Skip to main content
ITPrepCerts
Login
Exams Free Samples About Contact
Login Create an account

NCA-GENM NCA - Generative AI Multimodal

  • NVIDIA
  • 6 free sample questions

About this exam

NCA-GENM is the NVIDIA exam NCA - Generative AI Multimodal. Paid practice material for this exam is not available yet, but you can try its free sample questions.

Exam code
NCA-GENM
Vendor
NVIDIA
Practice questions
Not available yet
Free sample questions
6
Question bank last updated
Not available yet

Try 2 sample questions

Taken from the free sample set for NCA-GENM.

Question 1

After fine-tuning a large language model (LLM) for generating legal documents, what is the most
effective way to assess whether the fine-tuning has improved the model’s performance for this specific
task?

  1. Option A:
    Measuring the speed at which the fine-tuned model generates text, regardless of content accuracy
  2. Option B:
    Evaluating the model’s output against a benchmark dataset of legal documents that it has never
    seen before.
  3. Option C:
    Comparing the fine-tuned model’s output with that of a non-fine-tuned model on random text generation tasks.
  4. Option D:
    Testing the fine-tuned model on a set of common, non-legal text generation tasks to measure
    general improvement.
Show answer and explanation

Correct answer: B

Evaluating the model's output against a benchmark dataset of unseen legal documents ensures that the
fine-tuning improves performance for the specific legal task, making it a reliable method of assessment.

Question 2

To enhance the trustworthiness of an AI system used for healthcare diagnostics, which approach involving NVIDIA technologies is most appropriate? 

  1. Option A:
    Using NVIDIA GPUs to increase the speed of diagnosis without focusing on data security
  2. Option B:
    Prioritizing the collection of large amounts of patient data over maintaining patient privacy.
  3. Option C:
    Implementing NVIDIA Clara’s privacy-preserving federated learning to train the AI on sensitive patient data across multiple institutions without sharing the data
  4. Option D:
    Training the AI solely on data from a single medical institution to streamline the process. 
Show answer and explanation

Correct answer: C

NVIDIA Clara’s privacy-preserving federated learning allows AI models to be trained on sensitive data across multiple institutions without directly sharing patient data, enhancing both privacy and performance.
See all 6 free sample questions