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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.

Stanford's DeLM cuts multi-agent costs 50% without central orchestrator — AIBriefs