{"id":919,"date":"2026-10-30T15:49:59","date_gmt":"2026-10-30T14:49:59","guid":{"rendered":"https:\/\/oxegena.ch\/fr\/?p=919"},"modified":"2026-10-30T15:55:57","modified_gmt":"2026-10-30T14:55:57","slug":"apertus-1-5-modele-ia-suisse-au-contexte-etendu-et-a-la-vision-performante-un-levier-pour-les-pme","status":"publish","type":"post","link":"https:\/\/oxegena.ch\/fr\/apertus-1-5-modele-ia-suisse-au-contexte-etendu-et-a-la-vision-performante-un-levier-pour-les-pme\/","title":{"rendered":"Apertus 1.5 : mod\u00e8le IA Suisse au contexte \u00e9tendu et \u00e0 la vision performante, un levier pour les PME"},"content":{"rendered":"<p>L\u2019intelligence artificielle franchit une nouvelle \u00e9tape avec le lancement d\u2019<strong>Apertus.ai version 1.5<\/strong>. Cette mise \u00e0 jour majeure introduit un <em>contexte \u00e9tendu<\/em> et la <em>compr\u00e9hension native d\u2019images<\/em>, rendant le mod\u00e8le bien plus performant pour des cas d\u2019usage complexes. Dans cet article, nous d\u00e9cortiquons les phases d\u2019entra\u00eenement qui ont permis cette \u00e9volution, ainsi que les r\u00e9sultats obtenus, pour mesurer leur impact concret sur les outils num\u00e9riques des entreprises.<\/p>\n<h2>Un contexte \u00e9largi et une vision artificielle repens\u00e9e<\/h2>\n<p>La principale avanc\u00e9e d\u2019Apertus 1.5 r\u00e9side dans l\u2019extension massive de sa fen\u00eatre de contexte, capable d\u00e9sormais de traiter jusqu\u2019\u00e0 <strong>128 000 tokens<\/strong> en une seule requ\u00eate. Cette capacit\u00e9 repose sur une modification profonde du m\u00e9canisme d\u2019attention, o\u00f9 les matrices de positionnement ont \u00e9t\u00e9 r\u00e9-entra\u00een\u00e9es pour \u00e9viter la d\u00e9gradation des performances sur les segments longs. Concr\u00e8tement, le mod\u00e8le peut analyser un document juridique complet, un historique de maintenance ou un manuel technique sans perdre le fil des informations \u00e9nonc\u00e9es plusieurs pages auparavant.<\/p>\n<p>L\u2019autre pilier de cette version est la compr\u00e9hension multimodale. L\u2019entra\u00eenement a \u00e9t\u00e9 d\u00e9compos\u00e9 en trois grandes \u00e9tapes. D\u2019abord, un <strong>pr\u00e9-entra\u00eenement massif<\/strong> sur un corpus combinant des paires texte-image l\u00e9gend\u00e9es et des documents textuels longs, afin d\u2019ancrer les repr\u00e9sentations s\u00e9mantiques. Ensuite, une phase de <strong>fine-tuning supervis\u00e9<\/strong> a expos\u00e9 le mod\u00e8le \u00e0 des t\u00e2ches d\u2019analyse visuelle : description d\u2019images, extraction d\u2019informations dans des captures d\u2019\u00e9cran, reconnaissance de sch\u00e9mas ou de graphiques. Enfin, un <strong>alignement par apprentissage par renforcement<\/strong> (RLHF) a permis d\u2019affiner la qualit\u00e9 et la pr\u00e9cision des r\u00e9ponses, en minimisant les hallucinations visuelles.<\/p>\n<p>La particularit\u00e9 du pipeline d\u2019Apertus 1.5 est l\u2019utilisation d\u2019un encodeur visuel partiellement gel\u00e9, coupl\u00e9 \u00e0 un projecteur entra\u00eenable, ce qui r\u00e9duit le co\u00fbt computationnel tout en pr\u00e9servant une grande finesse d\u2019interpr\u00e9tation. Ainsi, le mod\u00e8le ne se contente pas de \u00ab voir \u00bb une image : il peut la comparer avec du texte, en extraire des incoh\u00e9rences ou encore g\u00e9n\u00e9rer des instructions pas \u00e0 pas \u00e0 partir d\u2019un sch\u00e9ma technique. Cette approche le rend beaucoup plus pertinent pour des secteurs comme la logistique, l\u2019industrie ou le support client, o\u00f9 les documents visuels sont omnipr\u00e9sents.<\/p>\n<h2>Des performances mesurables et des d\u00e9bouch\u00e9s pour les PME<\/h2>\n<p>Les r\u00e9sultats publi\u00e9s sur <a href=\"https:\/\/apertus-ai.org\/articles\/2026-07-apertus-1.5\/\">l\u2019article officiel d\u2019Apertus.ai<\/a> montrent une am\u00e9lioration significative dans plusieurs benchmarks. Sur les t\u00e2ches de compr\u00e9hension de longs contextes, le score de rappel en milieu et fin de document augmente de 22 % par rapport \u00e0 la version pr\u00e9c\u00e9dente, ce qui \u00e9vite les pertes d\u2019information critiques. Concernant la compr\u00e9hension d\u2019images, le mod\u00e8le atteint une pr\u00e9cision comparable \u00e0 des syst\u00e8mes sp\u00e9cialis\u00e9s sur la reconnaissance de factures, de captures d\u2019\u00e9cran d\u2019interfaces logicielles ou de fiches produit. En parall\u00e8le, le taux d\u2019hallucinations a \u00e9t\u00e9 r\u00e9duit de 18 %, un indicateur qui rassure les entreprises souhaitant automatiser des processus avec un haut niveau de fiabilit\u00e9.<\/p>\n<p>Ces performances ne sont pas que th\u00e9oriques : elles ouvrent des champs d\u2019application imm\u00e9diats pour les petites et moyennes structures. Imaginez un assistant capable de lire un bon de commande manuscrit, de comparer les prix avec un catalogue en ligne et de r\u00e9diger un devis personnalis\u00e9 en tenant compte de tout l\u2019historique client. Pour transformer cette avanc\u00e9e en solution interne, les PME ont besoin d\u2019un environnement technique robuste. <strong>C\u2019est pr\u00e9cis\u00e9ment l\u00e0 qu\u2019intervient l\u2019expertise d\u2019Oxegena<\/strong>, agence digitale sp\u00e9cialis\u00e9e dans l\u2019int\u00e9gration de l\u2019IA pour les petites entreprises et fournisseur de services d\u2019h\u00e9bergement d\u2019applications.<\/p>\n<p>En s\u2019appuyant sur des API bien con\u00e7ues et des conteneurs optimis\u00e9s, une PME peut int\u00e9grer les fonctionnalit\u00e9s d\u2019Apertus 1.5 dans son syst\u00e8me de gestion de tickets, son outil de CRM ou son portail documentaire.<\/p>\n<h2>Conclusion<\/h2>\n<p>La version 1.5 d\u2019Apertus.ai marque une avanc\u00e9e d\u00e9cisive en associant un tr\u00e8s grand contexte \u00e0 une vision par ordinateur fiable, le tout valid\u00e9 par des r\u00e9sultats solides en pertinence et en r\u00e9duction des erreurs. Les \u00e9tapes d\u2019entra\u00eenement \u2013 d\u2019un pr\u00e9-apprentissage multimodal \u00e0 un alignement fin \u2013 d\u00e9montrent que ces capacit\u00e9s sont aujourd\u2019hui matures.<\/p>\n<p>La version 2.0 d&rsquo;Apertus.ai est pr\u00e9vue fin 2026 &#8211; Cette version vise de meilleures performances en programmation, en math\u00e9matiques et int\u00e8gre des fonctions agentiques avanc\u00e9es.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>L\u2019intelligence artificielle franchit une nouvelle \u00e9tape avec le lancement d\u2019Apertus.ai version 1.5. Cette mise \u00e0 jour majeure introduit un contexte \u00e9tendu et la compr\u00e9hension native d\u2019images, rendant le mod\u00e8le bien plus performant pour des cas d\u2019usage complexes. Dans cet article, nous d\u00e9cortiquons les phases d\u2019entra\u00eenement qui ont permis cette \u00e9volution, ainsi que les r\u00e9sultats obtenus,&hellip; <br \/> <a class=\"read-more\" href=\"https:\/\/oxegena.ch\/fr\/apertus-1-5-modele-ia-suisse-au-contexte-etendu-et-a-la-vision-performante-un-levier-pour-les-pme\/\">Lire la suite<\/a><\/p>\n","protected":false},"author":2,"featured_media":922,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[51],"tags":[52,53],"class_list":["post-919","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-article","tag-ai","tag-ia"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.8 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Apertus 1.5 : IA contexte 128k tokens &amp; vision multimodale | Oxegena<\/title>\n<meta name=\"description\" content=\"D\u00e9couvrez Apertus 1.5 : contexte \u00e9tendu 128k tokens + vision native d&#039;images. -22% pertes info, -18% hallucinations. 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