I ask a question to ChatGPT and i get an answer.
replyI ask a question to google and i spend 10-100 times longer visiting multiple websites making multiple servers generate webpages wasting electricity and time reading them finding my answer, trying different solutions
Sounds like a complex question. On average you'll visit like 1.5 sites. Those SQL queries are peanuts compared to an LLM burning through tokens. Besides, for hard questions, the LLM itself might download 30-60 websites to find the info on your behalf, e.g. checking the state of RAM prices.
replyOpenAI does cache the most frequent questions like this.
replyThere is no way to cache the answer to questions that differ by even one token reliably without introducing potential problems.
replythere absolutely are ways to cache common-routes to fields of commonly requested paths.
reply(hint : it's not all regex and checksums.)
Ok I'll bite, how do you reuse the answer to "what color is the sky?" while also layering in memory, custom system instructions and custom response styles?
replyIt's probably only memory that'd need an answer for some form of caching to be worthwhile (though I'd be curious what that answer is) since memory is on by default and rarely identical between users.
replyThe rest are nice to haves, but not everyone customizes settings just because they are there so there will be some large pool of users with the defaults who could hit cache without them.
Doubtful. Considering features like memory, response style, custom system instructions, etc. can heavy alter a users output.
replyImagine if they used the stackoverflow model of "closed as dupe"
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