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TensorFlow Lite is a lightweight, cross-platform SDK for deploying machine learning models on mobile and embedded devices. It enables on-device inference with low latency and small binary size, supporting Android, iOS, and Linux-based systems. The SDK includes tools for model conversion, optimization, and quantization, making it ideal for applications like image classification, object detection, and natural language processing. Developers use TensorFlow Lite to build AI-powered apps that work offline, ensuring privacy and reducing dependency on cloud services.
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