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| ## Installation <a class="anchor" name="installation"></a> | ||
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| ### Création d'un environnement virtuel python <a class="anchor" name="python"></a> |
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En vrai moi j'aurais pas mis le détail d'installation de Python 3.10 sous Linux, c'est juste un pré-requis, et y a sûrement plein d'articles qui parlent spécifiquement de ça.
Tu dis juste qu'il faut Python 3.10 avec les venv dispo
fabien33700
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csimonDM
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| ## Introduction <a class="anchor" name="introduction"></a> | ||
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| Ce tutoriel a pour but de voir comment l'on peut assez facilement implémenter une **intelligence artificielle** dans nos projets. On prendra ici **Vue 3** pour la partie client et **Node.js** pour la partie serveur, mais ce tutoriel peut assez simplement être adapté à d'autres outils (surtout pour la partie client si vous utilisez également **JavaScript** ou **TypeScript**). |
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proposition
'mais ce tutoriel peut être facilement adapté à d’autres frameworks ou langages.'
| - [Mise en place du client Vue 3](#vue3) | ||
| - [Ressources](#ressources) | ||
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| ## Introduction <a class="anchor" name="introduction"></a> |
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'implémenter une intelligence artificielle'
ou 'interagir avec une IA'
je trouve la phrase assez vague (après peut etre que moi)
| categories: langchain Vue 3 Node.js llama ollama | ||
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| Nous partageons ici un tutoriel pour faire fonctionner simplement une **intelligence artificielle** avec **langchain**, **Llama**/**DeepSeek**, **Node.js** et **Vue 3**. |
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"Nous partageons ici un tutoriel" → "Ce tutoriel explique comment" (plus direct).
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New article on how to implement a LLM model locally with Langchain and Ollama and then request it in your project