Which model architecture introduced the concept of transformers in NLP?*1 pointConvolutional Neural Networks (CNN)B) Recurrent Neural Networks (RNN)Long Short-Term Memory (LSTM)Attention Is All You Need

What is the name of the language modeling technique that is used in Bidirectional Encoder Representations from Transformers (BERT)?Recurrent Neural Network (RNN)TransformerLong Short-Term Memory (LSTM)Gated Recurrent Unit (GRU)

Which of the following is NOT a commonly used pre-trained language model for NLP tasks?Question 14Answera.BERT (Bidirectional Encoder Representations from Transformers)b.ELMO (Embeddings from Language Models)c.GPT (Generative Pre-trained Transformer)d.SVM (Support Vector Machine)

What kind of transformer model is BERT?Recurrent Neural Network (RNN) encoder-decoder modelEncoder-only modelDecoder-only modelEncoder-decoder model

What are the three different embeddings that are generated from an input sentence in a Transformer model?Recurrent, feedforward, and attention embeddingsEmbedding, classification, and next sentence embeddingsToken, segment, and position embeddingsConvolution, pooling, and recurrent embeddings

what are the advantages of using transformer networks over RNNs in the field of natural language processing with deep learning?