TensorFlow Lite is a framework designed for model serialization of TensorFlow models, aiming to optimize them for efficient execution on mobile and edge devices. It involves converting and compressing TensorFlow models to reduce their size and computational requirements, ensuring seamless deployment across resource-constrained environments.
