A summarization prompt was changed and responses became shorter.
Do not judge the change by length alone.
Choose two appropriate practices.
Use a fixed representative and boundary set for before-and-after comparison and measure accuracy, completeness, safety, latency, and cost.
Detailed explanation
One attractive metric can hide regressions.
Important content may be missing.
Comparability and reproducibility are lost.
The same inputs make the change comparable.
Check official documentation
Compare the following points with the official documentation.
AWS公式AIF-C01ガイドDomain 2.3・3.3のプロンプト評価と品質指標を確認する。
Official references
What to confirm
固定評価セットと多面的評価の必要性を説明できる。
Key points
- Fixed set
- Comparison
- Multiple metrics
Notes
- Environment: AWS公式AIF-C01試験ガイドとAWS公式ドキュメントの確認
- Compare the definition with the AIF-C01 objective and the service documentation before applying it.
- Keep the concept separate from a particular answer choice or implementation step.
Foundation review
Evaluation set
A fixed collection of representative, boundary, and risky inputs used for comparison.
Regression
A loss of previously accepted behavior after a prompt, model, or data change.