@misc{aihist_chinchilla-2022,
  title        = {{Chinchilla 缩放定律修正参数与数据配比}}
  author       = {{AI 纪年}}
  date         = {2022-03-29}
  year         = {2022}
  month        = mar
  howpublished = {\url{https://aihist.net/e/chinchilla-2022.html}}
  url          = {https://aihist.net/e/chinchilla-2022.html}
  urldate      = {2026-11-03}
  language     = {zh-CN}
  keywords     = {缩放定律, chinchilla, 大模型, 训练, 芯片}
  abstract     = {DeepMind 提出 Chinchilla 缩放定律，指出在固定算力下模型参数量与训练数据量应同比例扩展。它纠正了此前“越大越好”的参数扩张倾向。}
  note         = {AI 纪年静态引用页（EB/OL），构建于 2026-11-03}
}