Intro

This chapter explores the significant hurdles in evaluating AI models, highlighting the crucial role of generating effective evaluation sets and establishing feedback loops. It critiques the tendency to invest in tools rather than developing tailored solutions and emphasizes the vital contribution of human insights to improve assessment outcomes.

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