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Building Generative AI Applications with Open-source Libraries: Practical guide to implementing large language models (English Edition)
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Mastering Deep Learning with PyTorch: A Practical Guide to Building AI Models, Neural Networks, CNNs, and Reinforcement Learning for Real-World Applications
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ARTIFICIAL INTELLIGENCE FOR DEVELOPERS: Practical Techniques for Building AI-Powered Applications
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Haystack in Action: Building Next-Gen AI Applications for Real-World Use Cases
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Building Neo4j-Powered Applications with LLMs: Create LLM-driven search and recommendations applications with Haystack, LangChain4j, and Spring AI
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Generative AI with LangChain and RAG: Your Hands-On Developer’s Blueprint to Building Intelligent Applications
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Mastering DeepSeek AI and R1: Building Cost-Effective, Powerful AI Solutions: Creating Scalable, Intelligent Systems with Advanced AI Models and Practical Applications
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AI FOR EVERYONE: A BEGINNER'S HANDBOOK TO BUILDING INTELLIGENT APPLICATIONS
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The Power Of Gemini Ai: Building Intelligent Applications with Python and the Gemini SDK (Unlocking Google Gemini AI)
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AI Engineering and the Art of Building Intelligent Systems: Leveraging Foundation Models for Scalable, Real-World Applications
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Programming GPTs: A practical guide to building intelligent applications with OpenAI
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Julia for Machine Learning and AI: Building High-Performance, Scalable, and Flexible Models for Modern AI Applications
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Building Intelligent Systems with RAG 2.0: Develop Next-Gen LLM Applications with LangChain, OpenAI, Pinecone, FAISS, Vector Databases, and LLMOps Tools
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Mastering LLM Prompt Engineering: A Developer’s Guide to Building Powerful AI Applications: Master GPT-3, GPT-4, and Other Language Models with Proven Prompting Techniques for Scalable Solutions
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