Why ‘Structure’ Is All You Need: A Deep Dive into Next-Gen AI Retrieval
The Data Exchange with Ben Lorica
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Understanding the Hallucination Problem in AI and RAG
This chapter explores Retrieval-Augmented Generation (RAG) and its impact on AI, addressing misconceptions about language models and their tendency to generate inaccurate information. The discussion emphasizes the role of data labelers in shaping AI interactions and the importance of proper model design.
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