R1-V Community Engagement Guide
R1-V, as a fully open source project, is very open to participation and contributions from the developer community. The main ways to participate include:
1. Basic modalities of participation
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- star/watch projects on GitHub
- Submission of issue report issues or recommendations
- Copy (fork) the project for personal experimentation
2. Technology contribution pathways
- Submit Pull Request to improve core code
- Expanding New Functional Modules
- Optimize the efficiency of existing algorithms
- Writing Test Cases
- Improved documentation and tutorials
3. Community interaction
- Participate in Discussions of the project
- Share your own use cases
- Help answer questions from other developers
The project team particularly encourages contributions in the following directions:
- Innovations in incentives for enhanced learning
- Expansion of multimodal tasks
- Deployment of optimized solutions
- Implementation of cross-language support
All contributors will be listed as contributors to the project, and quality contributions are more likely to become core members of the project.
This answer comes from the articleR1-V: Low-Cost Reinforcement Learning for Visual Language Model Generalization CapabilitiesThe
May not be reproduced without permission:AI productivity tools " How can developers get involved in the R1-V open source project?
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