Unverified50% confidenceTradeoffExact time
小模型对数据分布更敏感，同样的数据补充量在 4B 模型上的边际效果往往比大模型更明显，但也更容易过拟合或遗忘
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50%
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8/25/2026
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Unverified针对具体模型缺陷设计小批量高质量样本的做法被称为靶向数据工程，且小模型对数据分布比大模型更敏感75% similarUnverifiedThe cascading fallback mechanism automatically escalates requests to a more powerful model when the smaller model's output confidence falls below a preset threshold or is judged substandard by a quality evaluation model.71% similarUnverifiedFine-tuning allows a model to adjust its representations to better serve downstream tasks, but requires more labeled data and computational resources, and carries the risk of catastrophic forgetting.71% similarUnverified近似遗忘通过梯度上升等方法主动削弱特定数据对模型参数的影响，但效果难以量化验证70% similar
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