최신 NCA-GENL 무료덤프 - NVIDIA Generative AI LLMs

문제1

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

A. ReLU is a linear function while sigmoid is non-linear.

B. ReLU is more computationally efficient, but sigmoid is better for predicting probabilities.

C. ReLU is less computationally efficient than sigmoid, but it is more accurate than sigmoid.

D. ReLU and sigmoid both have a range of 0 to 1.

정답: B

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문제2

When designing prompts for a large language model to perform a complex reasoning task, such as solving a multi-step mathematical problem, which advanced prompt engineering technique is most effective in ensuring robust performance across diverse inputs?

A. Zero-shot prompting with a generic task description.

B. Few-shot prompting with randomly selected examples.

C. Chain-of-thought prompting with step-by-step reasoning examples.

D. Retrieval-augmented generation with external mathematical databases.

정답: C

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문제3

In the Transformer architecture, which of the following statements about the Q (query), K (key), and V (value) matrices is correct?

A. V is used to calculate the positional embeddings for each token in the input sequence.

B. K is responsible for computing the attention scores between the query and key vectors.

C. Q, K, and V are randomly initialized weight matrices used for positional encoding.

D. Q represents the query vector used to retrieve relevant information from the input sequence.

정답: D

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문제4

Which feature of the HuggingFace Transformers library makes it particularly suitable for fine-tuning large language models on NVIDIA GPUs?

A. Seamless integration with PyTorch and TensorRT for GPU-accelerated training and inference.

B. Simplified API for classical machine learning algorithms like SVM.

C. Built-in support for CPU-based data preprocessing pipelines.

D. Automatic conversion of models to ONNX format for cross-platform deployment.

정답: A

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문제5

Which Python library is specifically designed for working with large language models (LLMs)?

A. HuggingFace Transformers

B. Scikit-learn

C. Pandas

D. NumPy

정답: A

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최신 NCA-GENL 무료덤프 - NVIDIA Generative AI LLMs

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