{
  "api_version": "1",
  "updated": "2026-10-13",
  "rights": "© Frontier Log, all rights reserved.",
  "event": {
    "slug": "2022-04-12-chinchilla-compute-optimal-scaling",
    "date": "2022-04-12",
    "lab": "google",
    "kind": "capability",
    "importance": "major",
    "title": "Chinchilla: compute-optimal scaling",
    "detail": "Chinchilla, 70B parameters trained on 1.3T tokens, outperforms the 280B Gopher at the same training compute.",
    "tags": [],
    "related": [],
    "source": "https://deepmind.google/blog/an-empirical-analysis-of-compute-optimal-large-language-model-training/",
    "source_title": "An empirical analysis of compute-optimal large language model training",
    "url": "https://frontierlog.ai/event/2022-04-12-chinchilla-compute-optimal-scaling",
    "image": "https://frontierlog.ai/og/2022-04-12-chinchilla-compute-optimal-scaling.png"
  }
}