"佛系"优化器C-AdamW：一行代码，让大模型训练速度狂飙1.47倍！
在 AI 的世界里，"大力出奇迹" 似乎成了金科玉律。模型越大，数据越多，算力越强，仿佛就能越接近智能的圣杯。然而，这狂飙突进的背后，也隐藏着巨大的成本和能耗压力。为了让 AI 训练更高效，科学家们一直在寻找更强大的优化器，就像一位教练，引导模型的参数不断优化，最终达到最佳状态。AdamW 作为 Transformer 预训练的默认优化器，多年来一直是业界标杆。然而，面对日益庞大的模型规模，AdamW 也开始显得力不从心。难道就没有一种方法，既能提升训练速度，又能降低能耗吗?别急
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