Llm, AI, Deep Learning, Optimization.
training process itself. By incorporating quantization-related operations (scaling, clipping, and rounding) into the training process, QAT optimizes model weights to mitigate the potential accuracy loss associated with quantization. The remarkable aspect of QAT is that it eliminates the need for