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?
Solutions exist where you give the LLM a bunch of files e.g., PDFs which it then will solely base it’s knowledge on
It’s still a probable token generator, you’re just training it on your local data. Hallucinations will absolutely happen.
This isn’t training its called a RAG Workflow, as there is no training step per se