Stone to Silicon

Artificial intelligence · 2020

GPT-3

175 billion parameters, and the model learns new tasks from examples in the prompt.

OpenAI's GPT-3, trained on about 300 billion tokens, showed in-context few-shot learning: give it a few examples and it performs the task without training. Released through an API, it started the commercial large language model industry.

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 4

What it led to 7

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)