NVIDIA NCA-GENM

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NVIDIA NCA-GENM 試験シラバストピック:

NVIDIA Generative AI Multimodal 認定 NCA-GENM 試験問題：

1. Which metric is commonly used for evaluating Automatic Speech Recognition (ASR) models?

A) CTC Loss
B) F1 Score
C) Mean Opinion Score (MOS)
D) Word Error Rate (WER)

2. Which technique involves leveraging pre-trained models to achieve efficient results with less data and computation?

A) Transfer learning
B) Neural network integration
C) Prompt engineering
D) State management and composition

3. In the development of Trustworthy AI, what is the significance of 'Certification' as a principle?

A) It ensures that AI systems are transparent in their decision-making processes.
B) It mandates that AI models comply with relevant laws and regulations specific to their deployment region and industry.
C) It involves verifying that AI models are fit for their intended purpose according to regional or industry- specific standards.
D) It requires AI systems to be developed with an ethical consideration for societal impacts.

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

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

5. Which of the following best describes the purpose of GAN (Generative Adversarial Networks)?

A) To optimize search algorithms for faster data retrieval.
B) To produce new data that is similar to the training data.
C) To optimize decision-making processes based on historical data.
D) To classify and categorize data based on patterns and features.

質問と回答：