ponse. Elle comprend<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Votre question ou demande actuelle<\/li>\n\n\n\n<li>Messages pr\u00e9c\u00e9dents dans la conversation<\/li>\n\n\n\n<li>Tous les documents ou informations que vous avez partag\u00e9s<\/li>\n\n\n\n<li>R\u00e9ponses ant\u00e9rieures de l'IA<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\">Pourquoi les fen\u00eatres contextuelles sont-elles importantes ?<\/h3>\n\n\n\n<p>Les fen\u00eatres contextuelles sont importantes dans le sens o\u00f9 elles ont un impact sur la qualit\u00e9 de la r\u00e9ponse. Supposons qu'une IA dispose d'une fen\u00eatre contextuelle de 8 000 tokens (environ 6 000 mots), elle ne peut prendre en compte que cette quantit\u00e9 de contexte pour g\u00e9n\u00e9rer la r\u00e9ponse. Tout ce qui se trouve en dehors de cette fen\u00eatre de contexte sera effectivement invisible pour l'IA.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Quelques avantages pratiques de la compr\u00e9hension de ces concepts :<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Si vous analysez une longue <strong>document<\/strong>Il se peut que vous deviez le r\u00e9sumer dans la fen\u00eatre contextuelle, le diviser en sections plus petites pour ensuite les analyser et vous concentrer sur les parties importantes.<\/li>\n\n\n\n<li>Pour <strong>\u00e9criture cr\u00e9ative<\/strong>Par exemple, si vous travaillez sur une histoire, vous voudrez peut-\u00eatre suivre l'utilisation de la fen\u00eatre de contexte, rafra\u00eechir la conversation de temps en temps et r\u00e9sumer les chapitres pr\u00e9c\u00e9dents pour assurer la continuit\u00e9 tout en \u00e9conomisant des jetons.<\/li>\n\n\n\n<li>Pour <strong>codification<\/strong> vous devez vous assurer que vous ne fournissez que le contexte n\u00e9cessaire pour atteindre votre objectif. En tant que personne ayant programm\u00e9 avec l'IA, il est facile de devenir paresseux et de fournir trop ou trop peu d'informations sur un probl\u00e8me que vous essayez de r\u00e9soudre. Cependant, cela ne donne pas les meilleurs r\u00e9sultats et peut m\u00eame vous g\u00eaner plus qu'autre chose.<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\" style=\"margin-top:var(--wp--preset--spacing--30);margin-bottom:0\">Strat\u00e9gies pour travailler avec des fen\u00eatres contextuelles<\/h2>\n\n\n\n<ol class=\"wp-block-list\">\n<li><strong>Soyez concis :<\/strong> Communiquer clairement mais efficacement pour \u00e9conomiser des jetons.<\/li>\n\n\n\n<li><strong>Hi\u00e9rarchiser les informations :<\/strong> Commencez par les d\u00e9tails les plus importants.<\/li>\n\n\n\n<li><strong>R\u00e9sumez lorsque c'est possible :<\/strong> Au lieu de coller un document entier, envisagez de partager un r\u00e9sum\u00e9 des points cl\u00e9s.<\/li>\n\n\n\n<li><strong>Nettoyage :<\/strong> Lors de longues conversations, envisagez de repartir \u00e0 z\u00e9ro lorsque le contexte est encombr\u00e9 d'informations non pertinentes.<\/li>\n\n\n\n<li><strong>Structurez vos questions :<\/strong> Des questions pr\u00e9cises et bien organis\u00e9es aident l'IA \u00e0 comprendre vos besoins sans n\u00e9cessiter d'\u00e9changes suppl\u00e9mentaires.<\/li>\n<\/ol>\n\n\n\n<h2 class=\"wp-block-heading\" style=\"margin-top:var(--wp--preset--spacing--30)\">Conclusion<\/h2>\n\n\n\n<p>Les jetons et les fen\u00eatres contextuelles sont des concepts importants \u00e0 apprendre lorsque l'on essaie de travailler avec l'IA. Leur compr\u00e9hension vous aidera \u00e0 mieux communiquer avec les mod\u00e8les d'IA, en exploitant au mieux leur potentiel et en respectant leurs contraintes. Au fur et \u00e0 mesure que la technologie de l'IA progresse, les fen\u00eatres contextuelles s'agrandissent et le traitement des jetons devient plus efficace, mais ces concepts restent au c\u0153ur de la fa\u00e7on dont nous interagissons avec l'IA linguistique.<\/p>\n\n\n\n<div class=\"wp-block-group has-global-padding is-layout-constrained wp-block-group-is-layout-constrained\">\n<h3 class=\"wp-block-heading\" style=\"margin-top:var(--wp--preset--spacing--40)\">Ressources :<\/h3>\n\n\n\n<p><strong>Jetons :<\/strong><\/p>\n\n\n\n<p>DataCamp : <a href=\"https:\/\/www.datacamp.com\/blog\/what-is-tokenization\">https:\/\/www.datacamp.com\/blog\/what-is-tokenization<\/a><br>Microsoft : <a href=\"https:\/\/learn.microsoft.com\/en-us\/dotnet\/ai\/conceptual\/understanding-tokens\">https:\/\/learn.microsoft.com\/en-us\/dotnet\/ai\/conceptual\/understanding-tokens<\/a><br>Lighton : <a href=\"https:\/\/www.lighton.ai\/lighton-blogs\/the-magic-of-tokens-in-generative-ai-a-deep-dive\">https:\/\/www.lighton.ai\/lighton-blogs\/the-magic-of-tokens-in-generative-ai-a-deep-dive<\/a><br><br><strong>Fen\u00eatres contextuelles :<\/strong><br><br>IBM : <a href=\"https:\/\/www.ibm.com\/think\/topics\/context-window\">https:\/\/www.ibm.com\/think\/topics\/context-window<\/a><br>McKinsey : <a href=\"https:\/\/www.mckinsey.com\/featured-insights\/mckinsey-explainers\/what-is-a-context-window\">https:\/\/www.mckinsey.com\/featured-insights\/mckinsey-explainers\/what-is-a-context-window<\/a><br>Nebius : <a href=\"https:\/\/nebius.com\/blog\/posts\/context-window-in-ai\">https:\/\/nebius.com\/blog\/posts\/context-window-in-ai<\/a><\/p>\n<\/div>","protected":false},"excerpt":{"rendered":"<p>Context windows and tokens are two foundational concepts in AI, especially in Large Language Models (LLMs). Understanding these concepts will make more sense of why AI models seem to \u201cforget\u201d parts of the conversation once developed enough as well as why complex prompts can be misinterpreted by the model. What are Tokens ? In AI, [&hellip;]<\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[9],"tags":[47,46,45],"class_list":["post-184","post","type-post","status-publish","format-standard","hentry","category-ai-article","tag-ai","tag-context-windows","tag-tokens"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.4 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Context Windows &amp; Tokens in AI: A Simple Explanation - Business Physics AI Lab<\/title>\n<meta name=\"description\" content=\"What are Context Windows in AI? What exactly are tokens in AI ? 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