NCA-GENM Question 80
Single answerYou are tasked with evaluating different model architectures for a generative AI system that processes both text and image data. During experimentation, you notice that one model consistently produces outputs with lower quality on text-based tasks but excels in image generation. What is the most appropriate next step to evaluate the suitability of this model for deployment?
- A
Conduct a task-specific evaluation to compare the model's performance on text and image tasks separately.
- B
Deploy the model immediately since it excels in at least one task.
- C
Switch to a completely different model architecture without further evaluation.
- D
Fine-tune the model on a text dataset to improve its performance on text-based tasks and re-evaluate.
Show answer and explanation
Correct answer: A
Explanation
Evaluating a generative AI model's performance on each task individually is critical for understanding its strengths and weaknesses. This allows for informed decisions about whether the model is suitable for deployment as-is, requires fine-tuning, or should be replaced. Deploying or fine-tuning without proper evaluation risks suboptimal performance and unnecessary use of resources.
- A. Correct.
This is the correct option as it ensures a more detailed evaluation of the model's strengths and weaknesses before making deployment decisions.
- B. Incorrect.
This is incorrect because deploying the model without a comprehensive evaluation could lead to poor performance on tasks it struggles with.
- C. Incorrect.
This is incorrect because switching to a new architecture prematurely could waste resources and overlook improvements that could be made to the current model.
- D. Incorrect.
This is incorrect because fine-tuning should only occur after a thorough evaluation confirms it is necessary and feasible.