An Attention Mechanism is a method used in models to focus on specific parts of input data, enhancing the performance by prioritizing relevant information. This is crucial in tasks like translation, where understanding the context of words is important. It compares to traditional models that treat all input data equally. Examples of related methods include sequence-to-sequence models, which have been improved by incorporating attention for better performance.