Dr. James McCaffrey of Microsoft Research continues his examination of creating a PyTorch neural network binary classifier through six steps, here addressing step No. 4: training the network. The goal ...

Write code to evaluate the model (the trained network) Write code to save and use the model to make predictions for new, previously unseen data; Each of the six steps is complicated. And the six steps ...

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 ...

Using a mix of PyTorch, a framework co-created by Facebook, and machine-learning platform Allegro Trains, med-tech company theator is now providing surgeons with a tool that lets them watch over ...