QED-Nano is a web-based tool for visualizing and comparing AI models on theorem-proving benchmarks. It provides interactive scatter plots and detailed data for researchers and mathematicians interested in AI model evaluation.
In the LLM eval & observability space, QED-Nano takes a focused approach. It focuses on comparing AI models' performance on theorem-proving benchmarks visually and interactively. QED-Nano is a B2B product aimed at AI researchers and mathematicians. QED-Nano costs nothing to use. QED-Nano is available on the web, and it can be self-hosted.
It is developed by lm-provers, and it first shipped in 2024. Key capabilities include model comparison, scatter plot visualization, and benchmark data.
Summary written by a language model from the project’s public pages.
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