Pruning

Pruning vs. Quantization vs. Distillation: How to Pick the Right Compression Technique for Your Edge AI Project

This article explores three key AI model compression techniques for edge deployments: pruning, quantization, and knowledge distillation. It details their mechanisms, trade-offs, and offers a decision framework to help developers choose the optimal method based on critical constraints like memory, latency, and accuracy.