autoarena

• autoarena.app (opens in a new tab)
• producthunt autoarena (opens in a new tab)
• kolena.com (opens in a new tab)

Evaluate LLMs, RAG systems, and generative AI applications using automated head-to-head judgement. Trustworthy evaluation is within reach.

automated head-to-head evaluation

Testing Generative AI applications doesn't need to hurt Fast, accurate, cost-effective — automated head-to-head evaluation is a reliable way to find the best version of your system.

Head-to-head evaluation using judge models yields trustworthy results

• LLM-as-a-judge is a proven technique (opens in a new tab) and judge models generally perform better in pairwise comparison than when evaluating single responses
• Use judge models from OpenAI, Anthropic, Cohere, Google, Together AI and other proprietary APIs or use open-weights judge models running via Ollama locally
• Turn many head-to-head votes into leaderboard rankings by computing Elo scores and Confidence Intervals

"juries" of LLM judges

Use "juries" of LLM judges for a faster, cheaper, and more accurate signal

• Multiple smaller, faster, and cheaper judge models tends to produce a more reliable signal (opens in a new tab) than a single frontier model
• Let AutoArena handle parallelization, randomization, correcting bad responses, retrying, rate limiting, and more so that you don't have to
• Reduce evaluation bias by using different judge models from different families like GPT, Command-R, and Claude
• Spend less time and less money on better evaluations

Fine-tune judge models. Domain-specific evaluations

Fine-tune judge models for more accurate, domain-specific evaluations

• Use the head-to-head voting interface to collect human preferences that can be leveraged for custom judge fine-tuning on autoarena.app
• Achieve >10% accuracy improvements for human preference alignment over frontier models
• Call your fine-tuned judge model via API or download its weights to run it yourself

Evaluate genAI in CI

• Set up automations in your source code repository to block bad prompt changes, preprocessing or postprocessing updates, or RAG system updates
• Learn how the latest version of your system stacks up against previous versions of your system
• Integrate via a GitHub bot that comments on your pull requests

Run locally, in the cloud, or on-prem

• Install locally with pip install autoarena and start testing in seconds
• Only inputs (user prompts) and outputs (model responses) from your Generative AI system are required for testing
• Collaborate with team members on AutoArena Cloud at autoarena.app
• Dedicated, on-premise deployments on your own infrastructure available for enterprises