In short, PyTorch programs create a graph on the fly. Then back-propagation uses the dynamically created graph, automatically calculating the gradients from the saved tensor states.

AWS customers who are training large language models (LLMs) will be able to complete their model checkpoints up to 40% faster thanks to improvements AWS has made with its Amazon S3 PyTorch Lightning ...