AutoArena
Automated GenAI evaluation that works
Listed in categories:
Developer ToolsArtificial IntelligenceOpen Source
Description
AutoArena is an automated generative AI evaluation tool designed to assess LLMs, RAG systems, and generative AI applications through reliable head-to-head judgment. It offers a trustworthy evaluation process that is fast, accurate, and cost-effective, allowing users to find the best version of their systems without extensive resources.
How to use AutoArena?
To use AutoArena, simply install it locally using 'pip install autoarena', input user prompts and model responses from your generative AI system, and start testing in seconds. You can also collaborate with team members on the AutoArena Cloud or set up dedicated on-premise deployments for enterprise use.
Core features of AutoArena:
1️⃣
Automated head-to-head evaluation of generative AI applications
2️⃣
Use of judge models from various providers for reliable results
3️⃣
Elo scoring and Confidence Intervals for ranking
4️⃣
Fine-tuning judge models for domain-specific evaluations
5️⃣
Integration with CI/CD for continuous evaluation
Why could be used AutoArena?
| # | Use case | Status | |
|---|---|---|---|
| # 1 | Evaluating different versions of generative AI systems to determine the best performer | ✅ | |
| # 2 | Collecting human preferences for custom judge model fine-tuning | ✅ | |
| # 3 | Integrating evaluation processes into CI/CD pipelines for ongoing assessment | ✅ | |
Who developed AutoArena?
AutoArena is developed by Kolena, a company focused on providing tools for evaluating generative AI systems. They emphasize open-source solutions and community support, making their tools accessible for various users, including students and researchers.