Unlocking data with generative AI and RAG : enhance generative AI systems by integrating internal data with large language models using RAG

Unlocking data with generative AI and RAG enhance generative AI systems by integrating internal data with large language models using RAG

Generative AI is helping organizations tap into their data in new ways, with retrieval-augmented generation (RAG) combining the strengths of large language models (LLMs) with internal data for more intelligent and relevant AI applications. The author harnesses his decade of ML experience in this boo...

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Detalles Bibliográficos
Otros Autores: Bourne, Keith, author (author), Es, Shahul, writer of foreword (writer of foreword)
Formato: Libro electrónico
Idioma:Inglés
Publicado: Birmingham, UK : Packt Publishing Ltd 2024.
Edición:1st edition
Materias:
Natural language generation (Computer science)
Artificial intelligence > Computer programs.
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009853414106719

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