AMAS: Adaptively Determining Communication Topology for LLM-based Multi-Agent System
PositiveArtificial Intelligence
The recent paper on AMAS highlights a significant advancement in the use of large language models (LLMs) for multi-agent systems (MAS). By adaptively determining communication topologies, this approach addresses the limitations of traditional MAS architectures, which often struggle with inflexible designs. This innovation is crucial as it enhances the effectiveness of LLMs in solving complex industrial problems, paving the way for more responsive and efficient systems in both academic and commercial settings.
— Curated by the World Pulse Now AI Editorial System



