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Update multi-agent-collaboration.ipynb (#3233)

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Harsh Nevse
2025-01-29 11:48:54 -05:00
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docs/docs/tutorials/multi_agent/multi-agent-collaboration.ipynb
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@@ -14,7 +14,7 @@
"\n",
"A single agent can usually operate effectively using a handful of tools within a single domain, but even using powerful models like `gpt-4`, it can be less effective at using many tools. \n",
"\n",
"One way to approach complicated tasks is through a \"divide-and-conquer\" approach: create an specialized agent for each task or domain and route tasks to the correct \"expert\". This is an example of a [multi-agent network](https://langchain-ai.github.io/langgraph/concepts/multi_agent/#network) architecture.\n",
"One way to approach complicated tasks is through a \"divide-and-conquer\" approach: create a specialized agent for each task or domain and route tasks to the correct \"expert\". This is an example of a [multi-agent network](https://langchain-ai.github.io/langgraph/concepts/multi_agent/#network) architecture.\n",
"\n",
"This notebook (inspired by the paper [AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation](https://arxiv.org/abs/2308.08155), by Wu, et. al.) shows one way to do this using LangGraph.\n",
"\n",