SKU/Artículo: AMZ-B0D9FJCB92
RAG Application Development: A Hands-on Guide to Building Powerful, Factual, and Improved LLM Applications for Developers
Format:
Kindle
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Fuera de stock
Fuera de stock
Peso con empaque:
0.79 kg
0.79 kg
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Sí
Sí
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Nuevo
Nuevo
Producto de:
Amazon
Amazon
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USA
USA
Sobre este producto
- Are you tired of struggling to create applications that deliver accurate, contextually relevant, and engaging content? Have you faced challenges with traditional models that fall short in meeting the dynamic needs of users? The world of Natural Language Processing (NLP) is rapidly evolving, and staying ahead requires leveraging cutting-edge technology that can handle complex queries and generate precise, informative responses.The Solution You've Been Waiting For!Introducing RAG Application Development: A Hands-on Guide to Building Powerful, Factual, and Improved LLM Applications for Developers. This book is your comprehensive resource for mastering Retrieval-Augmented Generation (RAG) models, the game-changing technology that combines the strengths of retrieval and generation to produce superior NLP applications. Authored by an expert with extensive experience in NLP and AI, this book combines theoretical insights with practical, hands-on examples. In this book, you will discover:How to effectively implement RAG models to overcome the limitations of traditional models, ensuring your applications are both powerful and reliable.Step-by-step guidance on setting up, fine-tuning, and deploying RAG models, tailored to meet specific domain needs.Advanced techniques for customizing and optimizing your models, ensuring they deliver high-quality, contextually accurate content consistently.Who This Book Is ForWhether you're an experienced developer, an AI enthusiast, or a data scientist looking to enhance your NLP skills, this book is designed for you. It caters to professionals eager to harness the power of RAG models to build cutting-edge applications that stand out in a competitive landscape.Benefits You'll GainMaster the fundamentals and advanced aspects of RAG models.Build robust question-answering systems, summarization tools, and content generation applications.Customize models for specific domains, enhancing relevance and accuracy.Evaluate and improve your applications continuously with industry-standard metrics.Gain practical insights from real-world examples and comprehensive code samples. Get your copy today and unlock your gateway to creating applications that are not only powerful but also contextually rich and highly accurate.
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