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Here are a few practical reasons for multi-agent systems: 1. LLMs handle narrower, simpler instructions better - decomposing into multiple agents improves reli
by segmenta 1y ago
Here are a few practical reasons for multi-agent systems:
1. LLMs handle narrower, simpler instructions better - decomposing into multiple agents improves reliability (related to instruction following accuracy).
2. Similarly, tool-calling accuracy improves when each agent has a smaller set of specific tools assigned to them.
3. Smaller agents mean prompt changes (which aren't very deterministic) can be isolated and tested more easily.
4. Dividing agents by task enables stronger, more precise guardrails for real-world use cases.
Happy to discuss further!
- simonw 1y agoThat's a really good answer. I suggest turning that into a set of working examples to help promote the idea - part of my hesitance around this is that it sounds good on paper but I've not seen convincing evidence that it works yet. (Claude Code is an example that I believe does make good use of this pattern, but it's frustratingly closed source.)
- segmenta 1y agoThat’s a great suggestion, and I get the hesitation - we'll work on adding more concrete examples to help make the case!
- pylotlight 1y agoThis article talks about it somewhat I think as well. Highlighting the difference between more advanced workflows and agentic style systems vs 'agents' https://blog.langchain.dev/how-to-think-about-agent-frameworks/ https://blog.langchain.dev/how-to-think-about-agent-framewor...