Your eval dashboard has 30 metrics. When one "moves," that is usually arithmetic, not a regression.
Article summary
Quick briefing — cleaned from the original RSS feed
Here is the ritual. You ship a prompt change, rerun the eval suite, and open the dashboard. Thirty numbers sit there: faithfulness, answer relevance, context precision, toxicity, latency-adjusted quality, and two dozen more. Twenty-nine are flat. One dropped from 0.86 to 0.81 and the cell is red. Someone says "we regressed on groundedness," and the next hour goes to explaining a number that never needed explaining. I want to make the boring case that most of these red cells are not findings.…
1Key Takeaways
- You ship a prompt change, rerun the eval suite, and open the dashboard.
- Thirty numbers sit there: faithfulness, answer relevance, context precision, toxicity, latency-adjusted quality, and two dozen more.
- One dropped from 0.86 to 0.81 and the cell is red.
- Someone says "we regressed on groundedness," and the next hour goes to explaining a number that never needed explaining.
2AIWedia Score
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3Why it matters
Coding AI shifts how fast software ships and how much human review each change needs. DEV — ML reports that you ship a prompt change, rerun the eval suite, and open the dashboard.
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