How to test the ai llm judge - day 07
Evaluating the evaluator: why your LLM-as-a-judge is a system under test that needs its own validation.
Evaluating the evaluator: why your LLM-as-a-judge is a system under test that needs its own validation.
Evaluating the logic behind having an LLM judge another LLMās output. Establishing a helpfulness rubric and confronting definitions.
Putting predictable constraints and standard expectations to the test, evaluating how the LLM judge grades standard formatting and basic rules.
You donāt need thousands of test cases to begin. Five carefully chosen examples are more than enough to boot up your AI evaluation pipeline.
Increasing the complexity of prompt inputs to see how the LLM judge responds and analyzing its limits when prompt length grows.