Hhackernews·porridgeraisin
爆款 · 8.3×26
·11小时前·官方 API
暂不在当前实时榜单
I trained a small transformer in 1.5hrs and it beats many LLMs
热度趋势
趋势数据积累中
百分比基于当前可用热度信号,而非评论数或独立用户人数。
- 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
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.