Attention

In the context of machine learning, an "Attention" mechanism is a feature that allows a neural network to focus selectively on specific parts of an input sequence, similar to how human visual attention works. This is especially useful for handling long-range dependencies in data, such as connecting words in a long sentence. Key Types of Attention Mechanisms