Research Community is a collaborative platform that creates scientifically grounded research outputs and a robust deployment infrastructure aimed at broader impact evaluations. It offers a community‑governed open‑source system that unifies evaluation results under a shared metadata schema, facilitating practical AI evaluation workflows for model developers and researchers. The platform also hosts workshops, meetups, and tutorials to foster knowledge sharing and community involvement.
Funding
Funding not disclosed
Founders
Product
Problem
AI model developers and evaluation researchers often produce results in disparate formats and lack a common infrastructure for sharing, reproducing, and scaling impact assessments. This fragmentation hampers transparency, collaboration, and the ability to compare evaluations across studies.
Solution
Research Community addresses these gaps by offering an open‑source platform called Every Eval Ever, which standardizes evaluation outputs using a shared metadata schema. The platform provides tools for publishing, storing, and retrieving evaluation artifacts, enabling researchers to reproduce results and compare findings across models. It also includes deployment infrastructure that automates large‑scale evaluation runs, making it easier to assess broader societal impacts of AI systems. By unifying data and providing scalable execution, the community facilitates collaborative, transparent, and actionable AI assessments.
Target Audience
Primary users are AI model developers, evaluation researchers, and academic or industry teams that need standardized, reproducible frameworks for large‑scale impact assessments of AI systems.
Features
- Unified metadata schema that normalizes evaluation results from diverse AI models and tasks
- Open‑source repository for publishing and versioning evaluation artifacts, including datasets, metrics, and code
- Automated deployment pipelines that orchestrate large‑scale evaluation jobs on cloud or on‑premise resources
- Built‑in reproducibility checks and provenance tracking to ensure transparent result verification
- Community governance model that allows contributors to propose extensions and maintain the platform collectively