Free video · E09
Regression and red lines: Iteration without regression
Chinese narration · Chinese captions · 15:06 · Video published on
This series uses AI-assisted voice narration; rely on the page disclosures and text curriculum for the content boundary. Examples are teaching scenarios, not evidence of customer outcomes.
Episode summary
Use model and prompt changes to define regression checks and comparable baselines. Connect model evaluation, software tests, data checks and independent red lines to release decisions so averages cannot conceal critical failures.
- Record model, prompt, context, dataset and judge versions. Calibrate changed judges or rubrics before comparing scores from different measures.
- Choose regression scope from affected behavior and assign owners and proceed/stop conditions. Layers and numbers are teaching examples; agree actual thresholds beforehand.
- Scores cannot compensate for prohibited failures, and deleting tests or weakening assertions cannot establish a pass. Passing tests cover only the checked scope; review implementation and omitted risks.
This is an editorial learning summary, not a transcript. Check the text lessons for conceptual boundaries.
Practice after watching
Create a change log for a synthetic prompt edit covering baseline, candidate, test scope, prohibitions and stop conditions. Leave actual scores unfilled until a real model run.
Open the exercise, example and reference →