Summary of Os-copilot: Towards Generalist Computer Agents with Self-improvement, by Zhiyong Wu et al.
OS-Copilot: Towards Generalist Computer Agents with Self-Improvement
by Zhiyong Wu, Chengcheng Han, Zichen Ding, Zhenmin Weng, Zhoumianze Liu, Shunyu Yao, Tao Yu, Lingpeng Kong
First submitted to arxiv on: 12 Feb 2024
Categories
- Main: Artificial Intelligence (cs.AI)
- Secondary: None
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary A novel framework, OS-Copilot, is introduced for building digital agents that can interact with a wide range of operating system (OS) elements, including the web, code terminals, files, multimedia, and various third-party applications. This generalist approach enables the creation of self-improving embodied agents like FRIDAY, which outperforms previous methods by 35% on the GAIA benchmark for general AI assistants. By learning to control and improve skills through minimal supervision, FRIDAY demonstrates strong generalization capabilities. The OS-Copilot framework provides a foundation for future research into more capable and general-purpose computer agents. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary A team of researchers has developed a way to create digital agents that can work with many different parts of a computer. This agent, called FRIDAY, is very good at doing tasks on its own without needing human help all the time. It learned how to use software like Excel and Powerpoint by practicing and getting better over time. This technology has the potential to make computers more helpful and useful in our daily lives. |
Keywords
» Artificial intelligence » Generalization
