Large Language Model-Driven Cross-Domain Orchestration Using Multi-Agent Workflow
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arXiv
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| Main Authors: | , , , , , , , |
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| Format: | Preprint |
| Published: |
2024
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| _version_ | 1866916438469509120 |
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| author | Xu, Xiaonan Chen, Haoshuo Simsarian, Jesse E. Ryf, Roland Fontaine, Nicolas K. Mazur, Mikael Dallachiesa, Lauren Neilson, David T. |
| author_facet | Xu, Xiaonan Chen, Haoshuo Simsarian, Jesse E. Ryf, Roland Fontaine, Nicolas K. Mazur, Mikael Dallachiesa, Lauren Neilson, David T. |
| contents | We showcase an application that leverages multiple agents, powered by large language models and integrated tools, to collaboratively solve complex network operation tasks across various domains. The tasks include real-time topology retrieval, network optimization using physical models, and fiber switching facilitated by a robotic arm. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2410_10831 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Large Language Model-Driven Cross-Domain Orchestration Using Multi-Agent Workflow Xu, Xiaonan Chen, Haoshuo Simsarian, Jesse E. Ryf, Roland Fontaine, Nicolas K. Mazur, Mikael Dallachiesa, Lauren Neilson, David T. Multiagent Systems We showcase an application that leverages multiple agents, powered by large language models and integrated tools, to collaboratively solve complex network operation tasks across various domains. The tasks include real-time topology retrieval, network optimization using physical models, and fiber switching facilitated by a robotic arm. |
| title | Large Language Model-Driven Cross-Domain Orchestration Using Multi-Agent Workflow |
| topic | Multiagent Systems |
| url | https://arxiv.org/abs/2410.10831 |