The Lifecycle of LLM-as-a-Judge: Building, Aligning, and Monitoring at scale

By Emma Yanyang Kong, JJ Tan, Ishan Gupta, Lars Olds, Claire Campbell, David Fagnan, Ratna Kavuri, Rohan Gosain, Veli Balin, Minsu Jang, Louis GarciaIntroductionAny team generating text with an LLM at scale hits the same problem. You cannot evaluate everything manually. You don't know which outputs are great, which are mediocre, and which are harmful, because you simply cannot read them all. The standard solution is LLM-as-a-Judge, a second model that scores the first model’s output as a proxy for human…

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