NCA-GENM Exam Dumps | You are working with a large multimodal dataset that contains images and corresponding text descriptions.

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Question 104/192

You are working with a large multimodal dataset that contains images and corresponding text descriptions. The text descriptions are highly variable in length and content. Which of the following techniques is MOST effective for handling this variability when training a multimodal model?

A. Pad all text descriptions to the same maximum length using a special padding token.

B. Truncate all text descriptions to a fixed length.

C. Use dynamic padding and masking to handle variable-length sequences efficiently during batch processing.

D. Ignore text descriptions that are longer than a certain threshold.

E. Create a fixed-size vocabulary and discard any words not in the vocabulary.

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