Llm, Knowledge Distillation, Quantization, Online Advertising, AI.
model’s parameter count. Quantization, on the other hand, involves representing weights and activations with fewer bits, such as converting weights from FP32 to lower precision formats like FP16 or even INT8, which decreases computational overhead during inference. For example, a BART large model