Exam NCA-GENL Topic 3 Question 62 Discussion

Actual exam question for NVIDIA's NCA-GENL exam
Question #: 62
Topic #: 3

In the context of a natural language processing (NLP) application, which approach is most effectivefor implementing zero-shot learning to classify text data into categories that were not seen during training?

A. Use rule-based systems to manually define the characteristics of each category. B. Use a large, labeled dataset for each possible category. C. Train the new model from scratch for each new category encountered. D. Use a pre-trained language model with semantic embeddings.

Suggested Answer: D Vote an answer

Zero-shot learning allows models to perform tasks or classify data into categories without prior training on those specific categories. In NLP, pre-trained language models (e.g., BERT, GPT) with semantic embeddings are highly effective for zero-shot learning because they encode general linguistic knowledge and can generalize to new tasks by leveraging semantic similarity. NVIDIA's NeMo documentation on NLP tasks explains that pre-trained LLMs can perform zero-shot classification by using prompts or embeddings to map input text to unseen categories, often via techniques like natural language inference or cosine similarity in embedding space. Option A (rule-based systems) lacks scalability and flexibility. Option B contradicts zero- shot learning, as it requires labeled data. Option C (training from scratch) is impractical and defeats the purpose of zero-shot learning.
References:
NVIDIA NeMo Documentation: https://docs.nvidia.com/deeplearning/nemo/user-guide/docs/en/stable/nlp/intro.html Brown, T., et al. (2020). "Language Models are Few-Shot Learners."

by Owen at Nov 05, 2025, 08:02 PM

Limited Time Offer

15%

Off

Get Premium NCA-GENL Questions as Interactive Self Test Engine or PDF

Comments

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.

RECENT DISCUSSIONS

Useful Links

Contact Us

Our Working Time: ( GMT 0:00-15:00 )
From Monday to Saturday

Support: Contact now

If you have any question please leave me your email address, we will reply and send email to you in 12 hours.

Disclaimer:
Actual4test doesn't offer Real SANS and GIAC Exam Questions.
Oracle and Java are registered trademarks of Oracle and/or its affiliates
Actual4test material do not contain actual actual Oracle Exam Questions or material.
Actual4test doesn't offer Real Microsoft Exam Questions.
Microsoft®, Azure®, Windows®, Windows Vista®, and the Windows logo are registered trademarks of Microsoft Corporation
Actual4test Materials do not contain actual questions and answers from Cisco's Certification Exams. The brand Cisco is a registered trademark of CISCO, Inc
CFA Institute does not endorse, promote or warrant the accuracy or quality of these questions. CFA® and Chartered Financial Analyst® are registered trademarks owned by CFA Institute.
Actual4test does not offer exam dumps or questions from actual exams. We offer learning material and practice tests created by subject matter experts to assist and help learners prepare for those exams. All certification brands used on the website are owned by the respective brand owners. Actual4test does not own or claim any ownership on any of the brands.