LLM Output Evaluation

advancedtestingMin 32K context

Defines repeatable quality evaluation for LLM outputs using representative datasets, scoring rubrics, model-graded checks, human review sampling, and regression thresholds.

Use Cases

  • LLM quality gates
  • Prompt benchmarking
  • Model migration validation

Example Prompt

Create an evaluation plan for this LLM feature, including representative cases, a scored rubric, automated checks, human-review sampling, and release thresholds.

Recommended Models

Compatible Tools

claude-codecursorkiroany

Modalities

Input: text, file
Output: text, code

Related Skills

Author

OpenModels Community

@openmodelsrun