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Exam NCA-GENL Topic 2 Question 80 Discussion

Actual exam question for NVIDIA's NCA-GENL exam
Question #: 80
Topic #: 2
In evaluating the transformer model for translation tasks, what is a common approach to assess its performance?

Suggested Answer: B Vote an answer

A common approach to evaluate Transformer models for translation tasks, as highlighted in NVIDIA's Generative AI and LLMs course, is to compare the model's output with human-generated translations on a standard dataset, such as WMT (Workshop on Machine Translation) or BLEU-evaluated corpora. Metrics like BLEU (Bilingual Evaluation Understudy) score are used to quantify the similarity between machine and human translations, assessing accuracy and fluency. This method ensures objective, standardized evaluation.
Option A is incorrect, as lexical diversity is not a primary evaluation metric for translation quality. Option C is wrong, as tone and style consistency are secondary to accuracy and fluency. Option D is inaccurate, as syntactic complexity is not a standard evaluation criterion compared to direct human translation benchmarks.
The course states: "Evaluating Transformer models for translation involves comparing their outputs to human- generated translations on standard datasets, using metrics like BLEU to measure performance." References: NVIDIA Building Transformer-Based Natural Language Processing Applications course; NVIDIA Introduction to Transformer-Based Natural Language Processing.

by Mortimer at Apr 09, 2026, 10:19 AM

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Here are all the actual test exam dumps for IT exams. Most people prepare for the actual exams with our test dumps to pass their exams. So it's critical to choose and actual test pdf to succeed.

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