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#033 RAG's Biggest Problems & How to Fix It (ft. Synthetic Data)

How AI Is Built

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The Evolution of AI and User Intent

This chapter explores the transition from rule-based AI systems to the use of synthetic data for training, highlighting its significance in enhancing AI. It emphasizes the importance of understanding user intent to improve search systems and retrieval processes while discussing the challenges posed by biases and the limitations of traditional methods. The chapter also addresses the engineering mindset required for effective retrieval strategies, focusing on the need for clear evaluation benchmarks to distinguish between accurate and misleading outputs.

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