Using Agent Trajectories to Mine Data for Model Distillation and Eval
hwchase17 · x · 2026-08-15
This post discusses how companies can use Trajectories generated by agents to mine knowledge and data for improvement. Key use cases include:
- Distillation: Finding good examples in traces to train smaller, cheaper models.
- Environment Creation: Building tasks and simulated environments based on real-world input data; these evals can double as training data for RL.
- Human Reporting: Agents can make sense of noisy data and generate HTML reports to analyze their performance over the past week.
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