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Beschreibung
This book provides a deep dive into the foundations of RAG, covering transformer architectures, vector similarity search, and the integration of retrieval techniques into generative models. Readers will learn to implement RAG using open-source
tools, explore real-world applications in chatbots, legal and medical document retrieval, and AI-assisted research, and address challenges like bias and misinformation.
Retrieval-Augmented Generation in Generative AI
Details
| Verlag | De Gruyter |
| Ersterscheinung | 03. August 2026 |
| Maße | 24 cm x 17 cm |
| Gewicht | 988 Gramm |
| Format | Softcover |
| ISBN-13 | 9783112226773 |
| Seiten | 582 |
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