英偉達與香港大學聯合發佈Orchestrator模型，擁有8億參數，能協調多種工具和大型語言模型解決複雜問題。該模型在工具使用基準測試中，以更低成本實現更高準確性，並能根據用戶偏好智能選擇工具。其訓練採用名爲ToolOrchestra的新強化學習框架，旨在提升小型模型的協調能力。
NVIDIA推出ToolOrchestra方法，通過訓練小型語言模型Orchestrator-8B作爲“大腦”，提升AI系統選擇合適模型和工具的能力，避免依賴單一大型模型。該方法旨在解決傳統AI代理使用單一模型時可能出現的決策偏差問題，實現更高效的任務處理。
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