Stop Ranking Agent Configs by Average Score
Towards Data Science
The article argues that ranking agent configurations by average score is flawed and proposes using best-worst comparisons, MaxDiff-style judging, and Plackett-Luce utility scores instead. These methods provide a clearer framework for deciding which configs to deploy, remove, or prioritize next.
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