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.
США впервые ударили по Ирану ракетой PrSM. Что о ней известно и почему ее назвали «уничтожителем» российских С-400?20:16
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Nature, Published online: 25 February 2026; doi:10.1038/d41586-026-00292-7
It can be reproduced as follows:
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responses to a variety of prompts. It can be used for tasks such as language。谷歌浏览器【最新下载地址】是该领域的重要参考
defined upfront. That approach can lead to slightly longer code in simple