Building Data-Driven Applications with LlamaIndex : :: SCD d'Orléans

Building Data-Driven Applications with LlamaIndex : A practical guide to retrieval-augmented generation (RAG) to enhance LLM applications

Building Data-Driven Applications with LlamaIndex : A practical guide to retrieval-augmented generation (RAG) to enhance LLM applications

Solve real-world problems easily with artificial intelligence (AI) using the LlamaIndex data framework to enhance your LLM-based Python applications Key FeaturesExamine text chunking effects on RAG workflows and understand security in RAG app developmentDiscover chatbots and agents and learn how to...

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Dades bibliogràfiques
Autor principal:	Gheorghiu, Andrei
Format:	Livre numérique
Idioma:	Anglais
Publicat:	Birmingham : Packt Publishing 2024. Paris : Cyberlibris
Accés en línia:	Accès Université d'Orléans et IFPM
Nota:	Couverture. https://static2.cyberlibris.com/books_upload/136pix/9781805124405.jpg Cyberlibris (ScholarVox) corpus Informatique
Autres localisations:	Voir dans le Sudoc
Edition sous un autre format:	• Building Data-Driven Applications with LlamaIndex, A practical guide to retrieval-augmented generation (RAG) to enhance LLM applications, Andrei Gheorghiu, Birmingham, Packt Publishing, 2024, 1 vol. (368 p.), 978-18-3508-950-7

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