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Salesforce Research
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Automatically generated Multi-Agent Systems are not only outperformed by Single-Agent Systems but also exhibit architectural inefficiencies that challenge the very foundations of multi-agent design principles.
OrchRM slashes training costs while boosting orchestration accuracy, proving that self-supervised reward modeling can revolutionize multi-agent coordination.
SkillOrchestra slashes the learning costs of AI agent orchestration by up to 700x while improving performance by explicitly modeling agent skills and costs, offering a more scalable and interpretable alternative to RL-based methods.
