I put a price tag on quality - day 10
Written by - Millan Kaul
I tested two models today. One answer was only slightly better and much more expensive.
What I did today:
I ran the same small dataset through two model options and estimated the cost per response. Then I compared that cost with the quality improvement I could actually see.
What surprised me:
I had a strong opinion about quality, but no opinion about whether that quality was worth paying for.
My QA takeaway:
- An eval score without cost context is incomplete.
- The best AI answer is not always the best business decision.
Would you pay 10x more for a 5% quality lift?
#AIEvals #AIProduct #LLMOps