月之暗面解密o1:Long-CoT是關鍵，模型思考需要"放長線"
月之暗面研究員Flood Sung近日發表萬字長文，首次詳細披露了k1.5模型的研發思路，並就OpenAI o1模型帶來的技術啓示進行深度反思。據Flood Sung介紹，Long-CoT（長鏈條思維）的重要性其實早在一年多前就已被月之暗面聯合創始人Tim周昕宇驗證。通過使用小型模型訓練多位數運算，並將細粒度運算過程轉化爲長鏈條思維數據進行SFT(有監督微調)，就能獲得顯著效果。然而，受限於成本考慮，月之暗面此前將重點放在了Long Context（長文本輸入）的優化上。Flood Sung解釋道，Long Context主要處理輸入端，
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