> Example: those are some time series parameters and instructions, decide if watering the plants or not; vision models that can watch a camera and transcribe what it is seeing in a basic way, ...

This is the problem I have with the general discourse of "AI" even on Hacker News, of all places. Everything you listed is not an example of a *language model*.

All of those can either be implemented as a simple "if", decision tree, decision table, and finally actual ML in the example of cameras and time series predication.

Using an LLM is not just ridiculous here but totally the wrong fit and a waste of resources.