What if multi-agent LLMs could dynamically reconfigure their communication for any task? Researchers from Shanghai Jiao Tong University and Meituan present AgentConductor. This new system uses an LLM orchestrator and reinforcement learning to build smart, adaptive
AgentConductor: Dynamic Multi-Agent LLM Communication System
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