Tutorial - 60 minutes
The evolution of on-device AI is transforming how developers build and deploy machine learning models, enabling real-time performance, enhanced privacy, and power-efficient execution. Windows on Snapdragon (WoS) provides a robust AI development ecosystem, allowing developers to run AI models directly on the device without relying on cloud inference. This session will explore best practices for optimizing AI workloads, leveraging hardware acceleration, and utilizing industry-standard frameworks to deploy AI models efficiently on WoS-powered devices. Attendees will gain insights into the AI developer workflow, from model conversion and quantization to execution and optimization, ensuring seamless performance for a wide range of AI applications.
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