Padding sequences in natural language processing models is important for several reasons. In NLP, we often deal with text data that comes in varying lengths, such as sentences or documents of different sizes. However, most machine learning algorithms require fixed-length inputs. Therefore, padding sequences becomes necessary to ensure uniformity in the input data and enable