Llm, AI, Deep Learning, Optimization.
separate calibration after the training process. The model undergoes calibration as part of training, allowing it to effectively adapt to the quantization constraints. Consequently, the model becomes ‘quantization-aware,’ ensuring that accuracy is preserved during real-world inference. PTQ vs QAT —