Significance of 'Attention is All You Need' Paper in NLP

Convolutional Neural Networks (CNNs)

Attention mechanism (correct)

Recurrent Neural Networks (RNNs)

LSTM networks

Pooling layers

Attention mechanism (correct)

Dropout layers

Feedback loops

Incorporation of reinforcement learning

Dependency on convolutional layers

Use of transfer learning

State-of-the-art performance on NLP tasks (correct)

<p>Transformers have less interdependence between elements</p> Signup and view all the answers

<p>BERT, DistilBERT, RoBERTa</p> Signup and view all the answers