Free NVIDIA NCA-GENL Exam Dumps Questions & Answers

In Exploratory Data Analysis (EDA) for Natural Language Understanding (NLU), which method is essential for understanding the contextual relationship between words in textual data?

• A.Generating word clouds to visually represent word frequency and highlight key terms.
• B.Computing the frequency of individual words to identify the most common terms in a text.
• C.Applying sentiment analysis to gauge the overall sentiment expressed in a text.
• D.Creating n-gram models to analyze patterns of word sequences like bigrams and trigrams.

What is the prompt "Translate English to French: cheese =>" an example of?

• A.Fine tuning a model
• B.One-shot learning
• C.Zero-shot learning
• D.Few-shot learning

When fine-tuning an LLM for a specific application, why is it essential to perform exploratory data analysis (EDA) on the new training dataset?

• A.To assess the computing resources required for fine-tuning
• B.To uncover patterns and anomalies in the dataset
• C.To determine the optimum number of layers in the neural network
• D.To select the appropriate learning rate for the model

"Hallucinations" is a term coined to describe when LLM models produce what?

• A.Images from a prompt description.
• B.Grammatically incorrect or broken outputs.
• C.Outputs are only similar to the input data.
• D.Correct sounding results that are wrong.

What distinguishes BLEU scores from ROUGE scores when evaluating natural language processing models?

• A.BLEU scores measure model efficiency, whereas ROUGE scores assess computational complexity.
• B.BLEU scores analyze syntactic structures, while ROUGE scores evaluate semantic accuracy.
• C.BLEU scores evaluate the 'precision' of translations, while ROUGE scores focus on the 'recall' of summarized text.
• D.BLEU scores determine the fluency of text generation, while ROUGE scores rate the uniqueness of generated text.