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Книга Retrieval Augmented Generation (RAG) Using Python Hawkings J Crowd

Retrieval Augmented Generation (RAG) Using Python

Автор: Hawkings J Crowd
Език: Английски език
Корици: С меки корици
Издател: Amazon Digital Services LLC - Kdp
Наличност: Външен склад
Изпращаме след 9-15 дни
16.12 € 31.53 лв
Harness the potential of Retrieval Augmented Generation (RAG) to build more robust and reliable AI a...

Информация за книгата

Автор
Hawkings J Crowd
Език
Английски език
Корици
Книга - С меки корици
Издадена
2025
страници
124
EAN
9798307943434
Enbook ID
48008856
Издател
Amazon Digital Services LLC - Kdp
Теглоt
186
Размери
156 x 234 x 7

Пълно описание

Harness the potential of Retrieval Augmented Generation (RAG) to build more robust and reliable AI applications. This book provides a comprehensive, hands-on approach to implementing RAG using Python, focusing on real-world NLP and AI use cases. You'll explore:

  • The core concepts of RAG and its advantages over traditional language models.
  • Practical Python implementations using popular libraries for NLP, vector databases, and large language model APIs.
  • Techniques for efficient information retrieval, including semantic search and vector embeddings.
  • Strategies for optimizing RAG pipelines for performance and accuracy.
  • Applications in question answering, chatbots, document summarization, and more.

Whether you're a seasoned developer or just starting with AI, this book equips you with the knowledge and skills to build powerful, context-aware applications with RAG.

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