NCA-GENM Question 183
Select 3You are leading a team to deploy a multimodal generative AI model that incorporates both text and image data. To ensure adherence to best practices and maintain high software quality and reliability, which of the following steps should you prioritize during development and deployment?
- A
Implement robust logging and monitoring systems to track model performance in production.
- B
Avoid using automated testing tools, as they may introduce unnecessary complexity.
- C
Regularly evaluate the model against a diverse dataset to identify potential biases.
- D
Ensure the codebase is peer-reviewed and follows established coding standards.
- E
Focus solely on optimizing model accuracy, as this is the most critical measure of success.
Show answer and explanation
Correct answers: A, C, D
Explanation
Maintaining high standards of software quality and reliability in multimodal generative AI involves a combination of practices, including robust monitoring, addressing biases, and adhering to coding standards. These steps collectively enhance the model's performance, fairness, and maintainability, ensuring it meets the desired quality requirements.
- A. Correct.
Implementing robust logging and monitoring systems is essential for identifying and resolving issues in production, ensuring the reliability and performance of the AI system.
- B. Incorrect.
Avoiding automated testing tools is not a best practice. Automated testing helps ensure software quality by catching issues early in the development process.
- C. Correct.
Regularly evaluating the model against a diverse dataset is crucial for identifying and mitigating potential biases, which ensures fairness and reliability in the model's outputs.
- D. Correct.
Peer reviews and adherence to coding standards help maintain high software quality by minimizing bugs and ensuring consistent, maintainable code.
- E. Incorrect.
Focusing solely on model accuracy overlooks other critical factors like fairness, efficiency, and robustness, which are equally important for ensuring software quality and reliability.