AnalysisAI Agents
Jun 16, 5:47 PM
Stanford's DeLM cuts multi-agent costs 50% without central orchestrator
Stanford's DeLM reduces multi-agent inference costs by 50% by eliminating the central orchestrator. Instead, it uses a decentralized delegation-based scheduling approach for agent coordination.
