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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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OpenAI 朝 AI 第 3 阶段迈进,正招募人才组建“多智能体”团队

OpenAI 在发布 o1 AI 模型之后,下一步会怎么走?该公司研究员诺姆・布朗(Noam Brown)在 X 平台给出了答案,组建“多智能体”multi-agent 研究团队。根据 OpenAI 公布五级量表,最新推出的 o1 模型处于第二阶段,即所谓的“推理者”(reasoners),而开发 multi-agent 符合第三阶段的目标要求。OpenAI 的五级量表如下:第一级:聊天机器人,具有会话语言的人工智能第二级:推理者,解决人类水平问题的人工智能第三级:智能体,能够代表用户采取行动的人工智能第四级:创新
9/21/2024 12:10:50 PM
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