Generative Modeling with Sparse Transformers

We’ve developed the Sparse Transformer, a deep neural network which sets new records at predicting what comes next in a sequence—whether text, images, or sound. It uses an algorithmic improvement of the attention mechanism to extract patterns from sequences 30x longer than possible previously. One existing challenge in AI research is modeling long-range, subtle interdependencies in complex data li