Distributed Training, Model Parallelism, Data Parallelism, Pytorch, Aurorain.
data, models, or mixed to make large model training work. As data and models grow exponentially, optimizing memory usage and processing efficiency becomes vital. It’s expensive to train a large model. Transfer learning for reusing the trained layers will change the game of large-scale distributed