gum-ai 0.1.2

No project description provided

GUM (General User Models)

General User Models learn about you by observing any interaction you have with your computer. The GUM takes as input any unstructured observation of a user (e.g., device screenshots) and constructs confidence-weighted propositions that capture the user's knowledge and preferences. GUMs introduce an architecture that infers new propositions about a user from multimodal observations, retrieves related propositions for context, and continuously revises existing propositions.

Documentation

Please go here for documentation on setting up and using GUMs: https://generalusermodels.github.io/gum/

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

License

MIT License

Citation and Paper

If you're interested in reading more, please check out our paper!

Creating General User Models from Computer Use

@misc{shaikh2025creatinggeneralusermodels,
    title={Creating General User Models from Computer Use}, 
    author={Omar Shaikh and Shardul Sapkota and Shan Rizvi and Eric Horvitz and Joon Sung Park and Diyi Yang and Michael S. Bernstein},
    year={2025},
    eprint={2505.10831},
    archivePrefix={arXiv},
    primaryClass={cs.HC},
    url={https://arxiv.org/abs/2505.10831}, 
}