Llm, AI, Deep Learning, Optimization.
quantization. The loss function in QAT fine-tunes the model by considering these errors, further enhancing the model’s ability to maintain accuracy post-quantization. 1. Naive Quantization Naive quantization involves applying uniform quantization to all operators, leading to a uniform drop in model