LLM-as-Judge: Scoring Free-Text Predictions Against AI Agent Actions
Exact-match scoring fails when evaluating natural language predictions against structured AI agent actions. This guide explores building a semantic LLM judge to bridge the gap between human guesses and tool-based outcomes, using a multi-component rubric for tool, action, and reasoning matches.