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

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

새 질문 41
Which of the following best describes the purpose of attention mechanisms in transformer models?

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

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

새 질문 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?

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

새 질문 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?

새 질문 47
Which metric is commonly used to evaluate machine-translation models?

새로운 질문 48
Which metric is commonly used to evaluate machine-translation models?

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

새 질문 50
What is Retrieval Augmented Generation (RAG)?

새 질문 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?

새 질문 52
In large-language models, what is the purpose of the attention mechanism?

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

새 질문 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?