The approach makes the model suitable for enterprise-scale machine translation, text summarization, computer vision and audio processing tasks as well as tasks like estimation and forecasting, TII ...

“We believe Reformer gives the basis for future use of Transformer models, both for long text and applications outside of natural language processing,” added Kaiser and Kitaev.

Deep tech Understanding Transformers, the machine learning model behind GPT-3 How this novel neural network architecture changes the way we analyze complex data types ...