Stone to Silicon

Artificial intelligence · 2022

Chinchilla scaling

DeepMind shows models were undertrained: use about 20 tokens per parameter.

Jordan Hoffmann and colleagues trained over 400 models and found compute-optimal training scales data and parameters equally. The 70B Chinchilla beat the 280B Gopher. The result reshaped every later training run, including Llama.

See it in the living treeWikipedia

Arcs above join it to what it stood on, arcs below to what it led to. The bar places this stretch on the tree's whole timeline.

What it built on 2

What it led to 1

Related measurements

The dashed line marks when it first worked.

Training compute of notable AI models Source: Epoch AI, Notable AI Models (CC BY 4.0)

ML hardware FLOP/s per dollar Source: Epoch AI, ML hardware (CC BY 4.0)