月之暗面解密o1:Long-CoT是关键，模型思考需要"放长线"
月之暗面研究员Flood Sung近日发表万字长文，首次详细披露了k1.5模型的研发思路，并就OpenAI o1模型带来的技术启示进行深度反思。据Flood Sung介绍，Long-CoT（长链条思维）的重要性其实早在一年多前就已被月之暗面联合创始人Tim周昕宇验证。通过使用小型模型训练多位数运算，并将细粒度运算过程转化为长链条思维数据进行SFT(有监督微调)，就能获得显著效果。然而，受限于成本考虑，月之暗面此前将重点放在了Long Context（长文本输入）的优化上。Flood Sung解释道，Long Context主要处理输入端，
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