Basically, it's a calculator that can take letters, numbers, words, sentences, and so on as input.

And produce a mathematically "correct" sounding output, defined by language patterns in the training data.

This core concept is in most if not all "AI" models, not just LLMs, I think.

I tried SD once and it was pretty good. It was a bit difficult, of course. Now I want to try image generation again. Do you still think I should use SD or a different tool?

I wanted to extract some crime statistics broken by the type of crime and different populations, all of course normalized by the population size. I got a nice set of tables summarizing the data for each year that I requested.

When I shared these summaries I was told this is entirely unreliable due to hallucinations. So my question to you is how common of a problem this is?

I compared results from Chat GPT-4, Copilot and Grok and the results are the same (Gemini says the data is unavailable, btw :)

So is are LLMs reliable for research like that?