auto-arena
OfficialBenchmark AI models automatically.
Software Engineering#llm evaluation#model comparison#automated testing#ai benchmarking#arena evaluation#performance ranking
Authoragentscope-ai
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill automates the complex process of comparing multiple AI models or agents on custom tasks, eliminating the need for pre-existing test data and manual evaluation.
Core Features & Use Cases
- End-to-End Evaluation: From query generation to final ranking, the entire process is automated.
- Automated Query Generation: Creates diverse test queries based on a task description.
- Response Collection: Gathers outputs from multiple target AI endpoints concurrently.
- Auto-Generated Rubrics: Creates evaluation criteria dynamically.
- Pairwise Comparison: Uses a judge model for robust, bias-aware comparisons.
- Ranking & Reporting: Produces win-rate rankings, reports, and charts.
- Use Case: You want to compare the performance of GPT-4, Claude 3, and Gemini Pro on generating marketing copy for a new product. This Skill will generate prompts, collect responses from each model, have a judge model compare them, and provide a clear ranking of which model performed best.
Quick Start
Use the auto-arena skill to compare two AI models on a customer service chatbot task.
Dependency Matrix
Required Modules
matplotlib
Components
scriptsreferences
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: auto-arena Download link: https://github.com/agentscope-ai/OpenJudge/archive/main.zip#auto-arena Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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