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AI Glossary Series: Retrieval Augmented Generation (RAG) [AI Today Podcast]
AI Today Podcast: Artificial Intelligence Insights, Experts, and Opinion
Retrieval Augmented Generation (RAG) Systems
This chapter discusses how Retrieval Augmented Generation (RAG) systems work by querying a database to combine relevant information with a user's query, and then generating a response using a large language model (LLM) system. It also highlights the benefits and challenges of RAG compared to fine-tuning LLMs and prompt engineering.
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