1:"$Sreact.fragment" 2:I[94210,["/_next/static/chunks/b292ef59945299fb.js","/_next/static/chunks/db1ed03dad8fa1ad.js"],"default"] 3:I[49451,["/_next/static/chunks/b292ef59945299fb.js","/_next/static/chunks/db1ed03dad8fa1ad.js"],"default"] 6:I[99456,["/_next/static/chunks/b292ef59945299fb.js","/_next/static/chunks/db1ed03dad8fa1ad.js"],"OutletBoundary"] 7:"$Sreact.suspense" 9:I[99456,["/_next/static/chunks/b292ef59945299fb.js","/_next/static/chunks/db1ed03dad8fa1ad.js"],"ViewportBoundary"] b:I[99456,["/_next/static/chunks/b292ef59945299fb.js","/_next/static/chunks/db1ed03dad8fa1ad.js"],"MetadataBoundary"] d:I[51894,[],"default"] :HL["/_next/static/chunks/2e73269b79f02f4d.css","style"] :HL["/_next/static/media/2a65768255d6b625-s.p.d19752fb.woff2","font",{"crossOrigin":"","type":"font/woff2"}] :HL["/_next/static/media/47fe1b7cd6e6ed85-s.p.855a563b.woff2","font",{"crossOrigin":"","type":"font/woff2"}] :HL["/_next/static/media/83afe278b6a6bb3c-s.p.3a6ba036.woff2","font",{"crossOrigin":"","type":"font/woff2"}] :HL["/_next/static/media/8e6fa89aa22d24ec-s.p.3aec397d.woff2","font",{"crossOrigin":"","type":"font/woff2"}] :HL["/_next/static/media/a218039a3287bcfd-s.p.4a23d71b.woff2","font",{"crossOrigin":"","type":"font/woff2"}] :HL["/_next/static/media/e2334d715941921e-s.p.d82a9aff.woff2","font",{"crossOrigin":"","type":"font/woff2"}] 0:{"P":null,"b":"hEyQdfANp7GcGtypER5lV","c":["","fr","blog","slm-mobile-ai"],"q":"","i":false,"f":[[["",{"children":[["locale","fr","d"],{"children":["blog",{"children":[["slug","slm-mobile-ai","d"],{"children":["__PAGE__",{}]}]}]},"$undefined","$undefined",true]}],[["$","$1","c",{"children":[null,["$","$L2",null,{"parallelRouterKey":"children","error":"$undefined","errorStyles":"$undefined","errorScripts":"$undefined","template":["$","$L3",null,{}],"templateStyles":"$undefined","templateScripts":"$undefined","notFound":[[["$","title",null,{"children":"404: This page could not be found."}],["$","div",null,{"style":{"fontFamily":"system-ui,\"Segoe UI\",Roboto,Helvetica,Arial,sans-serif,\"Apple Color Emoji\",\"Segoe UI Emoji\"","height":"100vh","textAlign":"center","display":"flex","flexDirection":"column","alignItems":"center","justifyContent":"center"},"children":["$","div",null,{"children":[["$","style",null,{"dangerouslySetInnerHTML":{"__html":"body{color:#000;background:#fff;margin:0}.next-error-h1{border-right:1px solid rgba(0,0,0,.3)}@media (prefers-color-scheme:dark){body{color:#fff;background:#000}.next-error-h1{border-right:1px solid rgba(255,255,255,.3)}}"}}],["$","h1",null,{"className":"next-error-h1","style":{"display":"inline-block","margin":"0 20px 0 0","padding":"0 23px 0 0","fontSize":24,"fontWeight":500,"verticalAlign":"top","lineHeight":"49px"},"children":404}],["$","div",null,{"style":{"display":"inline-block"},"children":["$","h2",null,{"style":{"fontSize":14,"fontWeight":400,"lineHeight":"49px","margin":0},"children":"This page could not be found."}]}]]}]}]],[]],"forbidden":"$undefined","unauthorized":"$undefined"}]]}],{"children":[["$","$1","c",{"children":[[["$","link","0",{"rel":"stylesheet","href":"/_next/static/chunks/2e73269b79f02f4d.css","precedence":"next","crossOrigin":"$undefined","nonce":"$undefined"}],["$","script","script-0",{"src":"/_next/static/chunks/e70cf233ca02384a.js","async":true,"nonce":"$undefined"}],["$","script","script-1",{"src":"/_next/static/chunks/c72270908abd0eb3.js","async":true,"nonce":"$undefined"}],["$","script","script-2",{"src":"/_next/static/chunks/d27307698ed538b1.js","async":true,"nonce":"$undefined"}]],"$L4"]}],{"children":[["$","$1","c",{"children":[null,["$","$L2",null,{"parallelRouterKey":"children","error":"$undefined","errorStyles":"$undefined","errorScripts":"$undefined","template":["$","$L3",null,{}],"templateStyles":"$undefined","templateScripts":"$undefined","notFound":"$undefined","forbidden":"$undefined","unauthorized":"$undefined"}]]}],{"children":[["$","$1","c",{"children":[null,["$","$L2",null,{"parallelRouterKey":"children","error":"$undefined","errorStyles":"$undefined","errorScripts":"$undefined","template":["$","$L3",null,{}],"templateStyles":"$undefined","templateScripts":"$undefined","notFound":"$undefined","forbidden":"$undefined","unauthorized":"$undefined"}]]}],{"children":[["$","$1","c",{"children":["$L5",null,["$","$L6",null,{"children":["$","$7",null,{"name":"Next.MetadataOutlet","children":"$@8"}]}]]}],{},null,false,false]},null,false,false]},null,false,false]},null,false,false]},null,false,false],["$","$1","h",{"children":[null,["$","$L9",null,{"children":"$@a"}],["$","div",null,{"hidden":true,"children":["$","$Lb",null,{"children":["$","$7",null,{"name":"Next.Metadata","children":"$@c"}]}]}],["$","meta",null,{"name":"next-size-adjust","content":""}]]}],false]],"m":"$undefined","G":["$d",[]],"S":true} f:I[83977,["/_next/static/chunks/e70cf233ca02384a.js","/_next/static/chunks/c72270908abd0eb3.js","/_next/static/chunks/d27307698ed538b1.js"],"Image"] 5:["$","article",null,{"className":"container py-12 md:py-20","children":["$","div",null,{"className":"max-w-3xl mx-auto","children":["$Le",["$","div",null,{"className":"space-y-6 mb-12","children":[["$","div",null,{"className":"flex flex-wrap gap-2","children":["$","span",null,{"data-slot":"badge","className":"inline-flex items-center justify-center rounded-full border font-medium w-fit whitespace-nowrap shrink-0 [&>svg]:size-3 gap-1 [&>svg]:pointer-events-none focus-visible:border-ring focus-visible:ring-ring/50 focus-visible:ring-[3px] aria-invalid:ring-destructive/20 dark:aria-invalid:ring-destructive/40 aria-invalid:border-destructive transition-[color,box-shadow] overflow-hidden border-transparent [a&]:hover:bg-primary/90 bg-primary/10 text-primary hover:bg-primary/20 border-none text-sm px-3 py-1","children":"$undefined"}]}],["$","h1",null,{"className":"text-3xl md:text-5xl font-bold leading-tight","children":"L'essor des Small Language Models (SLM) : L'IA embarquée sur mobile"}],["$","div",null,{"className":"relative w-full aspect-video rounded-xl overflow-hidden my-8 shadow-lg","children":["$","$Lf",null,{"src":"/images/blog_slm_mobile.png","alt":"L'essor des Small Language Models (SLM) : L'IA embarquée sur mobile","fill":true,"className":"object-cover","priority":true}]}],["$","div",null,{"className":"flex flex-wrap items-center gap-6 text-slate-500 text-sm border-b border-slate-100 dark:border-slate-800 pb-8","children":[["$","div",null,{"className":"flex items-center gap-2","children":[["$","svg",null,{"ref":"$undefined","xmlns":"http://www.w3.org/2000/svg","width":16,"height":16,"viewBox":"0 0 24 24","fill":"none","stroke":"currentColor","strokeWidth":2,"strokeLinecap":"round","strokeLinejoin":"round","className":"lucide lucide-user","aria-hidden":"true","children":[["$","path","975kel",{"d":"M19 21v-2a4 4 0 0 0-4-4H9a4 4 0 0 0-4 4v2"}],["$","circle","17ys0d",{"cx":"12","cy":"7","r":"4"}],"$undefined"]}],["$","span",null,{"className":"font-medium text-slate-900 dark:text-slate-200","children":"Sophie Laurent"}]]}],["$","div",null,{"className":"flex items-center gap-2","children":[["$","svg",null,{"ref":"$undefined","xmlns":"http://www.w3.org/2000/svg","width":16,"height":16,"viewBox":"0 0 24 24","fill":"none","stroke":"currentColor","strokeWidth":2,"strokeLinecap":"round","strokeLinejoin":"round","className":"lucide lucide-calendar","aria-hidden":"true","children":[["$","path","1cmpym",{"d":"M8 2v4"}],["$","path","4m81vk",{"d":"M16 2v4"}],["$","rect","1hopcy",{"width":"18","height":"18","x":"3","y":"4","rx":"2"}],["$","path","8toen8",{"d":"M3 10h18"}],"$undefined"]}],["$","span",null,{"children":"2025-07-18"}]]}],["$","div",null,{"className":"flex items-center gap-2","children":[["$","svg",null,{"ref":"$undefined","xmlns":"http://www.w3.org/2000/svg","width":16,"height":16,"viewBox":"0 0 24 24","fill":"none","stroke":"currentColor","strokeWidth":2,"strokeLinecap":"round","strokeLinejoin":"round","className":"lucide lucide-clock","aria-hidden":"true","children":[["$","path","mmk7yg",{"d":"M12 6v6l4 2"}],["$","circle","1mglay",{"cx":"12","cy":"12","r":"10"}],"$undefined"]}],["$","span",null,{"children":"5 min"}]]}]]}]]}],["$","div",null,{"className":"prose prose-lg dark:prose-invert max-w-none","children":["$","article",null,{"className":"prose prose-lg max-w-none prose-headings:font-heading prose-a:text-primary hover:prose-a:text-primary-700","children":[["$","h2","h2-0",{"className":"text-3xl font-semibold mb-4 mt-12 text-gray-800 border-b pb-2","children":"La course à la miniaturisation"}],"\n",["$","p","p-0",{"className":"mb-4 text-gray-600 leading-relaxed","children":["Pendant des années, la tendance était au \"toujours plus gros\" (GPT-3, GPT-4). Mais en 2024-2025, une contre-tendance forte émerge : les ",["$","strong","strong-0",{"children":"Small Language Models (SLM)"}],". Des modèles comme Phi-3 de Microsoft, Gemma de Google ou Llama 3 8B de Meta prouvent qu'on peut avoir des performances étonnantes avec peu de paramètres."]}],"\n",["$","h2","h2-1",{"className":"text-3xl font-semibold mb-4 mt-12 text-gray-800 border-b pb-2","children":"Pourquoi faire petit ?"}],"\n",["$","h3","h3-0",{"className":"text-2xl font-semibold mb-3 mt-8 text-gray-700","children":"1. Confidentialité (Privacy)"}],"\n","$L10","\n","$L11","\n","$L12","\n","$L13","\n","$L14","\n","$L15","\n","$L16","\n","$L17","\n","$L18"]}]}],"$L19"]}]}] 10:["$","p","p-1",{"className":"mb-4 text-gray-600 leading-relaxed","children":"Un SLM peut tourner entièrement en local sur votre ordinateur ou votre smartphone. Aucune donnée ne part dans le cloud. C'est un argument décisif pour les secteurs sensibles (santé, défense, finance) ou pour les applications de messagerie privée."}] 11:["$","h3","h3-1",{"className":"text-2xl font-semibold mb-3 mt-8 text-gray-700","children":"2. Latence et disponibilité"}] 12:["$","p","p-2",{"className":"mb-4 text-gray-600 leading-relaxed","children":"Pas besoin d'attendre une réponse serveur. L'inférence est immédiate, même en mode avion. Idéal pour les assistants vocaux, la traduction en temps réel ou les aides à la navigation."}] 13:["$","h3","h3-2",{"className":"text-2xl font-semibold mb-3 mt-8 text-gray-700","children":"3. Coût et Énergie"}] 14:["$","p","p-3",{"className":"mb-4 text-gray-600 leading-relaxed","children":"Faire tourner un LLM géant coûte cher en GPU et en électricité. Un SLM consomme une fraction de cette énergie, rendant l'IA plus soutenable écologiquement et économiquement viable pour des cas d'usage à faible marge."}] 15:["$","h2","h2-2",{"className":"text-3xl font-semibold mb-4 mt-12 text-gray-800 border-b pb-2","children":"Les limites"}] 16:["$","p","p-4",{"className":"mb-4 text-gray-600 leading-relaxed","children":"Évidemment, un modèle de 3 milliards de paramètres ne remplacera pas GPT-4 pour rédiger un roman complexe ou résoudre des problèmes de physique quantique. Les SLM sont moins \"généralistes\". Ils excellent sur des tâches spécifiques pour lesquelles ils ont été optimisés (résumé, classification, chat basique)."}] 17:["$","h2","h2-3",{"className":"text-3xl font-semibold mb-4 mt-12 text-gray-800 border-b pb-2","children":"L'avenir est hybride"}] 18:["$","p","p-5",{"className":"mb-4 text-gray-600 leading-relaxed","children":"L'architecture de demain sera probablement hybride : un SLM local gère 80% des requêtes simples (rapide, gratuit, privé), et délègue au cloud (GPT-5) les 20% de tâches complexes nécessitant une intelligence supérieure."}] 19:["$","div",null,{"className":"mt-12 pt-8 border-t border-slate-100 dark:border-slate-800","children":[["$","h3",null,{"className":"text-lg font-semibold mb-4","children":"Tags"}],["$","div",null,{"className":"flex flex-wrap gap-2","children":[["$","span","SLM",{"data-slot":"badge","className":"inline-flex items-center justify-center rounded-full border px-2 py-0.5 text-xs font-medium w-fit whitespace-nowrap shrink-0 [&>svg]:size-3 gap-1 [&>svg]:pointer-events-none focus-visible:border-ring focus-visible:ring-ring/50 focus-visible:ring-[3px] aria-invalid:ring-destructive/20 dark:aria-invalid:ring-destructive/40 aria-invalid:border-destructive transition-[color,box-shadow] overflow-hidden [a&]:hover:bg-accent [a&]:hover:text-accent-foreground text-slate-600","children":[["$","svg",null,{"ref":"$undefined","xmlns":"http://www.w3.org/2000/svg","width":12,"height":12,"viewBox":"0 0 24 24","fill":"none","stroke":"currentColor","strokeWidth":2,"strokeLinecap":"round","strokeLinejoin":"round","className":"lucide lucide-tag mr-1","aria-hidden":"true","children":[["$","path","vktsd0",{"d":"M12.586 2.586A2 2 0 0 0 11.172 2H4a2 2 0 0 0-2 2v7.172a2 2 0 0 0 .586 1.414l8.704 8.704a2.426 2.426 0 0 0 3.42 0l6.58-6.58a2.426 2.426 0 0 0 0-3.42z"}],["$","circle","kqv944",{"cx":"7.5","cy":"7.5","r":".5","fill":"currentColor"}],"$undefined"]}]," ","SLM"]}],["$","span","Edge AI",{"data-slot":"badge","className":"inline-flex items-center justify-center rounded-full border px-2 py-0.5 text-xs font-medium w-fit whitespace-nowrap shrink-0 [&>svg]:size-3 gap-1 [&>svg]:pointer-events-none focus-visible:border-ring focus-visible:ring-ring/50 focus-visible:ring-[3px] aria-invalid:ring-destructive/20 dark:aria-invalid:ring-destructive/40 aria-invalid:border-destructive transition-[color,box-shadow] overflow-hidden [a&]:hover:bg-accent [a&]:hover:text-accent-foreground text-slate-600","children":[["$","svg",null,{"ref":"$undefined","xmlns":"http://www.w3.org/2000/svg","width":12,"height":12,"viewBox":"0 0 24 24","fill":"none","stroke":"currentColor","strokeWidth":2,"strokeLinecap":"round","strokeLinejoin":"round","className":"lucide lucide-tag mr-1","aria-hidden":"true","children":[["$","path","vktsd0",{"d":"M12.586 2.586A2 2 0 0 0 11.172 2H4a2 2 0 0 0-2 2v7.172a2 2 0 0 0 .586 1.414l8.704 8.704a2.426 2.426 0 0 0 3.42 0l6.58-6.58a2.426 2.426 0 0 0 0-3.42z"}],["$","circle","kqv944",{"cx":"7.5","cy":"7.5","r":".5","fill":"currentColor"}],"$undefined"]}]," ","Edge AI"]}],["$","span","Mobile",{"data-slot":"badge","className":"inline-flex items-center justify-center rounded-full border px-2 py-0.5 text-xs font-medium w-fit whitespace-nowrap shrink-0 [&>svg]:size-3 gap-1 [&>svg]:pointer-events-none focus-visible:border-ring focus-visible:ring-ring/50 focus-visible:ring-[3px] aria-invalid:ring-destructive/20 dark:aria-invalid:ring-destructive/40 aria-invalid:border-destructive transition-[color,box-shadow] overflow-hidden [a&]:hover:bg-accent [a&]:hover:text-accent-foreground text-slate-600","children":[["$","svg",null,{"ref":"$undefined","xmlns":"http://www.w3.org/2000/svg","width":12,"height":12,"viewBox":"0 0 24 24","fill":"none","stroke":"currentColor","strokeWidth":2,"strokeLinecap":"round","strokeLinejoin":"round","className":"lucide lucide-tag mr-1","aria-hidden":"true","children":[["$","path","vktsd0",{"d":"M12.586 2.586A2 2 0 0 0 11.172 2H4a2 2 0 0 0-2 2v7.172a2 2 0 0 0 .586 1.414l8.704 8.704a2.426 2.426 0 0 0 3.42 0l6.58-6.58a2.426 2.426 0 0 0 0-3.42z"}],["$","circle","kqv944",{"cx":"7.5","cy":"7.5","r":".5","fill":"currentColor"}],"$undefined"]}]," ","Mobile"]}]]}]]}] 1a:I[69286,["/_next/static/chunks/e70cf233ca02384a.js","/_next/static/chunks/c72270908abd0eb3.js","/_next/static/chunks/d27307698ed538b1.js"],"default"] e:["$","$L1a",null,{"ref":null,"href":"/fr/blog","locale":"$undefined","localeCookie":{"name":"NEXT_LOCALE","sameSite":"lax"},"children":[["$","svg",null,{"ref":"$undefined","xmlns":"http://www.w3.org/2000/svg","width":24,"height":24,"viewBox":"0 0 24 24","fill":"none","stroke":"currentColor","strokeWidth":2,"strokeLinecap":"round","strokeLinejoin":"round","className":"lucide lucide-arrow-left mr-2 h-4 w-4","aria-hidden":"true","children":[["$","path","1l729n",{"d":"m12 19-7-7 7-7"}],["$","path","x3x0zl",{"d":"M19 12H5"}],"$undefined"]}]," Retour au blog"],"data-slot":"button","className":"inline-flex items-center justify-center gap-2 whitespace-nowrap rounded-md text-sm font-medium disabled:pointer-events-none disabled:opacity-50 [&_svg]:pointer-events-none [&_svg:not([class*='size-'])]:size-4 shrink-0 [&_svg]:shrink-0 outline-none focus-visible:border-ring focus-visible:ring-ring/50 focus-visible:ring-[3px] aria-invalid:ring-destructive/20 dark:aria-invalid:ring-destructive/40 aria-invalid:border-destructive dark:hover:bg-accent/50 h-9 px-4 py-2 has-[>svg]:px-3 mb-8 pl-0 hover:pl-0 hover:bg-transparent text-slate-500 hover:text-primary transition-colors"}] 4:["$","html",null,{"lang":"fr","className":"inter_5901b7c6-module__ec5Qua__variable poppins_42fdbe96-module__6Gf6Dq__variable playfair_display_dc3b86c2-module__wRxeBG__variable","suppressHydrationWarning":true,"children":["$","body",null,{"className":"min-h-screen flex flex-col font-sans","suppressHydrationWarning":true,"children":"$L1b"}]}] 1c:I[4200,["/_next/static/chunks/e70cf233ca02384a.js","/_next/static/chunks/c72270908abd0eb3.js","/_next/static/chunks/d27307698ed538b1.js"],"default"] 1b:["$","$L1c",null,{"formats":"$undefined","locale":"fr","messages":{"home":{"hero":{"title":"Formation IA pour les entreprises qui veulent rester compétitives","subtitle":"Formez vos équipes à l'IA générative, au Machine Learning et à la Data Science. Des programmes sur mesure pour dirigeants, managers et experts techniques.","cta_primary":"Découvrir nos formations","cta_secondary":"Parler à un expert"},"vision":{"title":"Une approche humaine de l'IA","subtitle":"Chez Ikasia, nous croyons que l'intelligence artificielle doit augmenter l'humain, pas le remplacer. Nos formations sont conçues pour vous donner les clés de cette technologie, avec une approche éthique et pragmatique.","cta":"Notre philosophie"},"value_prop":{"title":"Pourquoi choisir Ikasia ?","dictionary":{"word":"ikasi","phonetic":"/i.ka.si/","type":"verbe (basque)","definition":"apprendre"},"quote":"Nous unissons cette soif d'apprendre à la puissance de l'Intelligence Artificielle pour éveiller le potentiel de chaque collaborateur.","items":[{"title":"Expertise Terrain","description":"Formateurs consultants actifs sur des projets IA réels."},{"title":"Approche Pragmatique","description":"Pas de théorie inutile, focus sur les cas d'usage business."},{"title":"Sur Mesure","description":"Programmes adaptés à votre secteur et votre maturité data."}]},"featured_courses":{"title":"Nos formations à la une","view_all":"Voir toutes les formations"}},"nav":{"home":"Accueil","formations":"Formations","workshops":"Ateliers","about":"À propos","blog":"Blog","contact":"Contact"},"cta":{"request_quote":"Demander un devis","learn_more":"En savoir plus","download_catalog":"Télécharger le catalogue"},"hero":{"title":"L'IA par ceux qui la font. Pour ceux qui veulent la maîtriser.","subtitle":"Ikasia forme les professionnels et les entreprises à l'intelligence artificielle avec une approche pratique, accessible et alignée sur l'état de l'art technologique."},"devis":{"title":"Demander un devis groupe","subtitle":"Vous souhaitez former une équipe ? Remplissez ce formulaire pour recevoir une proposition sur mesure adaptée à vos enjeux et à votre budget.","form":{"title":"Votre projet de formation","subtitle":"Dites-nous en plus sur vos besoins","firstName":"Prénom","lastName":"Nom","email":"Email professionnel","phone":"Téléphone","company":"Entreprise","role":"Poste","participants":"Nombre de participants (estimé)","trainings":"Formations souhaitées","format":"Format préféré","formats":{"online":"Distanciel (Visio)","onsite":"Présentiel (Vos locaux)","hybrid":"Hybride"},"message":"Message (contexte, objectifs, dates souhaitées...)","submit":"Recevoir mon devis","submitting":"Envoi en cours...","success":{"title":"Demande reçue !","message":"Merci de votre intérêt. Notre équipe va étudier votre demande et vous enverra une proposition sous 24-48h.","button":"Retour à l'accueil"}}}},"now":"$undefined","timeZone":"Europe/Paris","children":["$","div",null,{"className":"flex min-h-screen flex-col","children":["$L1d",["$","main",null,{"className":"flex-1","children":["$","$L2",null,{"parallelRouterKey":"children","error":"$undefined","errorStyles":"$undefined","errorScripts":"$undefined","template":["$","$L3",null,{}],"templateStyles":"$undefined","templateScripts":"$undefined","notFound":"$undefined","forbidden":"$undefined","unauthorized":"$undefined"}]}],["$","footer",null,{"className":"bg-gray-50 border-t","children":["$","div",null,{"className":"container py-12 md:py-16","children":[["$","div",null,{"className":"grid grid-cols-1 md:grid-cols-4 gap-8","children":[["$","div",null,{"className":"space-y-4","children":["$L1e",["$","p",null,{"className":"text-sm text-gray-500","children":"Formation et conseil en Intelligence Artificielle pour les entreprises et les professionnels."}]]}],["$","div",null,{"children":[["$","h3",null,{"className":"font-semibold mb-4","children":"Formations"}],["$","ul",null,{"className":"space-y-2 text-sm text-gray-500","children":[["$","li",null,{"children":"$L1f"}],["$","li",null,{"children":"$L20"}],["$","li",null,{"children":"$L21"}]]}]]}],["$","div",null,{"children":[["$","h3",null,{"className":"font-semibold mb-4","children":"Entreprise"}],"$L22"]}],"$L23"]}],"$L24"]}]}],"$L25"]}]}] 2d:I[40030,["/_next/static/chunks/e70cf233ca02384a.js","/_next/static/chunks/c72270908abd0eb3.js","/_next/static/chunks/d27307698ed538b1.js"],"CookieConsent"] 34:I[29748,["/_next/static/chunks/e70cf233ca02384a.js","/_next/static/chunks/c72270908abd0eb3.js","/_next/static/chunks/d27307698ed538b1.js"],"LanguageSwitcher"] 22:["$","ul",null,{"className":"space-y-2 text-sm text-gray-500","children":[["$","li",null,{"children":"$L26"}],["$","li",null,{"children":"$L27"}],["$","li",null,{"children":"$L28"}]]}] 23:["$","div",null,{"children":[["$","h3",null,{"className":"font-semibold mb-4","children":"Légal"}],["$","ul",null,{"className":"space-y-2 text-sm text-gray-500","children":[["$","li",null,{"children":"$L29"}],["$","li",null,{"children":"$L2a"}],["$","li",null,{"children":"$L2b"}],["$","li",null,{"children":"$L2c"}]]}]]}] 24:["$","div",null,{"className":"mt-12 pt-8 border-t text-center text-sm text-gray-500","children":["© ",2025," Ikasia.ai. Tous droits réservés."]}] 25:["$","$L2d",null,{}] a:[["$","meta","0",{"charSet":"utf-8"}],["$","meta","1",{"name":"viewport","content":"width=device-width, initial-scale=1"}]] 1d:["$","header",null,{"className":"sticky top-0 z-50 w-full border-b bg-background/95 backdrop-blur supports-[backdrop-filter]:bg-background/60","children":["$","div",null,{"className":"container flex h-16 items-center justify-between","children":[["$","div",null,{"className":"flex items-center","children":"$L2e"}],["$","nav",null,{"className":"hidden md:flex gap-6 items-center","children":["$L2f","$L30","$L31","$L32","$L33"]}],["$","div",null,{"className":"flex items-center gap-4","children":[["$","$L34",null,{}],"$L35"]}]]}]}] 1e:["$","$L1a",null,{"ref":"$undefined","href":"/fr","locale":"$undefined","localeCookie":"$e:props:localeCookie","className":"inline-block","children":["$","$Lf",null,{"src":"/images/logo.jpg","alt":"Ikasia Logo","width":300,"height":100,"className":"w-64 h-auto"}]}] 1f:["$","$L1a",null,{"ref":"$undefined","href":"/fr/formations","locale":"$undefined","localeCookie":"$e:props:localeCookie","className":"hover:text-primary","children":"Stratégie IA"}] 20:["$","$L1a",null,{"ref":"$undefined","href":"/fr/formations","locale":"$undefined","localeCookie":"$e:props:localeCookie","className":"hover:text-primary","children":"IA pour Managers"}] 21:["$","$L1a",null,{"ref":"$undefined","href":"/fr/formations","locale":"$undefined","localeCookie":"$e:props:localeCookie","className":"hover:text-primary","children":"Data Science Bootcamp"}] 26:["$","$L1a",null,{"ref":"$undefined","href":"/fr/a-propos","locale":"$undefined","localeCookie":"$e:props:localeCookie","className":"hover:text-primary","children":"À propos"}] 27:["$","$L1a",null,{"ref":"$undefined","href":"/fr/blog","locale":"$undefined","localeCookie":"$e:props:localeCookie","className":"hover:text-primary","children":"Blog"}] 28:["$","$L1a",null,{"ref":"$undefined","href":"/fr/contact","locale":"$undefined","localeCookie":"$e:props:localeCookie","className":"hover:text-primary","children":"Contact"}] 29:["$","$L1a",null,{"ref":"$undefined","href":"/fr/legal/mentions-legales","locale":"$undefined","localeCookie":"$e:props:localeCookie","className":"hover:text-primary","children":"Mentions Légales"}] 2a:["$","$L1a",null,{"ref":"$undefined","href":"/fr/legal/confidentialite","locale":"$undefined","localeCookie":"$e:props:localeCookie","className":"hover:text-primary","children":"Confidentialité"}] 2b:["$","$L1a",null,{"ref":"$undefined","href":"/fr/legal/cookies","locale":"$undefined","localeCookie":"$e:props:localeCookie","className":"hover:text-primary","children":"Cookies"}] 2c:["$","$L1a",null,{"ref":"$undefined","href":"/fr/legal/cgv","locale":"$undefined","localeCookie":"$e:props:localeCookie","className":"hover:text-primary","children":"CGV"}] 2e:["$","$L1a",null,{"ref":"$undefined","href":"/fr","locale":"$undefined","localeCookie":"$e:props:localeCookie","className":"flex items-center space-x-2","children":["$","div",null,{"className":"h-10 overflow-hidden flex items-end","children":["$","$Lf",null,{"src":"/images/logo.jpg","alt":"Ikasia Logo","width":200,"height":200,"className":"w-auto h-24 object-cover object-bottom -mb-2"}]}]}] 2f:["$","$L1a",null,{"ref":"$undefined","href":"/fr/formations","locale":"$undefined","localeCookie":"$e:props:localeCookie","className":"text-sm font-medium hover:text-primary transition-colors","children":"Formations"}] 30:["$","$L1a",null,{"ref":"$undefined","href":"/fr/ateliers","locale":"$undefined","localeCookie":"$e:props:localeCookie","className":"text-sm font-medium hover:text-primary transition-colors","children":"Ateliers"}] 31:["$","$L1a",null,{"ref":"$undefined","href":"/fr/a-propos","locale":"$undefined","localeCookie":"$e:props:localeCookie","className":"text-sm font-medium hover:text-primary transition-colors","children":"À propos"}] 32:["$","$L1a",null,{"ref":"$undefined","href":"/fr/blog","locale":"$undefined","localeCookie":"$e:props:localeCookie","className":"text-sm font-medium hover:text-primary transition-colors","children":"Blog"}] 33:["$","$L1a",null,{"ref":"$undefined","href":"/fr/contact","locale":"$undefined","localeCookie":"$e:props:localeCookie","className":"text-sm font-medium hover:text-primary transition-colors","children":"Contact"}] 35:["$","$L1a",null,{"ref":null,"href":"/fr/contact","locale":"$undefined","localeCookie":"$e:props:localeCookie","children":"Contact","data-slot":"button","className":"items-center justify-center gap-2 whitespace-nowrap rounded-md text-sm font-medium transition-all disabled:pointer-events-none disabled:opacity-50 [&_svg]:pointer-events-none [&_svg:not([class*='size-'])]:size-4 shrink-0 [&_svg]:shrink-0 outline-none focus-visible:border-ring focus-visible:ring-ring/50 focus-visible:ring-[3px] aria-invalid:ring-destructive/20 dark:aria-invalid:ring-destructive/40 aria-invalid:border-destructive bg-primary text-primary-foreground hover:bg-primary/90 h-9 px-4 py-2 has-[>svg]:px-3 hidden md:inline-flex"}] 36:I[98433,["/_next/static/chunks/b292ef59945299fb.js","/_next/static/chunks/db1ed03dad8fa1ad.js"],"IconMark"] c:[["$","title","0",{"children":"L'essor des Small Language Models (SLM) : L'IA embarquée sur mobile | Blog Ikasia"}],["$","meta","1",{"name":"description","content":"Pourquoi utiliser un modèle géant quand un petit suffit ? Les SLM (Phi-3, Gemma, Llama 3 8B) révolutionnent l'IA en local. Avantages : vie privée, latence et coût."}],["$","meta","2",{"property":"og:title","content":"L'essor des Small Language Models (SLM) : L'IA embarquée sur mobile"}],["$","meta","3",{"property":"og:description","content":"Pourquoi utiliser un modèle géant quand un petit suffit ? Les SLM (Phi-3, Gemma, Llama 3 8B) révolutionnent l'IA en local. Avantages : vie privée, latence et coût."}],["$","meta","4",{"property":"og:type","content":"article"}],["$","meta","5",{"property":"article:published_time","content":"2025-07-18"}],["$","meta","6",{"property":"article:author","content":"Sophie Laurent"}],["$","meta","7",{"property":"article:tag","content":"SLM"}],["$","meta","8",{"property":"article:tag","content":"Edge AI"}],["$","meta","9",{"property":"article:tag","content":"Mobile"}],["$","meta","10",{"name":"twitter:card","content":"summary"}],["$","meta","11",{"name":"twitter:title","content":"L'essor des Small Language Models (SLM) : L'IA embarquée sur mobile"}],["$","meta","12",{"name":"twitter:description","content":"Pourquoi utiliser un modèle géant quand un petit suffit ? Les SLM (Phi-3, Gemma, Llama 3 8B) révolutionnent l'IA en local. Avantages : vie privée, latence et coût."}],["$","link","13",{"rel":"icon","href":"/favicon.ico?favicon.0b3bf435.ico","sizes":"256x256","type":"image/x-icon"}],["$","$L36","14",{}]] 8:null