Stanford’s DeLM cuts multi-agent task costs 50% by removing the central orchestrator
A new decentralized framework coordinates agents via shared verified “gists,” improving accuracy and lowering inference cost on benchmarks.
By Hessa Al-Faleh·· 4 min