LLM-as-Judge
Using a strong model to grade another model's output.
/ quick answer
LLM-as-judge automates eval scoring: give the judge the input, the output, and a rubric, and get a score. Cheap alternative to human labeling — with known biases (length, position) to control for. Using a strong model to grade another model's output.
/ frequently asked
What is LLM-as-Judge?
LLM-as-judge automates eval scoring: give the judge the input, the output, and a rubric, and get a score. Cheap alternative to human labeling — with known biases (length, position) to control for.
What is an example of LLM-as-Judge?
GPT-4 grades 500 summaries against a rubric: relevance 1-5, faithfulness 1-5.
Why does LLM-as-Judge matter?
Using a strong model to grade another model's output.
What should I learn after LLM-as-Judge?
Open the related workflows and prompts further down this page: they show how this idea is applied in a real task, step by step.
/ continue exploring
Related concepts
The vocabulary this page depends on.
- →Evals
Automated tests that grade LLM outputs against expected behavior.
Related workflows
Turn this into a repeatable process.
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Related tool stacks
The tools that run it in production.
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- →AI Research & Knowledge Stack
Default toolset for analysts, founders and creators doing deep research with AI.
Comparisons & alternatives
Pick between the options.
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Choosing between the two leading LLM API providers for production apps.
- →Lovable vs Cursor
Prompt-to-app builder vs AI-assisted code editor — which one should you reach for?