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Quantization is a crucial model optimization technique in machine learning that reduces the precision of numerical values like weights and activations, converting them from high-precision formats (such as 32-bit floating point) to lower-precision formats (like 8-bit integers). This process significantly reduces model size, memory usage, and ...
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