Example Concept: In sequence modeling tasks, variable-length sequences are often padded with a special token (e.g., zero) to match the length of the longest sequence in the batch. During training or inference, a mask is applied to ignore these padding tokens, ensuring that the RNN processes only the actual data. This is typically handled by the RNN framework, which can automatically apply the mask to prevent the network from learning from the padded parts.