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I trained a small transformer in 1.5hrs and it beats many LLMs

AI 摘要

A small transformer was trained from scratch in 1.5 hours on a 5090, achieving performance comparable to TRM/HRM and outperforming many LLMs. The training utilized ARC-2, a dataset containing 773 ARC-1 puzzles and 347 new ones. To prevent data leakage, the 773 repeated ARC-1 puzzles were carefully filtered out, ensuring a fair evaluation. The author acknowledges that real-life problem sets rarely present all problems simultaneously, similar to an exam where humans typically tackle one problem at a time.

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收录当时偏移:UTC+02026年9月1日 17:00 UTC

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2026年9月1日 17:00
来源类型
未分类
爆款判定
判定依据
热度约为该来源近期上榜条目中位水平的 8.3 倍
指标对比
289 vs 中位 35(20 条基线样本)
检出时间
09/01 17:00

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来源·Hacker News·mvakde.github.io