Retrieval Augmented Generation (RAGs) | Think Tech #20

Welcome to "Think Tech," where we dive into the AI revolution, focusing on Retrieval Augmented Generation (RAGs). This episode explores how RAGs, blending neural language models with dynamic external data retrieval, are reshaping AI's information processing and interaction. We'll dissect RAGs' technical aspects, from embedding techniques to algorithms like BM25 and cosine similarity, and how they integrate retrieved data with existing knowledge for nuanced responses. Discover RAGs' wide-ranging applications in fields like customer service and medical diagnostics, and the challenges and ethics of their use. Tune in for an insightful look into RAGs, a frontier in AI technology. Subscribe and share for more tech insights, simplified.