Unverified50% confidenceFactExact time
After scaling the training data by 100 times, both agent fidelity and object fidelity improved, but object fidelity is far lower than agent fidelity and improves much more slowly.
1
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50%
Confidence
Long-term
Relevance
10/12/2026
First Seen
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Related Claims
UnverifiedThe number of training epochs directly affects recognition performance; the more thorough the training, the higher the detection accuracy, and it is recommended to increase the number of training epochs to 20, 50, or even 10069% similarUnverifiedTurning agent skill optimization into an iterative, evaluable engineering workflow helps improve reproducibility and measurability, at lower cost, with faster iteration, and without relying on retraining the base model.67% similarUnverifiedMoving data quality inspection to before training can significantly improve experimental efficiency, avoiding the need to trace back to data after tens of hours of training only to discover policy anomalies.67% similar
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