LLM-as-a-Judge: How to Build Reliable AI Evaluation Systems

Author(s): Rohan Mistry Originally published on Towards AI. Calibrate your judge. Detect its biases. Trust your scores. Your LLM judge might be lying to you. After introducing the problem of uncalibrated LLM evaluators, the article explains what LLM-as-a-judge actually is (a model scoring another model’s output using criteria/rubrics), why teams use it instead of human review or string/code checks, and the three common judging modes—single-output scoring, pairwise comparison, and reference-based

Original reporting by Towards AI · Rohan Mistry. GridIndex is an aggregation and intelligence layer — full credit to the original publisher.