최신NVIDIA Generative AI LLMs - NCA-GENL무료샘플문제
문제1
In the context of language models, what does an autoregressive model predict?
In the context of language models, what does an autoregressive model predict?
정답: D
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문제2
Which of the following claims is correct about quantization in the context of Deep Learning? (Pick the 2 correct responses)
Which of the following claims is correct about quantization in the context of Deep Learning? (Pick the 2 correct responses)
정답: A,E
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문제3
What is the Open Neural Network Exchange (ONNX) format used for?
What is the Open Neural Network Exchange (ONNX) format used for?
정답: D
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문제4
What is the purpose of the NVIDIA NGC catalog?
What is the purpose of the NVIDIA NGC catalog?
정답: C
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문제5
Which of the following tasks is a primary application of XGBoost and cuML?
Which of the following tasks is a primary application of XGBoost and cuML?
정답: A
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문제6
"Hallucinations" is a term coined to describe when LLM models produce what?
"Hallucinations" is a term coined to describe when LLM models produce what?
정답: A
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문제7
Which of the following is a parameter-efficient fine-tuning approach that one can use to fine-tune LLMs in a memory-efficient fashion?
Which of the following is a parameter-efficient fine-tuning approach that one can use to fine-tune LLMs in a memory-efficient fashion?
정답: B
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문제8
What is confidential computing?
What is confidential computing?
정답: A
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문제9
Which of the following prompt engineering techniques is most effective for improving an LLM's performance on multi-step reasoning tasks?
Which of the following prompt engineering techniques is most effective for improving an LLM's performance on multi-step reasoning tasks?
정답: D
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문제10
Which technology will allow you to deploy an LLM for production application?
Which technology will allow you to deploy an LLM for production application?
정답: C
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