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.
–arXiv.org Artificial Intelligence
However, the use of LLMs for orchestrating We assign one chat group to the OTN domain and another networks across multiple domains has not yet been to the robotic domain, each containing multiple intelligent demonstrated. Cross-domain network orchestration is essential agents with specific roles: 1) a manager automatically selects for delivering dynamic, scalable, and high-performance the appropriate agent based on the task request, each agent's services in today's vertical networks[3].
arXiv.org Artificial Intelligence
Sep-28-2024
- Country:
- North America > United States (0.05)
- Genre:
- Workflow (0.54)
- Research Report (0.40)
- Industry:
- Information Technology (0.48)
- Telecommunications (0.31)
- Technology:
- Information Technology > Artificial Intelligence
- Robots (1.00)
- Representation & Reasoning > Agents (1.00)
- Natural Language > Large Language Model (0.95)
- Information Technology > Artificial Intelligence