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Více informací o knize Retrieval Augmented Generation (RAG) Using Python

• Parametry knihy
• Anotace
• Oblíbené z jiného soudku

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Anotace knihy

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.

Parametry knihy

• Plný název: Retrieval Augmented Generation (RAG) Using Python
• Autor: Hawkings J Crowd
• Jazyk: Angličtina
• Vazba: Brožovaná
• Počet stran: 124
• EAN: 9798307943434
• ID: 48008856
• Nakladatelství: Amazon Digital Services LLC - Kdp
• Hmotnost: 186 g
• Rozměry: 234 × 156 × 7 mm
• Datum vydání: 22. January 2025

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