What is the main advantage of using recurrent neural networks (RNNs) for language modeling over n-gram models?<br /> A. a. RNNs can model arbitrary long-range dependencies <br />B. b. RNNs are less prone to overfitting <br />C. c. RNNs require less training data <br />D. d. RNNs are easier to implement

What is the primary disadvantage of using n-gram models for language modeling?<br /> A. a. High computational complexity <br />B. b. Inability to handle long-range dependencies <br />C. c. Overfitting to the training data <br />D. d. Lack of interpretability

What is the advantage of using the attention mechanism over a traditional recurrent neural network (RNN) encoder-decoder?The attention mechanism is more cost-effective than a traditional RNN encoder-decoder.The attention mechanism is faster than a traditional RNN encoder-decoder.The attention mechanism requires less CPU threads than a traditional RNN encoder-decoder.The attention mechanism lets the decoder focus on specific parts of the input sequence, which can improve the accuracy of the translation.

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

What is the key advantage of using LSTMs over basic RNNs in sequence generation tasks?Less prone to overfittingLower computational costSimpler architectureAbility to remember long-term dependenciesFaster training speeds

For neural machine translation we typically use encoder decoder architecture. Which of the following statements are correct regarding the disadvantages of RNN/LSTM/GRU variants of encoder decoder architecture?Question 3Answera.None of theseb.For long sentence it give good accuracy and computationally expensivec.Input sequence can be larged.Vanishing gradient problem