Agent Training: Volume vs. Focusing on Weaknesses
trashnash007 · reddit · 2026-08-21
The author explores data strategies for post-training AI agents, noting that generating large volumes of semantically similar synthetic trajectories doesn't yield significant learning improvements. Citing Parsewave's approach, the author suggests focusing on more challenging tasks and identifying effective samples that demonstrate specific agent failures with solutions.
The post asks developers: when building training sets, should you prioritize data volume or focus on addressing the agent's weaknesses?
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