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Evaluating LLM Agents
From Observability to Continuous Improvement
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Evaluating LLM-Based Agents
LLM-based agents are multi-step and non-deterministic entities. Meaningful evaluation requires understanding why and how an agent arrived at a result.
Tools like Arize Phoenix provide structured mechanisms to visualize these behaviors.
