What is the Transformer architecture, and how does it contribute to NLP models?

A) It is a feature extraction algorithm

B) It is a rule-based system for semantic analysis

C) It is a reinforcement learning model for text generation

D) It is a neural network architecture that relies on attention mechanisms, improving the efficiency of NLP tasks

Correct Answer : It is a neural network architecture that relies on attention mechanisms, improving the efficiency of NLP tasks

Explanation : The Transformer architecture is a neural network architecture that relies on attention mechanisms, improving the efficiency of NLP tasks.