Building real-world on-device AI with LiteRT and NPU
SMRTR summary
Google's LiteRT framework makes it easier for developers to run powerful AI features on mobile devices by tapping into Neural Processing Units (NPUs) — chips built specifically for AI tasks. Real-world examples include Google Meet deploying a segmentation model 25x larger than before, Epic Games achieving 30 FPS facial animation, and Argmax delivering speech recognition with 2x faster speeds compared to GPU processing.
SMRTR provides this summary for quick context. The original article belongs to Google Developers.
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