最新的NVIDIA NCA-GENL免費考試真題

問題1

Imagine you are training an LLM consisting of billions of parameters and your training dataset is significantly larger than the available RAM in your system. Which of the following would be an alternative?

A. Eliminating sentences that are syntactically different by semantically equivalent, possibly reducing the risk of the model hallucinating as it is trained to get to the point.

B. Using a memory-mapped file that allows the library to access and operate on elements of the dataset without needing to fully load it into memory.

C. Discarding the excess of data and pruning the dataset to the capacity of the RAM, resulting in reduced latency during inference.

D. Using the GPU memory to extend the RAM capacity for storing the dataset and move the dataset in and out of the GPU, using the PCI bandwidth possibly.

正確答案: B

說明：（僅 Fast2test 成員可見）

問題2

Which of the following claims is correct about TensorRT and ONNX?

A. TensorRT is used for model creation and ONNX is used for model interchange.

B. TensorRT is used for model deployment and ONNX is used for model interchange.

C. TensorRT is used for model creation and ONNX is used for model deployment.

D. TensorRT is used for model deployment and ONNX is used for model creation.

正確答案: B

說明：（僅 Fast2test 成員可見）

問題3

In the context of language models, what does an autoregressive model predict?

A. The probability of the next token using a Monte Carlo sampling of past tokens.

B. The probability of the next token in a text given the previous tokens.

C. The next token solely using recurrent network or LSTM cells.

D. The probability of the next token by looking at the previous and future input tokens.

正確答案: B

說明：（僅 Fast2test 成員可見）

問題4

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

A. BLEU score

B. Perplexity

C. ROUGE score

D. F1 Score

正確答案: C

說明：（僅 Fast2test 成員可見）

問題5

What is the purpose of the NVIDIA NeMo Toolkit?

A. NeMo helps researchers to develop models that trade-off size with minimum loss impact.

B. NeMo facilitates the creation of models for speech recognition and natural language understanding.

C. NeMo focuses on the morphology of a language by studying its words, and how they are formed.

D. NeMo helps researchers develop state-of-the-art models for computer vision based on convolutions.

正確答案: B

說明：（僅 Fast2test 成員可見）

問題6

In neural networks, the vanishing gradient problem refers to what problem or issue?

A. The problem of underfitting in neural networks, where the model fails to capture the underlying patterns in the data.

B. The problem of overfitting in neural networks, where the model performs well on the training data but poorly on new, unseen data.

C. The issue of gradients becoming too small during backpropagation, resulting in slow convergence or stagnation of the training process.

D. The issue of gradients becoming too large during backpropagation, leading to unstable training.

正確答案: C

說明：（僅 Fast2test 成員可見）

問題7

What is the purpose of few-shot learning in prompt engineering?

A. To optimize hyperparameters

B. To train a model from scratch

C. To give a model some examples

D. To fine-tune a model on a massive dataset

正確答案: C

說明：（僅 Fast2test 成員可見）

問題8

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

A. Chinchilla

B. NeMo

C. LoRA

D. TensorRT

正確答案: C

說明：（僅 Fast2test 成員可見）

問題9

Why do we need positional encoding in transformer-based models?

A. To increase the throughput of the model.

B. To reduce the dimensionality of the input data.

C. To represent the order of elements in a sequence.

D. To prevent overfitting of the model.

正確答案: C

說明：（僅 Fast2test 成員可見）

問題10

Which principle of Trustworthy AI primarily concerns the ethical implications of AI's impact on society and includes considerations for both potential misuse and unintended consequences?

A. Data Privacy

B. Accountability

C. Certification

D. Legal Responsibility

正確答案: B

說明：（僅 Fast2test 成員可見）

最新的NVIDIA Generative AI LLMs - NCA-GENL免費考試真題

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