Editore: Amazon Digital Services LLC - Kdp
ISBN 13: 9798306376912
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 22,00
Quantità: 2 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. Neuware - In today's data-driven world, businesses are increasingly reliant on applications that leverage vast amounts of knowledge. From customer service chatbots to personalized recommendations, these applications require efficient and scalable access to information.
Editore: Amazon Digital Services LLC - Kdp, 2025
ISBN 13: 9798306376912
Da: PBShop.store US, Wood Dale, IL, U.S.A.
EUR 20,78
Quantità: Più di 20 disponibili
Aggiungi al carrelloPAP. Condizione: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Editore: Amazon Digital Services LLC - Kdp, 2025
ISBN 13: 9798306376912
Da: PBShop.store UK, Fairford, GLOS, Regno Unito
EUR 20,22
Quantità: Più di 20 disponibili
Aggiungi al carrelloPAP. Condizione: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Editore: Independently Published, 2025
ISBN 13: 9798306376912
Da: CitiRetail, Stevenage, Regno Unito
EUR 24,04
Quantità: 1 disponibili
Aggiungi al carrelloPaperback. Condizione: new. Paperback. In today's data-driven world, businesses are increasingly reliant on applications that leverage vast amounts of knowledge. From customer service chatbots to personalized recommendations, these applications require efficient and scalable access to information.This book delves into the world of Retrieval Augmented Generation (RAG), a powerful technique that combines the strengths of information retrieval and large language models (LLMs). RAG enables applications to access and process relevant information from external sources, significantly enhancing their accuracy, relevance, and overall performance.Key takeaways: Master the fundamentals of RAG: Understand the core concepts, components, and benefits of this transformative approach.Optimize RAG performance: Explore techniques for efficient data retrieval, indexing, and LLM interaction to maximize speed and accuracy.Scale RAG systems: Learn how to design and implement scalable architectures to handle growing data volumes and user demands.Address real-world challenges: Discover practical solutions for common issues like data bias, hallucinations, and maintaining data freshness.Explore advanced topics: Dive deeper into cutting-edge research areas, such as hybrid search, multi-hop retrieval, and explainable RAG.This book is an invaluable resource for: Data scientists and machine learning engineersSoftware developers and architectsBusiness leaders and decision-makersAnyone interested in building cutting-edge knowledge-intensive applicationsBy mastering RAG, you can unlock the full potential of your data and build applications that are more intelligent, responsive, and user-centric. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.