What is Quantization-aware training?
Training that simulates quantization rounding so weights adapt to its error, preserving accuracy even at low bit widths.
Field: AI Hardware & Software Stack
Quantization-aware training in the explanations
Quantization-aware training simulates quantization rounding in the forward pass during training and adjusts weights with that error included, preserving accuracy even at precisions as low as 4 bits.
What is the difference between post-training quantization (…
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Related terms
Post-training quantization AI compiler AI inference All-reduce Arithmetic intensity Attention mechanism Backpropagation Batch size Computational graph Data parallelism