In this episode of "A Beginner's Guide to AI", Professor GePhardT delves into the fascinating world of retrieval-augmented generation (RAG). Discover how this cutting-edge technique enhances AI's ability to generate accurate and contextually relevant responses by combining the strengths of retrieval-based and generative models.
From a simple cake-baking example to a hypothetical medical case study, learn how RAG leverages real-time data to provide the most current and precise information. Join us as we explore the transformative potential of RAG and its implications for various industries.
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This podcast is generated with the help of ChatGPT and Claude 3. We do fact-check with human eyes but there still might be hallucinations in the output.
Music credit: "Modern Situations by Unicorn Heads"
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