微軟聯合清北推rStar-Math技術：小型模型逆襲數學問題，超越 OpenAI！
微軟近日宣佈了其新的 rStar-Math 技術，這一創新的推理方法可以應用於小型語言模型（SLMs），顯著提升它們在數學問題上的表現，甚至在某些情況下超越 OpenAI 的 o1-preview 模型。這一技術目前仍處於研究階段，相關研究論文已發佈在 arXiv.org 上，由微軟、北京大學和清華大學的八位作者共同完成。在測試中，rStar-Math 技術被應用於多個小型開源模型，包括微軟的 Phi-3迷你模型、阿里巴巴的 Qwen-1.5B（15億參數模型）和 Qwen-7B(70億參數模型)。測試結果顯示，所有參與的模型性能都有所提升，其中
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