#AIOptimization

Introduction Model distillation and compression tooling helps AI teams reduce model size, improve inference speed, lower memory usage, cut serving costs, and make models easier to deploy on CPUs, GPUs, edge devices, mobile devices, and production servers. These tools are used to optimize machine learning models through techniques such as quantization, pruning, knowledge distillation, sparsity, … Read more