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#100 Dr. PATRICK LEWIS (co:here) - Retrieval Augmented Generation

Machine Learning Street Talk (MLST)

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Exploring Retrieval Augmented Generation

This chapter examines the intricacies of information-seeking dialogue and its role in enhancing AI-driven conversational interfaces. It focuses on Retrieval Augmented Generation (RAG), explaining how integrating retrieval mechanisms into language models improves contextual relevance and performance. The discussion includes the evolution of these systems, their operational complexities, and a case study on the Atlas project showcasing effective information retrieval.

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