This tutorial discusses the use of TensorFlow Lite, a lightweight version of TensorFlow, for deploying machine learning models on edge devices such as smartphones and microcontrollers. It provides steps for installing TensorFlow Lite on various platforms, including Android, iOS, and Linux, as well as methods for getting and building a model, including using pretrained models, training custom models with TensorFlow, and converting existing TensorFlow models to TensorFlow Lite. The tutorial also covers how to run inference on the model using the TensorFlow Lite interpreter and provides an overview of the differences between TensorFlow and TensorFlow Lite. Ultimately, it aims to help developers get up and running with TensorFlow Lite for deploying machine learning models on edge devices.