Original video in Chinese.
Key Takeaway
- Lowering the design barrier for Multi-Agent Systems is key to making AI personal assistant Agents widespread.
- The Agent AutoBuild project aims to let AI automatically generate Agents, simplifying the process of building Agent systems.
- With less than 20 lines of configuration code, Agent AutoBuild can have AI automatically generate and coordinate multiple Agent roles according to the task, such as Research Analyst and Content Writer.
- AutoBuild supports assigning different LLMs to the Builder and the Agents, and can save and call Agent configurations.
- The article emphasizes that the emergence of AutoGen and AutoBuild makes building Multi-Agent Systems no longer a difficult problem, and looks forward to further improvements in LLMs in terms of cost, speed, and stability.
Full Content
Bill Gates said that within five years, everyone will have an AI personal assistant Agent.
To make that happen, there’s a threshold we have to cross:
Lower the design barrier for Multi-Agent Systems.
Microsoft’s earlier AutoGen is very powerful and very useful, but it actually places fairly high demands on developers—you need to understand AI and understand business workflows. And once you switch to a new scenario, you have to build another setup again.
Since we’re already letting AI handle problems for us, why not just let AI generate the Agents too?
So, the Agent AutoBuild project was born.
Just like I demonstrated in the video, it can be configured in fewer than 20 lines of code. After startup, AI automatically generates a batch of Agents based on the task and has them work together in division of labor.
For example, for writing needs, four roles came into being: Research Analyst, Content Writer, Editor, and SEO Specialist.
Without any tuning, the article they produced exceeded my expectations.
AutoBuild can assign different LLMs to the Builder and the Agents separately. Right now I’m using GPT4-Turbo for everything. In theory, you can configure different LLMs as needed, such as open-source ones—you don’t have to use GPT4-Turbo. After all, it’s expensive and unstable right now.
Finally, if you’re satisfied with the generated Agents, you can save the config. When you use it later, AutoBuild can call it directly, without having to go through prompting the build manager again. If you’re not satisfied, or if there will be new tasks later, you can also delete it.
With AutoGen and AutoBuild, Multi-Agent Systems are no longer hard. We’re just waiting for the next round of LLM updates: cheaper, faster to respond, and more stable to run.