NCA-GENM Exam Dumps | You are training a multimodal model that combines text and images. You observe that the model is heavily

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Question 164/192

You are training a multimodal model that combines text and images. You observe that the model is heavily biased towards the text modality and largely ignores the image data. Which of the following strategies could you use to address this modality imbalance? (Select all that apply)

A. Increase the learning rate for the image-related parameters of the model.

B. Decrease the learning rate for the text-related parameters of the model.

C. Use a modality-specific loss weighting scheme, assigning a higher weight to the loss component derived from the image data.

D. Oversample the image data during training.

E. Reduce the dimensionality of the image features to match the dimensionality of the text embeddings.

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