Weight Quantization
Noun · AI & Machine Learning
Definitions
Reducing the precision used to store or compute model weights so the model uses less memory and often runs faster. Weight quantization is a common technique for efficient deployment, especially on constrained hardware.
In plain English: Lowering weight precision to make a model smaller and often faster.
Example: "Weight quantization made the vision model small enough to run acceptably on the target edge device."