An open platform for evaluating AI based on human preference—help improve AI systems through real, meaningful human feedback.
This open platform for evaluating AI enables researchers, developers, and curious users to assess AI outputs through direct human feedback. Rather than relying on benchmarks alone, the platform prioritizes real-world preferences to guide improvement.
Ideal for AI developers, ML researchers, data scientists, and even general users interested in AI fairness or performance, this tool facilitates side-by-side comparisons of model outputs. Participants vote based on quality, clarity, or alignment with human intent.
The platform is built with transparency in mind. It supports open access, reproducible evaluations, and collaborative development—making it a valuable resource for both academic and applied AI research.
Whether you're testing model alignment, comparing responses from different AI systems, or simply contributing to the evolution of AI tools, this platform provides a clear, human-centered evaluation framework. It's a practical and ethical step forward in AI development.
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