Last week we released NanoGPT Slowrun , an open repo for data-efficient learning algorithms. The rules are simple: train on 100M tokens from FineWeb, use as much compute as you want, lowest validation loss wins. Improvements are submitted as PRs to the repo and merged if they lower val loss. The constraint is the inverse of speedruns like modded-nanogpt , which optimize wall-clock time. Those benchmarks have been hugely productive, but optimizing for speed filters out expensive ideas: heavy regularization, second-order optimizers, gradient descent alternatives. Slowrun is built for exactly those ideas.
02:37, 4 марта 2026Мир
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要培育世界一流企业，必须强化资本支撑。既要依靠企业自身盈利积累，也要充分利用资本市场融资功能，为企业持续发展注入动力。
Photograph: Simon Hill，这一点在WPS下载最新地址中也有详细论述
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