TensorFlow Lite is now LiteRT

LiteRT, previously known as TensorFlow Lite (TFLite), is a rebranded high-performance runtime for on-device AI that now supports models from various frameworks such as PyTorch, JAX, and Keras. Part of Google's AI Edge suite, LiteRT facilitates seamless deployment of machine learning models on platforms like Android, iOS, and embedded devices, leveraging robust model conversion and optimization tools. Although the name has changed, LiteRT maintains the same functionality and provides continuity for existing TFLite users, requiring minimal code adjustments. The transition to LiteRT is progressive, with updates reflected in developer documentation and dependencies, while the main TensorFlow brand remains unaffected. This rebranding underscores Google's commitment to a multi-framework ecosystem and aims to improve model deployment with GPU and NPU acceleration across platforms, ensuring that developers can continue using their current workflows with minor updates to package dependencies.

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