Comment by Mathnerd314

Well, look at the process of training a chatbot:

- first you make a "raw" corpus, with all the information needed to produce an answer

- then you generate sample question-answer pairs

- then you use AI to make better questions and better answers (look at e.g. WizardLM https://news.ycombinator.com/item?id=42326324), one advantage of an LLM-based workflow is that the corpus is the single source of truth. It is true that good documentation repeats itself, but from a maintenance standpoint, changing all the occurrences of a fact, idea, etc. is hard work, whereas changing it once in the corpus and then regenerating all the QA pairs is straightforward.