
RAM
A framework to study AI models in Reasoning, Alignment, and use of Memory (RAM).
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This repository, RAM, focuses on developing advanced algorithms and methods for Reasoning, Alignment, Memory. It contains projects related to these areas and is maintained by a team of individuals. The repository is licensed under the MIT License.
README:
This repository focuses on developing advanced algorithms and methods for RAM (Reasoning, Alignment, Memory).
Please go to Projects for a up-to-date list of projects released by RAM.
Please read CONTRIBUTING.md for details on our code of conduct, and the process for submitting pull requests.
This project is licensed under the MIT License - see the LICENSE
file for details. The license applies to the released data as well.
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.
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