突破性AI框架AlphaOne:让大模型"先慢思考后快思考"，效率提升21%
伊利诺伊大学香槟分校和加州大学伯克利分校研究人员联合开发的AlphaOne（α1）框架，为大型语言模型推理控制带来重大突破。该框架能让开发者精确调节模型"思考"方式，在提升推理能力的同时显著优化计算资源使用。解决AI推理痛点当前大型推理模型如OpenAI o3和DeepSeek-R1虽然融入了"系统2"慢思考机制，但存在明显缺陷:对简单问题"过度思考"浪费计算资源，对复杂问题"思考不足"导致错误答案。这些模型通过"等待"、"嗯"等过渡词触发慢速思考，但无法找到最佳的推理转换策略。现有解决方
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