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si l'IA \u00e9tait plus accessible que ce qu'on pensait ? D\u00e9couvrons ensemble comment l'Open Source a d\u00e9mocratis\u00e9 l'intelligence artificielle.","_yoast_wpseo_title":"IA et Open Source : comment rendre accessible l'intelligence artificielle ?","contenu_de_larticle":"Et si l'IA \u00e9tait plus accessible que ce qu'on pensait ?\r\n\r\nJe vous en parlais dans <a href=\"https:\/\/www.emil.school\/articles\/inconvenients-intelligence-artificielle\">cet article<\/a>, les inconv\u00e9nients de l'intelligence artificielle sont nombreux.\r\n\r\nAlors tout de suite, vous vous dites \"On ne peut juste pas utiliser tout \u00e7a, c'est fini, c'est r\u00e9serv\u00e9 \u00e0 une poign\u00e9e d'\u00e9lites.\"\r\n\r\nJ'ai une bonne nouvelle pour vous. Et cette bonne nouvelle ce sont <strong>les outils open source d'intelligence artificielle<\/strong>. Ces nouvelles solutions d\u00e9mocratisent la pratique et permettent de s'en sortir sans avoir suivi un PHD en data science \u00e0 Stanford.\r\n\r\n\u200d\r\n<h2>La popularit\u00e9 de Python permet le d\u00e9veloppement de librairies d'IA open source<\/h2>\r\nPython est le langage par excellence de l'intelligence artificielle. Et c'est aussi le 2e langage de programmation le plus utilis\u00e9 au monde !\r\n\r\nD'abord, sa syntaxe tr\u00e8s simple le rend <strong>accessible<\/strong> par des personnes sans profil ing\u00e9nieur. Ensuite, il est <strong>flexible<\/strong> : en tant que langage dynamique, aucune r\u00e8gle fig\u00e9e ne bride le d\u00e9veloppement de fonctionnalit\u00e9s ou la r\u00e9solution de probl\u00e8mes. Enfin, de par sa popularit\u00e9, on trouve <strong>quantit\u00e9 de ressources pour \u00e9viter de partir de z\u00e9ro<\/strong>, comme les fameuses <strong>librairies d'IA open source<\/strong>.\r\n\r\nCes fameuses librairies de deep learning recensent plusieurs algorithmes, propos\u00e9s en open source, par des acteurs plus avanc\u00e9s sur ces sujets.\r\n\r\nTensorFlow et Pytorch sont les plus connues, tandis que d'autres librairies plus sp\u00e9cifiques font aussi leur apparition, comme Huggingface, la librairie nlp (traitement du langage), Prohet pour la pr\u00e9diction de s\u00e9ries temporelles par Facebook ou encore l'algorithme H3 de g\u00e9olocalisation d'Uber.\r\n\r\nGr\u00e2ce \u00e0 cette technologie, vous acc\u00e9dez \u00e0 un tr\u00e8s grand nombre d'algorithmes d\u00e9j\u00e0 entra\u00een\u00e9s pour vous !\r\n<h2>Google propose sa librairie IA en open source pour acc\u00e9l\u00e9rer son apprentissage<\/h2>\r\nMais pourquoi les entreprises mettent-elles gratuitement leurs librairies \u00e0 disposition ? Revenons sur l'exemple de TensorFlow.\r\n\r\nAujourd\u2019hui, les smartphones et les ordinateurs actuels ont un niveau d\u2019intelligence \u00e9quivalent \u00e0 celui d\u2019un enfant de 4 ans, et Google souhaite faire \u00e9voluer l\u2019IA rapidement. C\u2019est pourquoi, l'entreprise a mis en open source TensorFlow, leur outil d\u2019IA, en esp\u00e9rant que <strong>les d\u00e9veloppeurs du monde entier le fassent \u00e9voluer<\/strong>.\r\n\r\nSi seules les \u00e9quipes de Google utilisaient TensorFlow alors ils seraient d\u00e9j\u00e0 capables d\u2019entrainer X fois l\u2019algorithme tous les jours. Mais si des centaines d'applications l'utilisent en plus de Google, c\u2019est autant de nouvelles possibilit\u00e9s d\u2019entrainements et donc une \u00e9volution beaucoup plus rapide..\r\n\r\nLes \u00e9quipes de Google l'utilisent notamment pour la reconnaissance vocale dans l\u2019application Google, pour Smart Reply dans Inbox pour Gmail, pour la recherche dans Google Photos et dans la recherche web avec RankBrain.\r\n\r\nIl s'agit d'une librairie cod\u00e9e en Python qui fournit une API pour les utilisateurs qui voudraient utiliser des techniques de machine learning. Ce sont en fait des fonctions math\u00e9matiques et de m\u00e9thodes de calcul qui permettent de d\u00e9velopper des fonctions d\u2019apprentissage par la machine \u00e0 adapter \u00e0 chaque cas de figure.\r\n<h2>Deux options pour utiliser les algorithmes open source d'intelligence artificielle<\/h2>\r\nUne fois que vous acc\u00e9dez \u00e0 la librairie d'IA open source, vous avez deux options.\r\n\r\n<strong>Soit vous utilisez un algorithme d\u00e9j\u00e0 entra\u00een\u00e9.<\/strong>\r\n\r\nPar exemple, si vous souhaitez diff\u00e9rencier des chiens et des chats, vous pouvez facilement utiliser un algorithme existant.\r\n\r\n<strong>Soit vous utilisez le t<em>ransfert learning<\/em>.<\/strong>\r\n\r\nVous utilisez un algorithme entra\u00een\u00e9 pour une t\u00e2che qui n'est pas forc\u00e9ment la m\u00eame que celle pour laquelle il a \u00e9t\u00e9 cr\u00e9\u00e9. Vous allez donc l'entra\u00eener pour votre cas sp\u00e9cifique.\r\n\r\nSi un algorithme peut reconna\u00eetre des objets sur une image, alors il peut aussi distinguer des voitures jaunes de voitures rouges.\r\n\r\nPar exemple, les algorithmes GPT 3 dont je parlais dans cet article comprennent globalement le texte et peuvent donc \u00eatre utilis\u00e9s pour de la traduction, de la r\u00e9daction de r\u00e9sum\u00e9 ou de la pr\u00e9diction de mots.\r\n<h2>Les logiciels d'analyse constituent un premier pas vers l'intelligence artificielle<\/h2>\r\nAujourd'hui, vous pouvez d\u00e9j\u00e0 utiliser des logiciels d'analyse pouss\u00e9e, comme <a href=\"https:\/\/www.dataiku.com\/\">Dataiku<\/a>, qui permettent de coordonner toutes les t\u00e2ches li\u00e9es \u00e0 l'intelligence artificielle : entra\u00eenement, pr\u00e9diction et mise \u00e0 disposition.\r\n\r\nL'objectif est de <strong>faciliter la mise en production<\/strong>.\r\n\r\nSi vous ne savez pas quel algorithme utiliser pour r\u00e9pondre \u00e0 votre probl\u00e9matique, ces outils permettent aussi de pratiquer l'<strong>auto Machine Learning<\/strong>. Vous leur indiquez simplement ce que vous cherchez \u00e0 faire et ils testent algorithmes et param\u00e8tres pour vous trouver la meilleure solution.\r\n\r\nToutefois, les logiciels d'analyse ne sont pas encore totalement accessibles aux plus novices.\r\n\r\nC'est pour cette raison que je vous pr\u00e9sente dans <a href=\"https:\/\/www.emil.school\/articles\/solutions-saas-intelligence-artificielle\">mon dernier article de la s\u00e9rie<\/a>, les solutions SaaS d\u00e9di\u00e9es \u00e0 l'intelligence artificielle r\u00e9ellement accessibles.\r\n\r\n\u200d","_contenu_de_larticle":"field_6412588b55814","titre_de_la_banniere":"","_titre_de_la_banniere":"field_6422eb732c237","paragraphe_de_la_banniere":"","_paragraphe_de_la_banniere":"field_6422ed834a968","intitule_du_bouton_de_la_banniere":"","_intitule_du_bouton_de_la_banniere":"field_6422ed934a969","lien_du_bouton_de_la_banniere":null,"_lien_du_bouton_de_la_banniere":null,"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v27.5 (Yoast SEO v27.5) - https:\/\/yoast.com\/product\/yoast-seo-premium-wordpress\/ -->\n<title>IA et Open Source : comment rendre accessible l&#039;intelligence artificielle ?<\/title>\n<meta name=\"description\" content=\"Et si l&#039;IA \u00e9tait plus accessible que ce qu&#039;on pensait ? 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