# TaskMatrix.AI: Completing Tasks by Connecting Foundation Models with Millions of APIs

**Authors:** Yaobo Liang, Chenfei Wu, Ting Song, Wenshan Wu, Yan Xia, Yu Liu, Yang Ou, Shuai Lu, Lei Ji, Shaoguang Mao, Yun Wang, Linjun Shou, Ming Gong, Nan Duan  
**arXiv:** [2303.16434](https://arxiv.org/abs/2303.16434)  
**Date:** 2023-03-29  
**Summary page:** https://www.summarizepaper.com/en/paper/2303.16434v1/

## Key points

- Artificial Intelligence (AI) has made significant strides in recent years
- Advanced foundation models like ChatGPT offer powerful conversation and code generation abilities for open-domain tasks
- TaskMatrix.AI is a new AI ecosystem that leverages existing foundation models as a central system and APIs from other AI models and systems as sub-task solvers
- The key components of TaskMatrix.AI include the task proposal module, API matching module, and execution engine module
- TaskMatrix.AI offers a promising solution to efficiently solve complex problems in various fields by leveraging existing foundation models and APIs from other systems.

## Summary

Artificial Intelligence (AI) has made significant strides in recent years, with advanced foundation models like ChatGPT offering powerful conversation and code generation abilities for open-domain tasks. To address the challenge of connecting disparate AI systems for efficient task completion across domains, Yaobo Liang and colleagues introduce TaskMatrix.AI as a new AI ecosystem that leverages existing foundation models as a central system and APIs from other AI models and systems as sub-task solvers. The authors present their vision for building such an ecosystem, outlining key components such as the task proposal module, API matching module, and execution engine module. They also provide study cases to illustrate the feasibility of their vision while highlighting the main challenges they need to address next. Overall, TaskMatrix.AI offers a promising solution to efficiently solve complex problems in various fields by leveraging existing foundation models and APIs from other systems.