The Rise of Transformers in Natural Language Processing

Transformers are a key piece in training neural networks for text and natural language processing tasks./nThe transformer model or transformer architecture is a new and more efficient way of training models compared to traditional sequence models./nTransformers can learn abstract concepts and abstractions from large amounts of training data without explicit supervision./nScaling the training data and using simple models can lead to remarkable achievements that were previously considered impossible by computers.