Quantization

Quantization is like shrinking a high‑resolution photo into a smaller file by reducing the number of colors, but for neural nets. It drops the precision of the numbers the model uses (e.g., from 32‑bit floats to 8‑bit integers) so the model runs faster and needs less memory. The trade‑off is a tiny dip in accuracy, but for many apps the speed gain is worth it.