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Disrupting Tradition! New Multi-Agent Framework OWL Gains 17K Stars, Surpassing OpenAI to Pioneer a New Era of Intelligent Collaboration

Disrupting Tradition! New Multi-Agent Framework OWL Gains 17K Stars, Surpassing OpenAI to Pioneer a New Era of Intelligent Collaboration
With the rapid development of large language models (LLMs), single agents have revealed many limitations when dealing with complex real-world tasks. To address this issue, a new multi-agent framework named Workforce and an accompanying training method called OWL (Optimized Workforce Learning) were jointly introduced by institutions such as Hong Kong University and camel-ai. Recently, this innovative achievement achieved an accuracy rate of 69.70% on the authoritative benchmark test GAIA, not only breaking the record for open-source systems but also surpassing commercial systems like OpenAI Deep Research..
6/17/2025 9:03:21 PM
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颠覆传统！新多智能体框架OWL获17K Star，超越OpenAI开创智能协作新时代

颠覆传统！新多智能体框架OWL获17K Star，超越OpenAI开创智能协作新时代
随着大型语言模型（LLM）的迅猛发展，单一智能体在应对复杂现实任务时显露出诸多局限。 为了解决这个问题，香港大学与 camel-ai 等多家机构联合推出了一种名为 Workforce 的全新多智能体框架，并配套了一种名为 OWL(Optimized Workforce Learning)的训练方法。 最近，这一创新成果在权威基准测试 GAIA 上获得了69.70% 的准确率，不仅刷新了开源系统的记录，还超越了 OpenAI Deep Research 等多家商业系统。
6/17/2025 3:01:49 PM
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