Quantization reduces the precision of numbers in machine learning models, shrinking their size and boosting speed. It converts high-precision weights to lower-bit formats, enabling efficient deployment on edge devices like smartphones and IoT hardware. Developers gain faster inference, while users enjoy smoother app performance.
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