Bringing PyTorch models to devices: How much porting can we leave to AI agents? (From the paper)

An AI agent reported that it had "successfully performed inference," but the device's NPU was not actually running. This was ...
Semiconductor Engineering

Deploying PyTorch Models On Edge Devices

AI is being rapidly adopted in edge computing. As a result, it is increasingly important to deploy machine learning models on Arm edge devices. Arm-based processors are common in embedded systems ...
InfoWorld

Meta releases PyTorch inference framework for edge devices

ExecuTorch 1.0 allows developers to deploy PyTorch models directly to edge devices, including iOS and Android devices, PCs, and embedded systems, with CPU, GPU, and NPU hardware acceleration.

[For Beginners] Introduction to Machine Learning with PyTorch! A Guide to Basic Usage, Practical Code, and Applications

"I want to start machine learning, but it seems difficult..." "Don't I need advanced knowledge of mathematics or programming?
Visual Studio Magazine

Binary Classification Using PyTorch: Model Accuracy

In the final article of a four-part series on binary classification using PyTorch, Dr. James McCaffrey of Microsoft Research shows how to evaluate the accuracy of a trained model, save a model to file ...