Unverified50% confidenceOpinionExact time

过于困难的任务可能引入噪声，产生噪声学习信号，反而干扰训练，最有效的学习发生在略高于当前能力但仍可企及的区域

1

Sources

50%

Confidence

Long-term

Relevance

8/25/2026

First Seen

Sources

The Post-Training Data Dilemma: Quantity vs. Quality? The Diminishing Marginal Returns of Synthetic Data

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Related Claims

UnverifiedAn excessively high learning rate causes loss oscillation that prevents convergence, while an excessively low one results in extremely slow learning — both are common root causes of ineffective training.74% similar Unverified上下文长度增加会引入更多噪音、稀释模型注意力，降低任务准确度71% similar

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