quantization-aware training
Quantization-aware training is a technique used in machine learning to train models that can handle quantization, a process of converting continuous values into a discrete set of levels. It involves training models with an awareness of eventual quantization to improve their performance when deployed on hardware with limited precision, such as edge devices or accelerators. By simulating the quantization process during training, the models learn to be more robust and accurate in their predictions, optimizing their behavior for the target hardware.
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