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Exam NCA-GENM Topic 1 Question 130 Discussion

Actual exam question for NVIDIA's NCA-GENM exam
Question #: 130
Topic #: 1
A multimodal A1 model is trained on a dataset containing biased text and images. This bias leads to the model generating outputs that reinforce negative stereotypes. Which of the following steps are crucial for addressing and mitigating this bias during the model development lifecycle? (Select TWO)

Suggested Answer: A,C Vote an answer

Collecting a more diverse dataset helps to reduce the bias present in the training data. Adversarial training can be used to train the model to be more robust to biased inputs and generate fairer outputs. Increasing the learning rate or reducing the number of layers do not directly address bias. Model distillation mainly aims at model size reduction, not bias mitigation.

by Ingemar at Sep 20, 2025, 03:40 PM

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