Pass NVIDIA NCA-GENL Exam with Guarantee Updated 97 Questions [Q40-Q54]

NEW QUESTION 40
What is a foundation model in the context of Large Language Models (LLMs)?

NEW QUESTION 41
Which of the following best describes the purpose of attention mechanisms in transformer models?

NEW QUESTION 42
In the development of Trustworthy AI, what is the significance of ‘Certification’ as a principle?

NEW QUESTION 43
When comparing and contrasting the ReLU and sigmoid activation functions, which statement is true?

NEW QUESTION 44
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?

NEW QUESTION 45
When implementing data parallel training, which of the following considerations needs to be taken into account?

NEW QUESTION 46
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?

NEW QUESTION 47
Which metric is commonly used to evaluate machine-translation models?

NEW QUESTION 48
Which metric is commonly used to evaluate machine-translation models?

NEW QUESTION 49
What is the main consequence of the scaling law in deep learning for real-world applications?

NEW QUESTION 50
What is Retrieval Augmented Generation (RAG)?

NEW QUESTION 51
Which of the following is a parameter-efficient fine-tuning approach that one can use to fine-tune LLMs in a memory-efficient fashion?

NEW QUESTION 52
In large-language models, what is the purpose of the attention mechanism?

NEW QUESTION 53
Which aspect in the development of ethical AI systems ensures they align with societal values and norms?

NEW QUESTION 54
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?