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NVIDIA NCA-GENM Exam Syllabus Topics:

NVIDIA Generative AI Multimodal Sample Questions:

1. In large-language models, what is the purpose of the attention mechanism?

A) To assign weights to each word in the input sequence.
B) To determine the order in which words are generated.
C) To measure the importance of the words in the output sequence.
D) To capture the order of the words in the input sequence.

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

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

3. You want to evaluate the performance of an AI model. Which of the following is a method for AI model evaluation?

A) Calculating the model's accuracy from randomly selected data points from the dataset not used during the model's training.
B) Calculating the loss function of the model on the training set.
C) Interviewing the developers of the AI model to assess its performance.
D) Randomly selecting data points from the training set and calculating the accuracy of the model on these data points.

4. What is a main application of Triton Inference Server?

A) Triton Server can be used to deploy neural networks from various frameworks.
B) Triton Server can be used to execute GPU-accelerated graph analysis with cuGraph.
C) Triton Server can be used to generate images from pure noise.
D) Triton Server can be used to deploy AI models on the GPU only.

5. What role does 'late fusion' play in multimodal machine learning?

A) It refers to the process of combining multiple modalities at the decision level.
B) It refers to the process of combining multiple modalities at the feature level.
C) It refers to the process of combining multiple modalities at the training stage.
D) It refers to the process of combining multiple modalities at the preprocessing stage.

Solutions: