Model quantization represents model weights, activations, or cache values with fewer bits to reduce memory traffic, storage, energy, and often inference latency. This guide explains the mechanism, ...
The general definition of quantization states that it is the process of mapping continuous infinite values to a smaller set of discrete finite values. In this blog, we will talk about quantization in ...
No matter how many bits an analog-to-digital converter (ADC) provides, the digital output can only approximate the original signal. This approximation gives rise to ...
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