Unfortunately, the article does not write about how people use it.

I use it to skip reading docs. Either it works, or I read the docs, sometimes in parallel, whatever is faster.

Oftentimes I just forgot how some function is called.

I’m still in the testing phase and in more than 50% of the cases its crap. Halizination is a real problem with those models that I’ve used.

I use an LLM to do stuff that I find tedious and can easily verify to be correct (e.g. creating arguments for a script using argparse), or turning something from a table in a PDF into a Python list. My experiments trying to get any level of reliability for more complex tasks have been infuriating failures. They invent parameters and functionality that doesn’t exist, swear blind that something is true but can’t provide accurate references (or provide references that directly contradict what they just said), and so on.

I think I need an AI to parse these confusing graphs and images for me.