LLM-as-judge done right
Comes up in: AI engineering, AI system design
This concept is being written. It gets the full five steps — explanation, predict, interview angle, practice with tests, and review cards. Here is exactly what it will cover, so you can study it elsewhere in the meantime.
What it covers
- rubric design
- pairwise vs pointwise
- position and length bias
- calibrating against human labels
- using a different/stronger model to judge
- cost
Words you will know
What you will practise
- calibrate a judge to ≥ 80 % agreement with labels
Interview questions this answers
- How do you evaluate an LLM feature before launch?
- What are the pitfalls of LLM-as-judge and how do you calibrate it?
- How do you monitor an LLM system in production?