[RugnirViking]

Provided that the problem is suited to the strengths of an LLM at all. An example might be a small ai custom trained on documentation for libraries. You ask it a question like "how do I make the background move with parallax effect when you move the cursor". It's a little ambiguous, high-level concept, and probably not a single function.

Small ai: likely makes up a function or suggests a single function which isn't sufficient. Refuses to budge from its answer or apologies and gets confused

Large LLM: able to actually understand the question, combine several functions. If it doesn't work you can tell it why and it fixes it