AgentsMachine Learning15 min reading time

The Most Common Questions About Agent Evals, Answered

LangChain
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LangChain's LangSmith platform addresses the challenges of testing AI agents by using agent evals that score agent runs accounting for variability in outputs and paths. It guides teams to start testing by analyzing agent traces, focusing on key behaviors, building small datasets, and running baseline experiments to improve agent performance.

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