2021
GShard: Scaling Giant Models with Conditional Computation and Automatic Sharding
ICLR 2021poster
Neural network scaling has been critical for improving the model quality in many real-world machine learning applications with vast amounts of training data and compute. Although this trend of scaling is affirmed to be a sure-fire approach for better model quality, there are challenges on the path s…