Post
2085
๐ฅณ ๐ง๐ฟ๐ฎ๐ป๐๐ณ๐ผ๐ฟ๐บ๐ฒ๐ฟ๐ ๐๐ด๐ฒ๐ป๐๐ ๐ป๐ผ๐ ๐๐๐ฝ๐ฝ๐ผ๐ฟ๐๐ ๐ ๐๐น๐๐ถ-๐ฎ๐ด๐ฒ๐ป๐ ๐๐๐๐๐ฒ๐บ๐!
Multi-agent systems have been introduced in Microsoft's framework Autogen. It simply means having several agents working together to solve your task instead of only one : this paradigm empirically yields better performance on most benchmarks. The reason for this better performance is conceptually simple: for many tasks, rather than using a do-it-all system, you would prefer to specialize units on sub-tasks. Here, having agents with separate tool sets and memories allows to achieve efficient specialization.
You can now easily build hierarchical multi-agent systems with transformers.agents (not released yet, use the dev version)
To do so, encapsulate the agent in a ManagedAgent object. This object needs arguments agent, name, and a description, which will then be embedded in the manager agent's system prompt to let it know how to call this managed agent, as we also do for tools.
Cf the example in the image! We'll keep building on this paradigm in the upcoming weeks ๐
Read more in the doc ๐ https://github.com/huggingface/transformers/blob/main/docs/source/en/agents_advanced.md
Checkout an advanced multi-agent system that tops the GAIA leaderboard ๐ https://github.com/aymeric-roucher/GAIA/blob/main/gaia_multiagent.py
Multi-agent systems have been introduced in Microsoft's framework Autogen. It simply means having several agents working together to solve your task instead of only one : this paradigm empirically yields better performance on most benchmarks. The reason for this better performance is conceptually simple: for many tasks, rather than using a do-it-all system, you would prefer to specialize units on sub-tasks. Here, having agents with separate tool sets and memories allows to achieve efficient specialization.
You can now easily build hierarchical multi-agent systems with transformers.agents (not released yet, use the dev version)
To do so, encapsulate the agent in a ManagedAgent object. This object needs arguments agent, name, and a description, which will then be embedded in the manager agent's system prompt to let it know how to call this managed agent, as we also do for tools.
Cf the example in the image! We'll keep building on this paradigm in the upcoming weeks ๐
Read more in the doc ๐ https://github.com/huggingface/transformers/blob/main/docs/source/en/agents_advanced.md
Checkout an advanced multi-agent system that tops the GAIA leaderboard ๐ https://github.com/aymeric-roucher/GAIA/blob/main/gaia_multiagent.py