How to design optimal communication for LLM agents?
G-Designer: Architecting Multi-agent Communication Topologies via Graph Neural Networks
October 16, 2024
https://arxiv.org/pdf/2410.11782This paper introduces G-Designer, an AI system that automatically designs the best communication structure for teams of AI agents working on a given task. This addresses the challenge of finding the optimal way for AI agents to collaborate, which significantly impacts their collective intelligence.
Key points for LLM-based multi-agent systems:
- Task-adaptive communication: G-Designer tailors the communication structure to the specific task, leading to more efficient and effective collaboration.
- Reduced token consumption: By simplifying communication for simpler tasks, G-Designer minimizes unnecessary overhead and computational cost, a major concern for LLM-based systems.
- Robustness to adversarial attacks: The system can identify and mitigate the impact of malicious inputs, making multi-agent systems more reliable.