Model performance is judged against the task and user need, not by one universal score. Balance quality with cost, governance, and scalability, and avoid treating performance as the only measure of product success. section 1.5 section 5.5
Evaluate and improve performance by:
- Using standardized benchmarks such as MMLU or SQuAD early, then adding task-specific metrics such as accuracy, readability, or brand alignment. section 5.5
- Testing with relevant examples, gathering user feedback, and iterating on data and model behavior. section 1.5 section 5.5
Quantifying efficiency
A predictive analytics platform reduces planners’ weekly data-aggregation work from two hours to ten minutes each. Across ten planners, that saves about 18.33 hours weekly, or approximately $47,658 in annual employee time at $50 per hour. section 12.3.1
