Multi-Class Classification Using PyTorch: Training. Dr. James McCaffrey of Microsoft Research continues his four-part series on multi-class classification, designed to predict a value that can be one ...

The PyTorch Foundation recently released PyTorch version 2.0, a 100% backward compatible update. The main API contribution of the release is a compile function for deep learning models, which speeds u ...

Using these combined optimizations on PyTorch nightly builds, the IBM researchers were able to achieve inference speeds of 29 milliseconds per token on a 100 GPU system for a large language model ...

Training of large-scale language models (LLMs), which can be said to be the main body of AI, is mostly done using PyTorch or Python, but a tool called ' llm.c ' has been released that implements ...

Bilot claims that initial benchmarks for the library can run at up to ten times the speed of frameworks such as PyTorch Geometric and DGL when training on large graph datasets.

After training the network, the demo program computes the classification accuracy of the model on the training data (163 out of 200 correct = 81.50 percent) and on the test data (31 out of 40 correct ...