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Let's dive deeper into some of these parameters. `padding` is used to make sure all sequences in a batch have the same length by adding padding tokens. You might set `padding=True` to pad all sequences to the maximum length of the batch or set `padding=longest` to pad to the longest sequence in the batch. On the other hand, `truncation` is used to limit the length of the sequences. When set to `True`, it truncates the sequences to the maximum length accepted by the model. Finally, the `max_length` parameter controls the maximum length of the sequences after padding and truncation. It is very useful, because it prevents the sequences from being too long.
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1. **Read the Question Carefully:** Always start by reading the question thoroughly. Understand what is being asked before looking at the options.
