NVIDIA NCA-GENL Actual Free Exam Questions & Community Discussion
In the context of a natural language processing (NLP) application, which approach is most effective for implementing zero-shot learning to classify text data into categories that were not seen during training?
Correct Answer: C
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What metrics would you use to evaluate the performance of a RAG workflow in terms of the accuracy of responses generated in relation to the input query? (Choose two.)
Correct Answer: B,D
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In the context of fine-tuning LLMs, which of the following metrics is most commonly used to assess the performance of a fine-tuned model?
Correct Answer: B
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You have access to training data but no access to test data. What evaluation method can you use to assess the performance of your AI model?
Correct Answer: C
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When designing an experiment to compare the performance of two LLMs on a question-answering task, which statistical test is most appropriate to determine if the difference in their accuracy is significant, assuming the data follows a normal distribution?
Correct Answer: D
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What type of model would you use in emotion classification tasks?
Correct Answer: B
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Which metric is primarily used to evaluate the quality of the text generated by language models?
Correct Answer: B
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In Exploratory Data Analysis (EDA) for Natural Language Understanding (NLU), which method is essential for understanding the contextual relationship between words in textual data?
Correct Answer: C
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Which of the following principles are widely recognized for building trustworthy AI? (Choose two.)
Correct Answer: B,C
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You have developed a deep learning model for a recommendation system. You want to evaluate the performance of the model using A/B testing. What is the rationale for using A/B testing with deep learning model performance?
Correct Answer: C
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