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1. 什么是 Residual Quantization？ Residual Quantization (RQ) 是一种向量量化方法，通过多阶段逐步量化向量的残差来实现高精度的向量表示。其核心思想是将一个高维向量分解为多个较低精度的向量的和，每个阶段负责量化前一阶段未能捕捉到的残差部分。这种方法能够显著降低量化误差，提高表示的准确性。 主要特点 多阶段量化：通过多个量化步骤逐步逼近原始向量。
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