Agent Evaluation Metric for multi-turn conversations
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What happened
Multi-turn agents fail in ways single-turn evaluation misses: one early mistake corrupts every later turn. This post introduces the Agent Evaluation Metric (AEM), a decomposable, turn-level way to measure agent quality, applied to its first dimension, correctness, to pinpoint the turn that caused a failure and separate it from the turns that inherited it.
Summary assembled by rule from the sources below
Why it's spreading
Sources
Official
- Agent Evaluation Metric for multi-turn conversationsAWS Machine Learning