AI Evals, Part 2: Error Analysis The Unglamorous Superpower Behind Good Evals
A developer argues that error analysis—reading AI outputs and categorizing failures—is the most critical step in building effective evaluations, far more valuable than dashboards or generic metrics. The process involves …