The average response time is the correct metric for measuring the runtime efficiency of operating AI models.
Average Response Time:
Refers to the time taken by the model to generate an output after receiving an input. It is a key metric for evaluating the performance and efficiency of AI models in production.
A lower average response time indicates a more efficient model that can handle queries quickly.
Why Option C is Correct:
Measures Runtime Efficiency: Directly indicates how fast the model processes inputs and delivers outputs, which is critical for real-time applications.
Performance Indicator: Helps identify potential bottlenecks and optimize model performance.
Why Other Options are Incorrect:
A. Customer satisfaction score (CSAT): Measures customer satisfaction, not model runtime efficiency.
B. Training time for each epoch: Measures training efficiency, not runtime efficiency during model operation.
D. Number of training instances: Refers to data used during training, not operational efficiency.
