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Princeton paper finds teams of specialized AI agents beat single models
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A CryptoBriefing report on a study attributed to Princeton researchers argues that specialised AI agents, developed separately and coordinated, reached about 70% in SWE-bench. The result puts the focus on multi-agent architecture, although it does not show how the approach would work in real environments or who would respond for its mistakes.
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Cryptocurrency News | Cryptocurrency Prices | Market CapPrinceton paper finds teams of specialized AI agents beat single models
A Princeton paper finds specialized AI agents from many developers hit around 70% accuracy on SWE-bench, beating single general-purpose agents.
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