A. The attention mechanism enhances Seq2Seq models by dynamically allowing the decoder to focus on relevant parts of the input sequence. Instead of compressing all input information into a single context vector, attention assigns different weights to different parts of the sequence, enabling the model to capture dependencies effectively and significantly improving accuracy.