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      <description>模型越大越好是一个粗糙的直觉，实际工程中需要在计算预算、数据配比、模型容量之间找到最优平衡。本文讲解scaling law的核心公式与迁移规律、数据混合配比的经验法则、训练曲线异常诊断、以及VLA模型训练中的数据预处理Pipeline与curriculum learning策略。</description>
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