To get the most out of AI, optimizations are critical. When developers think about optimizing AI models for inference, model compression techniques��such as quantization, distillation, and pruning��typically come to mind. The most common of the three, without a doubt, is quantization. This is typically due to its post-optimization task-specific accuracy performance and broad choice of supported��
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