How can I build cost-effective, adaptable multi-agent LLMs?
Multi-agent Architecture Search via Agentic Supernet
February 8, 2025
https://arxiv.org/pdf/2502.04180This paper introduces MaAS, a new method for designing LLM-based multi-agent systems. Instead of building a single, fixed system, MaAS creates a "supernet," a distribution of possible multi-agent architectures. This allows it to dynamically sample a tailored multi-agent system for each individual task, optimizing for both performance and resource efficiency (like the number of LLM calls and token cost). Key points for LLM-based multi-agent systems are its dynamic architecture sampling based on task complexity, improved performance and resource efficiency compared to fixed systems, transferability across LLMs and datasets, and the ability to generalize to unseen agent operators.