Description
Mobile deployment of AI models presents unique challenges at the intersection of model performance, device constraints, and user experience. Successfully running machine learning models on mobile devices requires careful consideration of model optimization, resource management, and hardware acceleration capabilities.
The ability to perform AI inference directly on mobile devices enables offline functionality, reduces latency, and enhances privacy by keeping sensitive data local. Here is a framework for deploying and optimizing AI models for mobile environments, covering both iOS and Android platforms.
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