摘要
阅读回答“Because vendors optimise for public benchmarks, and a high score on questions the vendor has seen tells you little about behaviour on your documents.
Thinkerwave AITech · Testing ai financial accuracy
thinkerwave.ai
阅读原始来源，再探索采用它的已发布回答与指南。
采用这份来源的回答
1 篇内容引用这份文件的已发布公司回答及指南。
摘要
阅读回答“Correct refusals.
摘要
阅读回答“Twenty is enough to be useful in a day, including four malformed ones.
完整已发布资料
Thinkerwave AITech
这份来源提供的资料
Why not just use a public benchmark score?
在公司资料中查看“Because vendors optimise for public benchmarks, and a high score on questions the vendor has seen tells you little about behaviour on your documents. Build a set from filings your own team already knows the answers to. Treat any headline accuracy number as a starting question, not an answer.”
What is the single most important thing to measure?
在公司资料中查看“Correct refusals. A system that answers a malformed or unanswerable question with a confident number is the one that loses you money in production. Most evaluations never score refusals at all, which is why they miss the failure mode that matters most in a regulated setting.”
How many questions do I need?
在公司资料中查看“Twenty is enough to be useful in a day, including four malformed ones. The point is not statistical power. It is to observe how the system behaves on questions where you already know the truth, and on questions that should be refused.”
关于 Thinkerwave AITech
ThinkerWave: “ThinkerWave AITech is a deep-tech AI company founded by Vikas Goel, building AI for complex, contested, high-stakes problems. Its first product is a self-evolving, multi-agent reasoning engine.”
来源与资料详情
- 原始文件
- Thinkerwave AITech: /guides/testing-ai-financial-accuracy