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NVIDIA NCA-GENM Exam Syllabus Topics:

NVIDIA Generative AI Multimodal Sample Questions:

1. In LLM evaluation, what does "zero-shot learning" refer to?

A) The model's ability to perform tasks it has not been explicitly trained on
B) The model's performance after extensive training
C) The model's ability to learn from zero examples
D) A technique to reduce training time to zero

2. Which of the following is a disadvantage of the ReLU activation function?

A) It is not suitable for deep neural networks.
B) It is computationally expensive.
C) It can cause dead neurons.
D) It is prone to vanishing gradient problem.

3. In a Generative Adversarial Network (GAN), what is the role of the discriminator?

A) To optimize the training process.
B) To calculate the loss function and update the generator.
C) To generate new data based on the training set.
D) To distinguish between real and generated data.

4. What is a common method to reduce the computational cost of deep learning models during inference?

A) By replacing activation functions in some neurons with simpler ones.
B) Adding more convolutional filters.
C) Pruning weights or neurons.
D) Increasing the batch size.

5. You are conducting an experiment to evaluate the performance of different AI models. What is the purpose of AI model evaluation?

A) To analyze the cost-effectiveness of AI model development.
B) To determine the best AI model architecture.
C) To determine the ethical implications of AI model usage.
D) To study the impact of AI models on human behavior.

Solutions: