TensorFlow Lite is a lightweight version of the popular machine learning framework TensorFlow, designed specifically for mobile and embedded devices. It enables developers to run machine learning models on smartphones, tablets, and IoT devices with limited computational resources, ensuring efficient performance and low latency. By converting models into a smaller, optimized format, TensorFlow Lite allows for faster inference times and reduced memory usage. This makes it ideal for applications like image recognition, natural language processing, and real-time data analysis, empowering developers to create intelligent applications that can operate offline and in real-time.