NCA-GENM Exam Dumps | You're training a multimodal model on text, image, and audio dat a. During training, you encounter 'CUDA

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Question 133/192

You're training a multimodal model on text, image, and audio dat
a. During training, you encounter 'CUDA out of memory' errors. Your dataset is large, and you have a GPU with limited memory. Which of the following strategies would be MOST effective to mitigate this issue without significantly reducing model performance?

A. Reduce the batch size.

B. Use mixed-precision training (e.g., FP16 or BFI 6).

C. Decrease the number of layers in the model.

D. Implement gradient accumulation.

E. Increase the resolution of the input images.

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