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
- My AI/LLM predictions for the next 1, 3 and 6 years, for Oxide and Friends - 10th January 2025
- Weeknotes: Starting 2025 a little slow - 4th January 2025
- I still don't think companies serve you ads based on spying through your microphone - 2nd January 2025