LiteRT is the successor to TensorFlow Lite and provides an efficient on-device inference runtime for deploying machine learning and generative AI models to edge devices. It offers model conversion tools to optimize neural networks for constrained environments, a runtime engine for efficient execution, and various optimization techniques to maximize performance on mobile and embedded hardware.