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

Retrieval Augmented Generation (RAG) Using Python

Autor: Hawkings J Crowd
Limbă: engleză
Legare: Carte broșată
Editura: Amazon Digital Services LLC - Kdp
Disponibilitate: În depozitul extern
Expediem în 9-15 zile
88.76 lei
Harness the potential of Retrieval Augmented Generation (RAG) to build more robust and reliable AI a...

Informații despre carte

Autor
Hawkings J Crowd
Limbă
engleză
Legare
Carte - Carte broșată
Publicat
2025
Pagini
124
EAN
9798307943434
Enbook ID
48008856
Editura
Amazon Digital Services LLC - Kdp
Greutate
186
Dimensiuni
156 x 234 x 7

Descriere completă

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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