NCA-GENM Exam Dumps | You are training a multimodal generative A1 model for image captioning. After initial training, you observe

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Question 42/192

You are training a multimodal generative A1 model for image captioning. After initial training, you observe that the model excels at describing common objects but struggles with nuanced details and rare objects. Which of the following performance optimization strategies would be MOST effective in addressing this issue?

A. Increase the batch size during training to improve GPU utilization.

B. Implement a custom loss function that penalizes inaccuracies in describing rare objects more heavily.

C. Apply early stopping to prevent overfitting to the common objects.

D. Reduce the learning rate to fine-tune the model on the existing dataset.

E. Increase the number of layers in the encoder network.

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