Community
LLMxRay is built by LogneBudo and powered by the community. Whether you're sharing discoveries, contributing benchmarks, building tools, or teaching with LLMxRay — you're part of what makes this project grow.
Get Involved
Share Your Findings
Discovered something interesting about a model? Submit it to the Showcase — your finding may be featured in "Discovered with LLMxRay".
Contribute Content
- Community Benchmarks — Submit custom test suites via PR
- Community Tools — Share Tool Workshop templates via PR
Join the Conversation
- GitHub Discussions — Ask questions, share insights, discuss ideas
- Model Insights — Post interesting model behaviors
- Benchmark Results — Share and compare your benchmark runs
Show Your Work
Use the Built with LLMxRay badge in your projects and papers.
Teach with LLMxRay
The Educators Kit provides lab exercises, deployment guides, and assessment ideas for using LLMxRay in AI/ML courses.
Report Issues
Use our structured issue templates to report bugs or request features:
Contributing Code
See our Contributing Guide for development setup, code style, and PR process.