14th September 2024
It's a bit sad and confusing that LLMs ("Large Language Models") have little to do with language; It's just historical. They are highly general purpose technology for statistical modeling of token streams. A better name would be Autoregressive Transformers or something.
They don't care if the tokens happen to represent little text chunks. It could just as well be little image patches, audio chunks, action choices, molecules, or whatever. If you can reduce your problem to that of modeling token streams (for any arbitrary vocabulary of some set of discrete tokens), you can "throw an LLM at it".
Recent articles
- OpenAI’s accidental cyberattack against Hugging Face is science fiction that happened - 22nd July 2026
- A Fireside Chat with Cat and Thariq from the Claude Code team - 21st July 2026
- Kimi K3, and what we can still learn from the pelican benchmark - 16th July 2026