27min chapter

Machine Learning Street Talk (MLST) cover image

Patrick Lewis (Cohere) - Retrieval Augmented Generation

Machine Learning Street Talk (MLST)

CHAPTER

Human-AI Collaboration and Retrieval-Augmented Generation

This chapter investigates the integration of human feedback in AI systems to enhance collaboration and performance. It covers the evolution and complexities of Retrieval Augmented Generation (RAG) in question-answering frameworks, emphasizing real-time improvements through effective user interaction. The discussion highlights the balance between model fidelity and retrieval accuracy, offering insights into the future of conversational agents and their design challenges.

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