Attention Transformers

Adam works in the natural language processing department at a tech company. He has been tasked with building a model that can understand and generate human-like language.

Adam decides to use a transformer model for this task. He knows that transformers are a type of deep learning model that has been proven effective in natural language processing tasks.

Which of the following are characteristics of transformers?

Transformers use attention mechanisms to allow the model to focus on specific parts of the input.

Transformers can handle variable-length input and output sequences.

Transformers are based on recurrent neural networks and use feedback loops to process the input data.

Transformers can only work with categorical data.