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LLaMA 3 , DeepSeek , Mistral , Mixtral , QwQ , Phi-2 , MedLlama2 , Granite3.2 ve CodeLlama ile çalışacak; doğal dil işleme (NLP), metin üretimi, kod tamamlama, hata ayıklama, belge analizi, duygu analizi ve yapay zeka destekli otomasyon konularında uzmanlık kazanacaksınız. Kurs, gerçek dünya uygulamalarıyla doludur. Yapay zeka destekli bir haber özetleyici geliştirecek, metin düzeltme aracı oluşturacak, müşteri destek sohbet botu yazacak ve iş otomasyonu için akıllı bir asistan kuracaksınız. Her proje, FastAPI , Python , Ollama ve REST API’leri ile tam yığın geliştirme becerileri kazanmanıza yardımcı olacak. Ayrıca, gerçek zamanlı verileri API'lar aracılığıyla almayı ve işlemeyi öğreneceksiniz. Bu sayede haber özetleme aracı, finansal rapor analizörü ve işe alım süreçlerini otomatikleştiren başvuru filtreleyici gibi uygulamalar geliştireceksiniz. Kursun sonunda, metin işleme, doğal dil anlama, chatbot geliştirme, otomasyon ve LLM tabanlı uygulamaları kapsayan projeler geliştirmiş olacaksınız. Yapay zeka modellerini başarı","sourceTitle":"[TR] Ollama ile Yapay Zeka: Llama, Deepseek, Mistral, QwQ","sourceDescription":"Ollama ile Tam Yığın Yapay Zeka: Llama, DeepSeek, Mistral, QwQ, Phi-2, MedLlama2, Granite3.2 , en yeni açık kaynak yapay zeka modelleriyle gerçek dünya uygulamaları geliştirmeyi ve dağıtmayı öğreten nihai uygulamalı yapay zeka geliştirme kursudur. İster yapay zekayı yeni keşfeden bir acemi, ister deneyimli bir geliştirici olun, bu kurs size büyük dil modellerini (LLM’ler) web uygulamalarına, otomasyon araçlarına ve ileri düzey çözümlere entegre etmenizi sağlayacak pratik projeler sunar. Kurs boyunca, güçlü yapay zeka modellerini pahalı bulut API'larına ihtiyaç duymadan yerel olarak çalıştırmak için Ollama’yı nasıl kuracağınızı, yapılandıracağınızı ve kullanacağınızı öğreneceksiniz. 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Ce cours est conçu pour vous faire passer du niveau débutant à développeur IA avancé, en mettant l’accent sur le traitement du langage naturel (NLP), les chatbots, l’automatisation et les applications intelligentes—le tout sans recourir aux services cloud ! DeepSeek AI est un puissant modèle open-source qui permet aux développeurs de travailler localement avec l’automatisation avancée, la génération de texte et les tâches NLP. Dans ce cours, vous réaliserez 25 projets concrets, en acquérant une expérience pratique de l’IA appliquée aux domaines professionnels, à la productivité, à l’automatisation et au développement logiciel. Ce que vous allez apprendre À la fin du cours, vous saurez : Installer et configurer DeepSeek AI sur votre machine locale. Construire des applications de traitement de texte avec IA : résumé, correction grammaticale, analyse de sentiments. Développer des chatbots intelligents et assistants virtuels pour le support client, l’e-commerce et la productivité personnelle. Automatiser des tâches courantes : rédaction d’e-mails, génération de CV, résumé de documents. Implémenter des outils de codage IA : compléteurs automatiques, débogueurs, générateurs SQL. Optimiser les modèles DeepSeek AI pour une exécution locale performante. Créer des applications IA pour l’analyse financière, le tri de candidatures, l’analyse de feedback client. Acquérir une solide expérience pratique du NLP et de l’automatisation en Python. Travailler sur des projets IA sans dépendre d’API cloud. À qui s’adresse ce cours ? Ce cours est idéal pour : Développeurs Python souhaitant intégrer l’IA dans leu","sourceTitle":"DeepSeek R1 IA : 25 projets concrets en IA pour débutants","sourceDescription":"Libérez la puissance de DeepSeek AI avec 25 projets pratiques Êtes-vous prêt à créer des applications d’IA concrètes avec DeepSeek AI ? Ce cours est conçu pour vous faire passer du niveau débutant à développeur IA avancé, en mettant l’accent sur le traitement du langage naturel (NLP), les chatbots, l’automatisation et les applications intelligentes—le tout sans recourir aux services cloud ! DeepSeek AI est un puissant modèle open-source qui permet aux développeurs de travailler localement avec l’automatisation avancée, la génération de texte et les tâches NLP. Dans ce cours, vous réaliserez 25 projets concrets, en acquérant une expérience pratique de l’IA appliquée aux domaines professionnels, à la productivité, à l’automatisation et au développement logiciel. Ce que vous allez apprendre À la fin du cours, vous saurez : Installer et configurer DeepSeek AI sur votre machine locale. Construire des applications de traitement de texte avec IA : résumé, correction grammaticale, analyse de sentiments. Développer des chatbots intelligents et assistants virtuels pour le support client, l’e-commerce et la productivité personnelle. Automatiser des tâches courantes : rédaction d’e-mails, génération de CV, résumé de documents. Implémenter des outils de codage IA : compléteurs automatiques, débogueurs, générateurs SQL. Optimiser les modèles DeepSeek AI pour une exécution locale performante. Créer des applications IA pour l’analyse financière, le tri de candidatures, l’analyse de feedback client. Acquérir une solide expérience pratique du NLP et de l’automatisation en Python. Travailler sur des projets IA sans dépendre d’API cloud. À qui s’adresse ce cours ? Ce cours est idéal pour : Développeurs Python souhaitant intégrer l’IA dans leu","editorial":{"title":"DeepSeek R1 IA: 25 projets concrets en IA pour débutants","hook":"Libérez la puissance de DeepSeek AI avec 25 projets pratiques Êtes-vous prêt à créer des applications d’IA concrètes avec DeepSeek AI ? 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Développer des chatbots intelligents et assistants virtuels pour le support client, l’e-commerce et la productivité personnelle. Automatiser des tâches courantes : rédaction d’e-mails, génération de CV, résumé de documents. Implémenter des outils de codage IA : compléteurs automatiques, débogueurs, générateurs SQL. Optimiser les modèles DeepSeek AI pour une exécution locale performante. Créer des applications IA pour l’analyse financière, le tri de candidatures, l’analyse de feedback client. Acquérir une solide expérience pratique du NLP et de l’automatisation en Python. Travailler sur des projets IA sans dépendre d’API cloud. À qui s’adresse ce cours ? 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