Language Model Teams as Distributed Systems
Summary
The paper reframes large language model (LLM) teams as distributed systems and offers a principled framework to study when teams help, how many agents to deploy, and how team structure affects performance. It demonstrates parallels with classic distributed computing and provides insights for building scalable AI-powered workflows and automation.