Unlocking Data with Generative AI and RAG : Enhance generative AI systems by integrating internal data with large language models using RAG
Leverage cutting-edge generative AI techniques such as RAG to realize the potential of your data and drive innovation as well as gain strategic advantage. Key Features: Optimize data retrieval and generation using vector databases. Boost decision-making and automate workflows with AI agents. Overcom...
Uloženo v:
| Hlavní autor: | Bourne, Keith |
|---|---|
| Další autoři: | Es, Shahul (Autor úvodu atd.) |
| Médium: | Livre numérique |
| Jazyk: | Anglais |
| Vydáno: |
Birmingham :
Packt Publishing
2024.
Paris : Cyberlibris |
| On-line přístup: | Accès Université d'Orléans et IFPM |
| Poznámka: |
Couverture. https://static2.cyberlibris.com/books_upload/136pix/9781835887912.jpg Cyberlibris (ScholarVox) corpus Informatique |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Unlocking Data with Generative AI and RAG, Enhance generative AI systems by integrating internal data with large language models using RAG, Keith Bourne, [Foreword by Shahul Es], Birmingham, Packt Publishing, 2024, 1 vol. (346 p.), 978-18-3588-790-5 |
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