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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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