Attention mechanism is a type of neural network architecture that has been used extensively in natural language processing. It is a method of selectively focusing on the relevant parts of a sentence or text by weighting certain words more heavily than others. In other words, it is a way of emphasizing important words or phrases in a sentence or document. Attention mechanisms focus on the relevant parts of the input and help the model better understand the meaning of the words or phrases.