突破性AI框架AlphaOne:讓大模型"先慢思考後快思考"，效率提升21%
伊利諾伊大學香檳分校和加州大學伯克利分校研究人員聯合開發的AlphaOne（α1）框架，爲大型語言模型推理控制帶來重大突破。該框架能讓開發者精確調節模型"思考"方式，在提升推理能力的同時顯著優化計算資源使用。解決AI推理痛點當前大型推理模型如OpenAI o3和DeepSeek-R1雖然融入了"系統2"慢思考機制，但存在明顯缺陷:對簡單問題"過度思考"浪費計算資源，對複雜問題"思考不足"導致錯誤答案。這些模型通過"等待"、"嗯"等過渡詞觸發慢速思考，但無法找到最佳的推理轉換策略。現有解決方
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