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

How AI Is Built

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Advancements in Synthetic Data and AI Models

This chapter examines the progress in synthetic data and the use of specialized embedding models that operate efficiently with fewer parameters. It underscores the critical role of explainability in AI classification methods and stresses that AI should enhance existing processes rather than present itself as a panacea. Additionally, the chapter discusses tools and resources for building systems with synthetic data, highlighting the importance of creating 'golden datasets' and utilizing varied evaluation metrics to accurately assess model performance.

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