研究發現，AI語音模型在歸納推理中表現出色，在演繹任務中“碰壁”
最近，加州大學洛杉磯分校和亞馬遜的研究人員對大型語言模型（LLMs）的推理能力進行了深入分析。他們首次系統地區分了歸納推理和演繹推理這兩種能力，探討了這兩者對 AI 系統的挑戰程度。圖源備註：圖片由AI生成，圖片授權服務商Midjourney歸納推理是指從具體的觀察中推導出一般性規律，而演繹推理則是將一般規則應用於特定案例。研究的目的是瞭解哪種推理能力對大型語言模型來說更具挑戰性。爲此，研究團隊開發了一種新的方法，稱爲 “SolverLearner”。這種方法使得模型通過少量
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