NVIDIA NCA-GENL Online Practice Questions and Exam Preparation

NVIDIA NCA-GENL Online Questions & Answers

• Question 111:

  Which of the following best describes fine-tuning in the context of large language models?

  A. Training a model from scratch using a small dataset
  B. Adjusting a pre-trained model using task-specific data
  C. Reducing the size of the model for faster inference
  D. Converting text into token embeddings
  B. Adjusting a pre-trained model using task-specific data

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  Explanation

  Fine-tuning involves taking a pre-trained model and adapting it to a specific task using additional task-specific data, improving performance for that domain. This aligns with NVIDIA's explanation of adapting foundation models.

  Option A is incorrect because fine-tuning does not involve training from scratch.

  Option C refers to optimization techniques, not fine-tuning.

  Option D describes embedding, not model adaptation.