Building LLM Applications for Production
For a lot of the usecases that involve summarizing some form of input data (for instance the article mentions book summaries, math walkthroughs etc), how can I trust the output to not be hallucinated? How can I reasonably judge that what it tells me is factual with respect to the input and not just made-up nonsense?<p>This is the problem I have with the GPT models. I don't think I can trust them for anything actually important.