NCA-GENL Question 149
Select 3You are developing a custom Large Language Model (LLM) application for a customer using NVIDIA's NeMo framework. During the development process, you need to ensure that the model's performance aligns with the customer's requirements. Which of the following steps should you prioritize to create, maintain, and test the software effectively?
- A
Use NeMo's pre-trained models as a base and fine-tune on domain-specific data.
- B
Continuously evaluate the model with synthetic datasets only, as they are easier to control.
- C
Implement a version control system to track changes in datasets, code, and hyperparameters.
- D
Conduct regular inference tests using real-world customer data to validate model outputs.
- E
Skip testing the model until deployment to save time during the development phase.
Show answer and explanation
Correct answers: A, C, D
Explanation
Developing an effective LLM application requires leveraging pre-trained models for efficiency, maintaining robust version control practices, and conducting comprehensive testing with real-world data. These steps ensure the software is created, maintained, and tested to meet performance and reliability standards.
- A. Correct.
Using NeMo's pre-trained models and fine-tuning them on domain-specific data is a best practice to quickly create a performant LLM tailored to the customer's needs.
- B. Incorrect.
While synthetic datasets can be useful, relying solely on them may not capture the nuances of real-world scenarios, leading to less effective testing.
- C. Correct.
Implementing a version control system is critical for maintaining reproducibility and tracking changes during the development lifecycle.
- D. Correct.
Testing with real-world customer data ensures that the model's outputs align with the actual use cases and helps identify potential issues early in the development process.
- E. Incorrect.
Skipping testing until deployment is a poor practice that increases the risk of undetected issues and customer dissatisfaction.