AI Lab · by Mariam Said · 2026-10-17

How are you evaluating LLM outputs without a giant labeling budget?

We use a mix of golden sets, LLM-as-judge and spot checks by humans. Judge models seem biased toward long answers. What is working for you?

25 sparks · 13 comments

Comments

We tried LLM evals last quarter, worked great for small stuff, got messy at scale

send help

cost vs benefit matters here, we ran numbers on LLM evals and the payoff came later than expected

send help

As someone who does this for a living, the biggest cost with LLM evals is the stuff nobody puts in the demo!

wait until you see the invoice

Is anyone else tired of the hype around LLM evals, feels like every other post is about it

The beginner friendly path for LLM evals is way better than a year ago, that part is underrated

Would love to see actual data on LLM evals instead of vibes. Anyone have links

My manager read one article on LLM evals and now it's our whole roadmap lol

yeah thats what I meant

LLM evaluation sounds simple until you try it with real constraints.

Mia Bauer · 8 likes

this. so much this