Edge Device Models

Daniel discusses the creation of frameworks like Tensorflow Lite that allow models to be run on edge devices. He explains how the converter and interpreter tools simplify the process of distilling and optimizing models for execution. Additionally, he touches on the significance of model compression techniques such as quantization and pruning.