{"id":6648,"date":"2026-04-20T14:00:28","date_gmt":"2026-04-20T18:00:28","guid":{"rendered":"https:\/\/www.kuriosit.ca\/?p=6648"},"modified":"2026-04-21T09:15:00","modified_gmt":"2026-04-21T13:15:00","slug":"how-generative-ai-works","status":"publish","type":"post","link":"https:\/\/www.kuriosit.ca\/en\/comment-fonctionnent-ia-generatives\/","title":{"rendered":"How Do Generative AI Models Really Work?"},"content":{"rendered":"<style>.wp-block-kadence-column.kb-section-dir-horizontal > .kt-inside-inner-col > .kt-info-box6648_2bca2b-d5 .kt-blocks-info-box-link-wrap{max-width:unset;}.kt-info-box6648_2bca2b-d5 .kt-blocks-info-box-link-wrap{border-top:0px solid var(u002du002dglobal-palette7, #eeeeee);border-right:0px solid var(u002du002dglobal-palette7, #eeeeee);border-bottom:0px solid var(u002du002dglobal-palette7, #eeeeee);border-left:0px solid var(u002du002dglobal-palette7, #eeeeee);border-top-left-radius:0px;background:#ffffff;padding-top:0px;padding-right:0px;padding-bottom:0px;padding-left:0px;}.kt-info-box6648_2bca2b-d5.wp-block-kadence-infobox{max-width:100%;}.kt-info-box6648_2bca2b-d5 .kadence-info-box-image-inner-intrisic-container{max-width:100px;}.kt-info-box6648_2bca2b-d5 .kadence-info-box-image-inner-intrisic-container .kadence-info-box-image-intrisic{padding-bottom:100%;width:297px;height:0px;max-width:100%;}.kt-info-box6648_2bca2b-d5 .kadence-info-box-icon-container .kt-info-svg-icon, .kt-info-box6648_2bca2b-d5 .kt-info-svg-icon-flip, .kt-info-box6648_2bca2b-d5 .kt-blocks-info-box-number{font-size:50px;}.kt-info-box6648_2bca2b-d5 .kt-blocks-info-box-media{border-radius:200px;overflow:hidden;border-top-width:0px;border-right-width:0px;border-bottom-width:0px;border-left-width:0px;padding-top:20px;padding-right:20px;padding-bottom:20px;padding-left:20px;margin-top:0px;margin-right:10px;margin-bottom:0px;margin-left:0px;}.kt-info-box6648_2bca2b-d5 .kt-blocks-info-box-media .kadence-info-box-image-intrisic img{border-radius:200px;}.kt-info-box6648_2bca2b-d5 .kt-infobox-textcontent h2.kt-blocks-info-box-title{padding-top:0px;padding-right:0px;padding-bottom:0px;padding-left:0px;margin-top:5px;margin-right:0px;margin-bottom:10px;margin-left:0px;}.kt-info-box6648_2bca2b-d5 .kt-infobox-textcontent .kt-blocks-info-box-text{color:var(--global-palette3, #1A202C);}.wp-block-kadence-infobox.kt-info-box6648_2bca2b-d5 .kt-blocks-info-box-text{font-size:18px;font-weight:400;}.kt-info-box6648_2bca2b-d5 .kt-blocks-info-box-link-wrap:hover .kt-blocks-info-box-text{color:var(--global-palette1, #3182CE);}.kt-info-box6648_2bca2b-d5 .kt-blocks-info-box-learnmore{background:transparent;border-width:0px 0px 0px 0px;padding-top:4px;padding-right:8px;padding-bottom:4px;padding-left:8px;margin-top:10px;margin-right:0px;margin-bottom:10px;margin-left:0px;}@media all and (max-width: 1024px){.kt-info-box6648_2bca2b-d5 .kt-blocks-info-box-link-wrap{border-top:0px solid var(u002du002dglobal-palette7, #eeeeee);border-right:0px solid var(u002du002dglobal-palette7, #eeeeee);border-bottom:0px solid var(u002du002dglobal-palette7, #eeeeee);border-left:0px solid var(u002du002dglobal-palette7, #eeeeee);}}@media all and (max-width: 767px){.kt-info-box6648_2bca2b-d5 .kt-blocks-info-box-link-wrap{border-top:0px solid var(u002du002dglobal-palette7, #eeeeee);border-right:0px solid var(u002du002dglobal-palette7, #eeeeee);border-bottom:0px solid var(u002du002dglobal-palette7, #eeeeee);border-left:0px solid var(u002du002dglobal-palette7, #eeeeee);}}<\/style>\n<div class=\"wp-block-kadence-infobox kt-info-box6648_2bca2b-d5\"><a class=\"kt-blocks-info-box-link-wrap info-box-link kt-blocks-info-box-media-align-left kt-info-halign-left\" target=\"_blank\" rel=\"noopener noreferrer\" href=\"https:\/\/www.linkedin.com\/in\/simon-pierre-morin-43849bb2\/\"><div class=\"kt-blocks-info-box-media-container\"><div class=\"kt-blocks-info-box-media kt-info-media-animate-none\"><div class=\"kadence-info-box-image-inner-intrisic-container\"><div class=\"kadence-info-box-image-intrisic kt-info-animate-none\"><div class=\"kadence-info-box-image-inner-intrisic\"><img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/www.kuriosit.ca\/wp-content\/uploads\/2024\/04\/Simon-Pierre-Morin.jpg\" alt=\"\" width=\"297\" height=\"297\" class=\"kt-info-box-image wp-image-4589\" title=\"\"><\/div><\/div><\/div><\/div><\/div><div class=\"kt-infobox-textcontent\"><p class=\"kt-blocks-info-box-text\">Par Simon-Pierre Morin<\/p><\/div><\/a><\/div>\n\n\n<style>.wp-block-kadence-advancedheading.kt-adv-heading6648_7a51d2-5e, .wp-block-kadence-advancedheading.kt-adv-heading6648_7a51d2-5e[data-kb-block=\"kb-adv-heading6648_7a51d2-5e\"]{font-size:var(--global-kb-font-size-sm, 0.9rem);font-style:normal;text-transform:none;}.wp-block-kadence-advancedheading.kt-adv-heading6648_7a51d2-5e mark.kt-highlight, .wp-block-kadence-advancedheading.kt-adv-heading6648_7a51d2-5e[data-kb-block=\"kb-adv-heading6648_7a51d2-5e\"] mark.kt-highlight{font-style:normal;color:#f76a0c;-webkit-box-decoration-break:clone;box-decoration-break:clone;padding-top:0px;padding-right:0px;padding-bottom:0px;padding-left:0px;}.wp-block-kadence-advancedheading.kt-adv-heading6648_7a51d2-5e img.kb-inline-image, .wp-block-kadence-advancedheading.kt-adv-heading6648_7a51d2-5e[data-kb-block=\"kb-adv-heading6648_7a51d2-5e\"] img.kb-inline-image{width:150px;vertical-align:baseline;}<\/style>\n<p class=\"kt-adv-heading6648_7a51d2-5e wp-block-kadence-advancedheading\" data-kb-block=\"kb-adv-heading6648_7a51d2-5e\"><em>Ce texte a \u00e9t\u00e9 \u00e9crit par un humain assist\u00e9 par une IAgen pour uniformiser le ton et la graphie du contenu. Les informations ont toutes \u00e9t\u00e9 valid\u00e9es par des humains experts dans le domaine. L\u2019image d\u2019ent\u00eate a \u00e9t\u00e9 g\u00e9n\u00e9r\u00e9e par une IAgen \u00e0 partir d\u2019un prompt de l\u2019auteur.<\/em><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Nous avons vu dans l\u2019article pr\u00e9c\u00e9dent qu\u2019il existe plusieurs mod\u00e8les d\u2019IAgen.<br><br>Il faut comprendre que le principe g\u00e9n\u00e9ral reste le m\u00eame, peu importe le mod\u00e8le. M\u00eame si g\u00e9n\u00e9rer du texte (bas\u00e9 sur un LLM) n\u2019est pas la m\u00eame op\u00e9ration que g\u00e9n\u00e9rer une image, un son, ou une vid\u00e9o, le principe de base reste identique. Sachez cependant que m\u00eame si certains outils permettent de g\u00e9n\u00e9rer des images, des podcasts, des mindmap, des examens blancs, du texte, et bien d\u2019autres encore, il faut comprendre que derri\u00e8re, ce sont plusieurs outils diff\u00e9rents qui sont \u00e0 l\u2019\u0153uvre et regroup\u00e9s de mani\u00e8re transparente pour l\u2019utilisateur.<\/p>\n\n\n<style>.wp-block-kadence-advancedheading.kt-adv-heading6648_58241d-cc, .wp-block-kadence-advancedheading.kt-adv-heading6648_58241d-cc[data-kb-block=\"kb-adv-heading6648_58241d-cc\"]{padding-bottom:0px;margin-top:var(--global-kb-spacing-lg, 3rem);font-size:var(--global-kb-font-size-md, 1.25rem);font-style:normal;}.wp-block-kadence-advancedheading.kt-adv-heading6648_58241d-cc mark.kt-highlight, .wp-block-kadence-advancedheading.kt-adv-heading6648_58241d-cc[data-kb-block=\"kb-adv-heading6648_58241d-cc\"] mark.kt-highlight{font-style:normal;color:#f76a0c;-webkit-box-decoration-break:clone;box-decoration-break:clone;padding-top:0px;padding-right:0px;padding-bottom:0px;padding-left:0px;}.wp-block-kadence-advancedheading.kt-adv-heading6648_58241d-cc img.kb-inline-image, .wp-block-kadence-advancedheading.kt-adv-heading6648_58241d-cc[data-kb-block=\"kb-adv-heading6648_58241d-cc\"] img.kb-inline-image{width:150px;vertical-align:baseline;}<\/style>\n<h2 class=\"kt-adv-heading6648_58241d-cc wp-block-kadence-advancedheading\" data-kb-block=\"kb-adv-heading6648_58241d-cc\"><strong>Quelle est la taille d\u2019un mod\u00e8le IA g\u00e9n\u00e9ratif?<\/strong><\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Bien que la taille et la densit\u00e9 des r\u00e9seaux de neurones utilis\u00e9s peuvent varier, l\u2019ordre de grandeur reste similaire, soit plusieurs centaines de milliards de param\u00e8tres transform\u00e9s en vecteurs de dimension de l\u2019ordre de dizaines de milliers d\u2019\u00e9l\u00e9ments. Ces vecteurs passent ensuite au travers de plus d\u2019une centaine de couches de l\u2019ordre de dizaines de milliers de neurones chacun pour un total de l\u2019ordre de plusieurs milliards de neurones artificiels. (Ces donn\u00e9es sont bas\u00e9es sur les mod\u00e8les open source de Llama3.1 405B et DeepSeek-V3.)<br><br>En bref, il s\u2019agit d\u2019un calcul d\u00e9mentiel et gigantesque \u00e0 l\u2019\u00e9chelle humaine.<br><br>De nos jours, les mod\u00e8les ne sont plus calcul\u00e9s en fonction de la taille et de la densit\u00e9, mais plut\u00f4t en termes de param\u00e8tres du mod\u00e8le. Ainsi, Llama3.1 405B signifie Llama version 3.1, 405 milliards de param\u00e8tres, et Gemma4 2B signifie Gemma version 4, 2 milliards de param\u00e8tres. \u00c0 titre d\u2019information, au moment d\u2019\u00e9crire cet article, le plus petit mod\u00e8le (Tiny-LLM) est un mod\u00e8le 10M (10 millions de param\u00e8tres) et le plus gros est DeepSeek-V3 671B (671 milliards de param\u00e8tres). Il y a toutefois des annonces qui ont \u00e9t\u00e9 faites de mod\u00e8les \u00e0 venir de type MoE dont la taille estim\u00e9e se situerait dans l\u2019ordre de 1.5T \u00e0 2T (soit environ 1.5 \u00e0 2 billions de param\u00e8tres). Le nombre exact est un secret professionnel et n\u2019a pas \u00e9t\u00e9 publi\u00e9 publiquement, mais consid\u00e9rant la taille de DeepSeek, cela semble tr\u00e8s plausible<\/p>\n\n\n<style>.wp-block-kadence-advancedheading.kt-adv-heading6648_f33bd4-17, .wp-block-kadence-advancedheading.kt-adv-heading6648_f33bd4-17[data-kb-block=\"kb-adv-heading6648_f33bd4-17\"]{padding-bottom:0px;margin-top:var(--global-kb-spacing-lg, 3rem);font-size:var(--global-kb-font-size-md, 1.25rem);font-style:normal;}.wp-block-kadence-advancedheading.kt-adv-heading6648_f33bd4-17 mark.kt-highlight, .wp-block-kadence-advancedheading.kt-adv-heading6648_f33bd4-17[data-kb-block=\"kb-adv-heading6648_f33bd4-17\"] mark.kt-highlight{font-style:normal;color:#f76a0c;-webkit-box-decoration-break:clone;box-decoration-break:clone;padding-top:0px;padding-right:0px;padding-bottom:0px;padding-left:0px;}.wp-block-kadence-advancedheading.kt-adv-heading6648_f33bd4-17 img.kb-inline-image, .wp-block-kadence-advancedheading.kt-adv-heading6648_f33bd4-17[data-kb-block=\"kb-adv-heading6648_f33bd4-17\"] img.kb-inline-image{width:150px;vertical-align:baseline;}<\/style>\n<h2 class=\"kt-adv-heading6648_f33bd4-17 wp-block-kadence-advancedheading\" data-kb-block=\"kb-adv-heading6648_f33bd4-17\"><strong>Donc comment \u00e7a fonctionne?<\/strong><\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Une IA doit d\u2019abord interpr\u00e9ter la demande de l\u2019utilisateur. La technique pr\u00e9cise pour y arriver change d\u2019une IA \u00e0 une autre, mais le principe reste de prendre ce qui a \u00e9t\u00e9 saisi par l\u2019utilisateur, le transformer en jetons num\u00e9riques utilisables par la machine, et en d\u00e9duire pour le transformer en vecteur que la machine place dans son espace de domaine pour lui donner un sens. Typiquement, le \u00ab&nbsp;tokenizer&nbsp;\u00bb est un composant sp\u00e9cialis\u00e9 (parfois un RNA, parfois un algorithme BPE ou autre), qui d\u00e9cortique l\u2019entr\u00e9e de l\u2019utilisateur, le vectorise, fait des transformations math\u00e9matiques sur le vecteur pour mettre les mots en relation entre eux et se construire un vecteur r\u00e9sultant qui lui repr\u00e9sente \u00e0 la fois le message, l\u2019intention et le sens.<\/p>\n\n\n<style>.kb-image6648_99030a-58 .kb-image-has-overlay:after{opacity:0.3;}<\/style>\n<div class=\"wp-block-kadence-image kb-image6648_99030a-58\"><figure class=\"aligncenter size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"864\" height=\"688\" src=\"https:\/\/www.kuriosit.ca\/wp-content\/uploads\/2026\/04\/tokenizer-ia.png\" alt=\"\" class=\"kb-img wp-image-6734\" title=\"\" srcset=\"https:\/\/www.kuriosit.ca\/wp-content\/uploads\/2026\/04\/tokenizer-ia.png 864w, https:\/\/www.kuriosit.ca\/wp-content\/uploads\/2026\/04\/tokenizer-ia-768x612.png 768w, https:\/\/www.kuriosit.ca\/wp-content\/uploads\/2026\/04\/tokenizer-ia-15x12.png 15w\" sizes=\"auto, (max-width: 864px) 100vw, 864px\" \/><\/figure><\/div>\n\n\n<style>.wp-block-kadence-advancedheading.kt-adv-heading6648_239097-23, .wp-block-kadence-advancedheading.kt-adv-heading6648_239097-23[data-kb-block=\"kb-adv-heading6648_239097-23\"]{margin-top:0px;margin-bottom:var(--global-kb-spacing-md, 2rem);text-align:center;font-size:var(--global-kb-font-size-sm, 0.9rem);font-style:normal;}.wp-block-kadence-advancedheading.kt-adv-heading6648_239097-23 mark.kt-highlight, .wp-block-kadence-advancedheading.kt-adv-heading6648_239097-23[data-kb-block=\"kb-adv-heading6648_239097-23\"] mark.kt-highlight{font-style:normal;color:#f76a0c;-webkit-box-decoration-break:clone;box-decoration-break:clone;padding-top:0px;padding-right:0px;padding-bottom:0px;padding-left:0px;}.wp-block-kadence-advancedheading.kt-adv-heading6648_239097-23 img.kb-inline-image, .wp-block-kadence-advancedheading.kt-adv-heading6648_239097-23[data-kb-block=\"kb-adv-heading6648_239097-23\"] img.kb-inline-image{width:150px;vertical-align:baseline;}<\/style>\n<div class=\"kt-adv-heading6648_239097-23 wp-block-kadence-advancedheading\" data-kb-block=\"kb-adv-heading6648_239097-23\">Source | <a href=\"https:\/\/scillidan.github.io\/transformer-explainer\/\" target=\"_blank\" rel=\"noopener\">Transformer Explainer: LLM Transformer Model Visually Explained<\/a><\/div>\n\n\n\n<p class=\"wp-block-paragraph\">Il passe par la suite par une s\u00e9rie de transformateurs qui tente, par op\u00e9rations matricielles, de d\u00e9cortiquer le message bas\u00e9 sur diff\u00e9rents param\u00e8tres de compr\u00e9hension (sens, intention, domaine, caract\u00e9risation, temporisation, profondeur, ton, demande, recherche, etc.).<\/p>\n\n\n<style>.kb-image6648_86104d-6b .kb-image-has-overlay:after{opacity:0.3;}<\/style>\n<div class=\"wp-block-kadence-image kb-image6648_86104d-6b\"><figure class=\"aligncenter size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"576\" height=\"185\" src=\"https:\/\/www.kuriosit.ca\/wp-content\/uploads\/2026\/04\/serie-transformateurs-ia.png\" alt=\"\" class=\"kb-img wp-image-6736\" title=\"\" srcset=\"https:\/\/www.kuriosit.ca\/wp-content\/uploads\/2026\/04\/serie-transformateurs-ia.png 576w, https:\/\/www.kuriosit.ca\/wp-content\/uploads\/2026\/04\/serie-transformateurs-ia-18x6.png 18w\" sizes=\"auto, (max-width: 576px) 100vw, 576px\" \/><\/figure><\/div>\n\n\n<style>.wp-block-kadence-advancedheading.kt-adv-heading6648_c2b9ad-20, .wp-block-kadence-advancedheading.kt-adv-heading6648_c2b9ad-20[data-kb-block=\"kb-adv-heading6648_c2b9ad-20\"]{margin-top:0px;margin-bottom:var(--global-kb-spacing-md, 2rem);text-align:center;font-size:var(--global-kb-font-size-sm, 0.9rem);font-style:normal;}.wp-block-kadence-advancedheading.kt-adv-heading6648_c2b9ad-20 mark.kt-highlight, .wp-block-kadence-advancedheading.kt-adv-heading6648_c2b9ad-20[data-kb-block=\"kb-adv-heading6648_c2b9ad-20\"] mark.kt-highlight{font-style:normal;color:#f76a0c;-webkit-box-decoration-break:clone;box-decoration-break:clone;padding-top:0px;padding-right:0px;padding-bottom:0px;padding-left:0px;}.wp-block-kadence-advancedheading.kt-adv-heading6648_c2b9ad-20 img.kb-inline-image, .wp-block-kadence-advancedheading.kt-adv-heading6648_c2b9ad-20[data-kb-block=\"kb-adv-heading6648_c2b9ad-20\"] img.kb-inline-image{width:150px;vertical-align:baseline;}<\/style>\n<div class=\"kt-adv-heading6648_c2b9ad-20 wp-block-kadence-advancedheading\" data-kb-block=\"kb-adv-heading6648_c2b9ad-20\">Source | <a href=\"https:\/\/scillidan.github.io\/transformer-explainer\/\" target=\"_blank\" rel=\"noopener\">Transformer Explainer: LLM Transformer Model Visually Explained<\/a><\/div>\n\n\n\n<p class=\"wp-block-paragraph\">Par la suite, selon son type, il construira sa sortie en passant le vecteur de l\u2019utilisateur et sa g\u00e9n\u00e9ration combin\u00e9e. Dans le cas d\u2019une image, il partira d\u2019un ensemble de pixels al\u00e9atoires g\u00e9n\u00e9r\u00e9 par le \u00ab&nbsp;seed&nbsp;\u00bb et modifiera ces pixels en d\u00e9duisant l\u2019arrangement le plus probable pour correspondre \u00e0 une banque d\u2019images associ\u00e9es aux jetons. Dans le cas de g\u00e9n\u00e9ration de texte, l\u2019IAgen va chercher \u00e0 trouver le prochain jeton le plus probable de correspondre \u00e0 un texte fluide. Il va ensuite repasser sa propre r\u00e9ponse partielle dans la m\u00eame machine pour d\u00e9duire le jeton suivant et ainsi de suite jusqu\u2019\u00e0 ce que son prochain jeton soit l\u2019instruction d\u2019arr\u00eat en ajoutant le nouveau jeton \u00e0 chaque it\u00e9ration.<br><br>Certaines IAgen peuvent \u00e9crire des tonnes de lignes par d\u00e9faut alors que d\u2019autres se limitent \u00e0 des r\u00e9ponses plus succinctes. Il est toujours possible de donner l\u2019instruction \u00e0 une IAgen de se limiter ou d\u2019\u00eatre plus verbeux pour modifier la longueur par d\u00e9faut de ses r\u00e9ponses.<\/p>\n\n\n<style>.wp-block-kadence-spacer.kt-block-spacer-6648_fc9688-f2 .kt-block-spacer{height:60px;}.wp-block-kadence-spacer.kt-block-spacer-6648_fc9688-f2 .kt-divider{border-top-width:1px;height:1px;border-top-color:#eee;width:100%;border-top-style:solid;}<\/style>\n<div class=\"wp-block-kadence-spacer aligncenter kt-block-spacer-6648_fc9688-f2\"><div class=\"kt-block-spacer kt-block-spacer-halign-center\"><hr class=\"kt-divider\"\/><\/div><\/div>\n\n\n<style>.wp-block-kadence-advancedheading.kt-adv-heading6648_d051fd-fb, .wp-block-kadence-advancedheading.kt-adv-heading6648_d051fd-fb[data-kb-block=\"kb-adv-heading6648_d051fd-fb\"]{font-style:normal;}.wp-block-kadence-advancedheading.kt-adv-heading6648_d051fd-fb mark.kt-highlight, .wp-block-kadence-advancedheading.kt-adv-heading6648_d051fd-fb[data-kb-block=\"kb-adv-heading6648_d051fd-fb\"] mark.kt-highlight{font-style:normal;color:#f76a0c;-webkit-box-decoration-break:clone;box-decoration-break:clone;padding-top:0px;padding-right:0px;padding-bottom:0px;padding-left:0px;}.wp-block-kadence-advancedheading.kt-adv-heading6648_d051fd-fb img.kb-inline-image, .wp-block-kadence-advancedheading.kt-adv-heading6648_d051fd-fb[data-kb-block=\"kb-adv-heading6648_d051fd-fb\"] img.kb-inline-image{width:150px;vertical-align:baseline;}<\/style>\n<div class=\"kt-adv-heading6648_d051fd-fb wp-block-kadence-advancedheading\" data-kb-block=\"kb-adv-heading6648_d051fd-fb\"><strong>Toujours curieux ?<\/strong> Si le sujet vous int\u00e9resse et que vous voulez en apprendre davantage, je vous sugg\u00e8re de visiter les sources suivantes&nbsp;:<\/div>\n\n\n<style>.wp-block-kadence-iconlist.kt-svg-icon-list-items6648_266d9b-c9:not(.this-stops-third-party-issues){margin-top:0px;margin-bottom:0px;}.wp-block-kadence-iconlist.kt-svg-icon-list-items6648_266d9b-c9 ul.kt-svg-icon-list:not(.this-prevents-issues):not(.this-stops-third-party-issues):not(.tijsloc){margin-top:var(--global-kb-spacing-sm, 1.5rem);margin-right:0px;margin-bottom:var(--global-kb-spacing-sm, 1.5rem);margin-left:0px;}.wp-block-kadence-iconlist.kt-svg-icon-list-items6648_266d9b-c9 ul.kt-svg-icon-list{grid-row-gap:5px;}.wp-block-kadence-iconlist.kt-svg-icon-list-items6648_266d9b-c9 ul.kt-svg-icon-list .kt-svg-icon-list-item-wrap .kt-svg-icon-list-single{margin-right:10px;}.kt-svg-icon-list-items6648_266d9b-c9 ul.kt-svg-icon-list .kt-svg-icon-list-level-0 .kt-svg-icon-list-single svg{font-size:20px;}<\/style>\n<div class=\"wp-block-kadence-iconlist kt-svg-icon-list-items kt-svg-icon-list-items6648_266d9b-c9 kt-svg-icon-list-columns-1 alignnone\"><ul class=\"kt-svg-icon-list\"><style>.kt-svg-icon-list-item-6648_aa8d75-f7 .kt-svg-icon-list-text mark.kt-highlight{background-color:unset;font-style:normal;color:#f76a0c;-webkit-box-decoration-break:clone;box-decoration-break:clone;padding-top:0px;padding-right:0px;padding-bottom:0px;padding-left:0px;}<\/style>\n<li class=\"wp-block-kadence-listitem kt-svg-icon-list-item-wrap kt-svg-icon-list-item-6648_aa8d75-f7\"><span class=\"kb-svg-icon-wrap kb-svg-icon-fe_link kt-svg-icon-list-single\"><svg viewBox=\"0 0 24 24\"  fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"  aria-hidden=\"true\"><path d=\"M10 13a5 5 0 0 0 7.54.54l3-3a5 5 0 0 0-7.07-7.07l-1.72 1.71\"\/><path d=\"M14 11a5 5 0 0 0-7.54-.54l-3 3a5 5 0 0 0 7.07 7.07l1.71-1.71\"\/><\/svg><\/span><span class=\"kt-svg-icon-list-text\"><a href=\"https:\/\/scillidan.github.io\/transformer-explainer\/\" target=\"_blank\" rel=\"noopener\">Transformer Explainer: LLM Transformer Model Visually Explained<\/a><\/span><\/li>\n\n\n<style>.kt-svg-icon-list-item-6648_39c802-8a .kt-svg-icon-list-text mark.kt-highlight{background-color:unset;font-style:normal;color:#f76a0c;-webkit-box-decoration-break:clone;box-decoration-break:clone;padding-top:0px;padding-right:0px;padding-bottom:0px;padding-left:0px;}<\/style>\n<li class=\"wp-block-kadence-listitem kt-svg-icon-list-item-wrap kt-svg-icon-list-item-6648_39c802-8a\"><span class=\"kb-svg-icon-wrap kb-svg-icon-fe_link kt-svg-icon-list-single\"><svg viewBox=\"0 0 24 24\"  fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"  aria-hidden=\"true\"><path d=\"M10 13a5 5 0 0 0 7.54.54l3-3a5 5 0 0 0-7.07-7.07l-1.72 1.71\"\/><path d=\"M14 11a5 5 0 0 0-7.54-.54l-3 3a5 5 0 0 0 7.07 7.07l1.71-1.71\"\/><\/svg><\/span><span class=\"kt-svg-icon-list-text\"><a href=\"https:\/\/www.youtube.com\/watch?v=wjZofJX0v4M\" target=\"_blank\" rel=\"noopener\">Mais c&rsquo;est quoi, un GPT ? Introduction visuelle aux Transformers | Deep learning, chapitre 5<\/a><\/span><\/li>\n\n\n<style>.kt-svg-icon-list-item-6648_b754bf-2b .kt-svg-icon-list-text mark.kt-highlight{background-color:unset;font-style:normal;color:#f76a0c;-webkit-box-decoration-break:clone;box-decoration-break:clone;padding-top:0px;padding-right:0px;padding-bottom:0px;padding-left:0px;}<\/style>\n<li class=\"wp-block-kadence-listitem kt-svg-icon-list-item-wrap kt-svg-icon-list-item-6648_b754bf-2b\"><span class=\"kb-svg-icon-wrap kb-svg-icon-fe_link kt-svg-icon-list-single\"><svg viewBox=\"0 0 24 24\"  fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"  aria-hidden=\"true\"><path d=\"M10 13a5 5 0 0 0 7.54.54l3-3a5 5 0 0 0-7.07-7.07l-1.72 1.71\"\/><path d=\"M14 11a5 5 0 0 0-7.54-.54l-3 3a5 5 0 0 0 7.07 7.07l1.71-1.71\"\/><\/svg><\/span><span class=\"kt-svg-icon-list-text\"><a href=\"https:\/\/www.youtube.com\/watch?v=U2hZFMVNSE0\" target=\"_blank\" rel=\"noopener\">Comment fonctionne r\u00e9ellement l&rsquo;IA ? Explications de Transformers<\/a><\/span><\/li>\n\n\n<style>.kt-svg-icon-list-item-6648_cd36ab-71 .kt-svg-icon-list-text mark.kt-highlight{background-color:unset;font-style:normal;color:#f76a0c;-webkit-box-decoration-break:clone;box-decoration-break:clone;padding-top:0px;padding-right:0px;padding-bottom:0px;padding-left:0px;}<\/style>\n<li class=\"wp-block-kadence-listitem kt-svg-icon-list-item-wrap kt-svg-icon-list-item-6648_cd36ab-71\"><span class=\"kb-svg-icon-wrap kb-svg-icon-fe_link kt-svg-icon-list-single\"><svg viewBox=\"0 0 24 24\"  fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"  aria-hidden=\"true\"><path d=\"M10 13a5 5 0 0 0 7.54.54l3-3a5 5 0 0 0-7.07-7.07l-1.72 1.71\"\/><path d=\"M14 11a5 5 0 0 0-7.54-.54l-3 3a5 5 0 0 0 7.07 7.07l1.71-1.71\"\/><\/svg><\/span><span class=\"kt-svg-icon-list-text\"><a href=\"https:\/\/www.analyticsvidhya.com\/blog\/2026\/03\/how-transformers-power-llm\/\" target=\"_blank\" rel=\"noopener\">How Transformers Power LLMs: An Intuitive Step-by-Step Guide<\/a><\/span><\/li>\n\n\n<style>.kt-svg-icon-list-item-6648_ea8e78-0d .kt-svg-icon-list-text mark.kt-highlight{background-color:unset;font-style:normal;color:#f76a0c;-webkit-box-decoration-break:clone;box-decoration-break:clone;padding-top:0px;padding-right:0px;padding-bottom:0px;padding-left:0px;}<\/style>\n<li class=\"wp-block-kadence-listitem kt-svg-icon-list-item-wrap kt-svg-icon-list-item-6648_ea8e78-0d\"><span class=\"kb-svg-icon-wrap kb-svg-icon-fe_link kt-svg-icon-list-single\"><svg viewBox=\"0 0 24 24\"  fill=\"none\" stroke=\"currentColor\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\"  aria-hidden=\"true\"><path d=\"M10 13a5 5 0 0 0 7.54.54l3-3a5 5 0 0 0-7.07-7.07l-1.72 1.71\"\/><path d=\"M14 11a5 5 0 0 0-7.54-.54l-3 3a5 5 0 0 0 7.07 7.07l1.71-1.71\"\/><\/svg><\/span><span class=\"kt-svg-icon-list-text\"><a href=\"https:\/\/huggingface.co\/learn\/llm-course\/en\/chapter1\/4\" target=\"_blank\" rel=\"noopener\">How do Transformers work? \u00b7 Hugging Face<\/a><\/span><\/li>\n<\/ul><\/div>\n","protected":false},"excerpt":{"rendered":"<p>This text was written by a human assisted by an IAgen to standardize the tone and spelling of the content. All information has been validated by human experts in the field. The header image was generated by an IAgen from the author's prompt. We saw in the previous article that...<\/p>","protected":false},"author":38,"featured_media":6723,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"_kad_blocks_custom_css":"","_kad_blocks_head_custom_js":"","_kad_blocks_body_custom_js":"","_kad_blocks_footer_custom_js":"","_kad_post_transparent":"","_kad_post_title":"","_kad_post_layout":"","_kad_post_sidebar_id":"","_kad_post_content_style":"","_kad_post_vertical_padding":"","_kad_post_feature":"","_kad_post_feature_position":"","_kad_post_header":false,"_kad_post_footer":false,"_kad_post_classname":"","footnotes":""},"categories":[63],"tags":[],"class_list":["post-6648","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-intelligence-artificielle"],"acf":[],"taxonomy_info":{"category":[{"value":63,"label":"Intelligence artificielle"}]},"featured_image_src_large":["https:\/\/www.kuriosit.ca\/wp-content\/uploads\/2026\/04\/fonctionnement-ia-generative-modeles-de-langage.png",1408,768,false],"author_info":{"display_name":"Evelyne Proulx","author_link":"https:\/\/www.kuriosit.ca\/en\/author\/eproulx\/"},"comment_info":0,"category_info":[{"term_id":63,"name":"Intelligence artificielle","slug":"intelligence-artificielle","term_group":0,"term_taxonomy_id":63,"taxonomy":"category","description":"","parent":0,"count":7,"filter":"raw","cat_ID":63,"category_count":7,"category_description":"","cat_name":"Intelligence artificielle","category_nicename":"intelligence-artificielle","category_parent":0}],"tag_info":false,"_links":{"self":[{"href":"https:\/\/www.kuriosit.ca\/en\/wp-json\/wp\/v2\/posts\/6648","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.kuriosit.ca\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.kuriosit.ca\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.kuriosit.ca\/en\/wp-json\/wp\/v2\/users\/38"}],"replies":[{"embeddable":true,"href":"https:\/\/www.kuriosit.ca\/en\/wp-json\/wp\/v2\/comments?post=6648"}],"version-history":[{"count":9,"href":"https:\/\/www.kuriosit.ca\/en\/wp-json\/wp\/v2\/posts\/6648\/revisions"}],"predecessor-version":[{"id":6738,"href":"https:\/\/www.kuriosit.ca\/en\/wp-json\/wp\/v2\/posts\/6648\/revisions\/6738"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.kuriosit.ca\/en\/wp-json\/wp\/v2\/media\/6723"}],"wp:attachment":[{"href":"https:\/\/www.kuriosit.ca\/en\/wp-json\/wp\/v2\/media?parent=6648"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.kuriosit.ca\/en\/wp-json\/wp\/v2\/categories?post=6648"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.kuriosit.ca\/en\/wp-json\/wp\/v2\/tags?post=6648"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}