Observability and Evals for AI Agents: A Simple Breakdown
From the video description
- You don't know what your agents will do until you actually run them — which means agent observability is different and more important than software observability - Agents often do complex, open-ended tasks, which means evaluating them is different than evaluating software - Because traces document where agent behavior emerges, they power evaluation in a multitude of ways
Topics
Sources
Video by LangChain, played through YouTube.
- Indie Picks
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