Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
https://github.com/facebookresearch/RAM
A framework to study AI models in Reasoning, Alignment, and use of Memory (RAM).
https://github.com/facebookresearch/RAM
Last synced: about 2 months ago
JSON representation
A framework to study AI models in Reasoning, Alignment, and use of Memory (RAM).
- Host: GitHub
- URL: https://github.com/facebookresearch/RAM
- Owner: facebookresearch
- License: mit
- Created: 2023-12-09T03:12:21.000Z (11 months ago)
- Default Branch: main
- Last Pushed: 2024-09-17T19:07:15.000Z (about 2 months ago)
- Last Synced: 2024-09-18T10:27:39.868Z (about 2 months ago)
- Language: Python
- Homepage:
- Size: 777 KB
- Stars: 38
- Watchers: 9
- Forks: 1
- Open Issues: 1
-
Metadata Files:
- Readme: README.md
- Contributing: CONTRIBUTING.md
- License: LICENSE
- Code of conduct: CODE_OF_CONDUCT.md
Awesome Lists containing this project
- Awesome-LLM-Reasoning - facebookresearch/RAM
README
# RAM
## Introduction
This repository focuses on developing advanced algorithms and methods for RAM (Reasoning, Alignment, Memory).## Projects
Please go to [Projects](projects/README.md) for a up-to-date list of projects released by RAM.## Contributing
Please read CONTRIBUTING.md for details on our code of conduct, and the process for submitting pull requests.## License
This project is licensed under the MIT License - see the `LICENSE` file for details. The license applies to the released data as well.## Contact
RAM is currently maintained by Olga Golovneva, Ilia Kulikov, Janice Lan, Xian Li, Richard Pang, Sainbayar Sukhbaatar, Tianlu Wang, Jason Weston, Jing Xu, Jane Dwivedi-Yu, Ping Yu, Weizhe Yuan.
For any queries, please reach out to [Jing Xu](https://github.com/jxmsML).