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The
<something>pseudo XML markers helped earlier generations (GPT 2 I think?) to structure input and responses at all because the models had such a hard time compared to today. It's optional nowadays but can still help save words (tokens) expressing that something is e.g. an instruction, something else is 'meta'. It would often be harder to convey with prose alone, so not obsolete at all from the practictioners in the field I know.Author at Zettelkasten.de • https://christiantietze.de/
Uhmm, Markdown is a (simplified) markup language. "Markup" doesn't just mean XML.
That prompt looks really good.
I ask questions like that. I have so far not used a chatbot with respect to reading a book. But for questions about something I'm interested in, I will ask e.g. what the usual or well-accepted writings say. I will ask if there is research that is regarded as reliable. I would ask for the most common dissents but I haven't had the occasion yet.
My thinking is that the chatbot is best at constructing replies using the most likely token probabilities so such replies should be more reliable.
Sometimes I ask for information about a book to see if it might be useful to me (or ask for a recommendation based on a specific need), but I really dislike having the ideas I’ll encounter revealed to me beforehand. That is an analysis I want to conduct myself—and, if anything, I’d rather evaluate their quality only after I've read them.