Development Roadmap
Bench Labs
community
AI & ML interests
Generalization
Recent Activity
Organization Card
Who We Are
An open research, friendly community expanding AI capability at edge.
What We Do
- Build benchmarks and datasets
- Evaluate models with partners
Principles
We prioritize more quality than quantity — minimal overhead, public ilterations.
Latest Releases
Why Generalization?
Modern AI feels intelligent. Out-of-distribution challenges and benchmarks evaluate it.
Name Conventions
We use simple and consistent naming syntax.
Difficulty levels: effortless · easy · mid · hard · ultra hard
Highter level indicates highter quality.
Dataset naming format:
(bench)-(tier)