Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More The open source PyTorch machine learning (ML) framework is widely used ...
Artificial intelligence development startup Lightning AI Inc. today announced the general availability of PyTorch Lightning 2.0, an open-source AI framework that’s used by thousands of organizations ...
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The PyTorch Foundation, makers of the PyTorch machine learning framework, has launched torchao, a PyTorch native library that makes models faster and smaller by leveraging low-bit dtypes, sparsity, ...
Multi-Class Classification Using New PyTorch Best Practices, Part 2: Training, Accuracy, Predictions
Following new best practices, Dr. James McCaffrey of Microsoft Research revisits multi-class classification for when the variable to predict has three or more possible values. This is the second of ...
The open source AI ecosystem took a decisive leap forward today as the PyTorch Foundation announced that Ray, the distributed computing framework originally developed by Anyscale, has officially ...
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.
During its PyTorch Developer Day conference, Meta (formerly Facebook) announced PyTorch Live, a set of tools designed to make AI-powered experiences for mobile devices easier. PyTorch Live offers a ...
In collaboration with the Metal engineering team at Apple, PyTorch today announced that its open source machine learning framework will soon support GPU-accelerated model training on Apple silicon ...
Dr. James McCaffrey of Microsoft Research continues his four-part series on multi-class classification, designed to predict a value that can be one of three or more possible discrete values, by ...
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