openjudge
SolidBuild custom LLM evaluation pipelines using the OpenJudge framework. Covers selecting and configuring graders (LLM-based, function-based, agentic), running batch evaluations with GradingRunner, combining scores with aggregators, applying evaluation strategies (voting, average), auto-generating graders from data, and analyzing results (pairwise win rates, statistics, validation metrics). Use when the user wants to evaluate LLM outputs, compare multiple models, design scoring criteria, or build an automated evaluation system.
Install
Quality Score: 92/100
Skill Content
Details
- Author
- agentscope-ai
- Repository
- agentscope-ai/OpenJudge
- Created
- 10 months ago
- Last Updated
- 3 days ago
- Language
- Python
- License
- Apache-2.0
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