What is the purpose of the "attention mechanism" in neural networks, particularly in sequence-to-sequence models?

• A) To enhance the training speed of the neural network
• B) To selectively focus on different parts of the input sequence when generating the output sequence
• C) To reduce the complexity of the model by limiting the number of layers
• D) To increase the size of the dataset by generating synthetic samples