What is the primary purpose of Google's Lite Runtime (LiteRT)?

The primary purpose of Google's Lite Runtime (LiteRT) is to help machine learning models work efficiently on edge devices. This is crucial in scenarios where computational resources are limited, such as on mobile devices or IoT systems. LiteRT is designed to optimize the performance of ML models, allowing them to execute quickly and with minimal resource consumption, which is essential for providing real-time functionalities and ensuring a seamless user experience on devices that may not have the same processing power as traditional servers.

By focusing on edge efficiency, LiteRT supports applications that require low latency and high responsiveness. This enables machine learning to be more accessible and practical in various real-world situations, such as providing real-time analytics or on-device predictions without relying heavily on cloud processing.