NCA-GENM EXAM PREPARATION

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Question #6 (Topic: Demo Questions)

You are optimizing a generative AI model's performance by tuning hyperparameters. Which of the
following strategies is most likely to improve the model's training efficiency without compromising its
ability to generalize?

Reducing the Batch Size

Increasing the Learning Rate Significantly

Using a Lower Precision for Computation

Applying Regularization Techniques

Correct Answer: D

Explanation:

Applying regularization techniques like L2 regularization or dropout helps prevent overfitting, improving the model's generalization ability while maintaining training efficiency.

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