EDGE OSDEFINITION
LLM as a Judge is an evaluation methodology where one language model is used to assess the quality of another model's output. The judge model will look at different criteria to rate the outputs e.g. relevance, accuracy, completeness, helpfulness or following instructions. This can be used to score responses, compare responses and identify any issues within a large volume of outputs. An issue with using automated judges can cause bias or inconsistencies so it is important this is calibrated with human scores and appropriate test cases.
Why is LLM as a Judge Important?
- Scale – Can be used to review large volumes of AI generated responses.
- Consistent – Uses pre-defined scoring criteria.
- Speed – Can reduce the effort required to complete repetitive tasks.
- Compare models – Can be used to compare different prompts, models and setups.
- Monitor quality – Can be used to continually evaluate AI applications.
When should LLM as a Judge be used?
- To evaluate responses from enterprise AI assistants.
- Compare outputs between different LLMs.
- Evaluate relevance in RAG based QA.
- Review generated summaries and support responses.
- Measure compliance to content guidelines and response formatting.
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