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读懂「PCM “deleted scene”: Wave maps」:先把定义、反例和适用范围钉死
For the past several years, my good friend and fellow Medalist Timothy G…
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智能体栈里的训练稳定性:延迟、成本和翻车点
大模型训练最怕的不是 loss 降得慢,而是它在一切正常时突然尖峰、发散、NaN。本文从 GLM-130B、OPT-175B、PaLM 的真实训…
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打开一个 URL 时到底发生了什么
I’ve been hearing this question a lot lately, and when I do, it reminds …
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读懂「Amplification, arbitrage, and the tensor power t」:先把定义、反例和适用范围钉死
It occurred to me recently that the mathematical blog medium may be a go…
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智能体栈里的数据工程:延迟、成本和翻车点
大模型训练里最贵的不只是算力,还是高质量数据。本文把数据工程拆开讲:语料从哪里来,为什么去重、过滤、混配、污染控制都属于“模型能力工程”,C4、…
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单体仓库的好处,以及代价
Someone : Did you hear that Facebook/Google uses a giant monorepo? WTF! …
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「PCM article: Harmonic analysis」笔记:问题从哪来、证明卡在哪
I’d like to begin today by welcoming Timothy Gowers to the mathematics b…
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工程上真正卡住的是Scaling Laws
Kaplan(2020)第一次把 loss 随参数、数据、算力的幂律关系钉成经验规律,却因为训练配方设计的一个隐藏 bug 把配比钉歪了;Chi…
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指标怎么用才不只是看板装饰
We spent one day 1 building a system that immediately found a mid 7 figu…
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把「Pythagoras’ theorem」写成可执行的阅读路径
My colleague Ricardo Pérez-Marco showed me a very cute proof of Pythagor…