顛覆傳統！新多智能體框架OWL獲17K Star，超越OpenAI開創智能協作新時代
隨着大型語言模型（LLM）的迅猛發展，單一智能體在應對複雜現實任務時顯露出諸多侷限。爲了解決這個問題，香港大學與 camel-ai 等多家機構聯合推出了一種名爲 Workforce 的全新多智能體框架，並配套了一種名爲 OWL(Optimized Workforce Learning)的訓練方法。最近，這一創新成果在權威基準測試 GAIA 上獲得了69.70% 的準確率，不僅刷新了開源系統的記錄，還超越了 OpenAI Deep Research 等多家商業系統。這一研究成果的所有代碼已在 GitHub 上開源，當前已獲得超過17，000個 Star 的點贊，標誌着社區對這一創
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