2 ms·
Article claims that chatgpt is overly sensitive to queries eg -gate suffix and come lad vs cum laude. This seems like a weak argument based on a temporary short
by tomlue 4y ago
Article claims that chatgpt is overly sensitive to queries eg -gate suffix and come lad vs cum laude. This seems like a weak argument based on a temporary shortcoming. Any NLP methods search engines use for word meanings should be trivially integrated into chatgpt.
Comes off as a company that sells search solutions looking for reasons this tech won't replace it.
I'm sure the author is better informed, but what about the scalability of search? I'm not sure if the neural network approaches are as cost efficient (today) as some of our current search algorithms when it comes to answering queries.
- dustincoates 4y agoAuthor here. I was surprised to see my post on here while scrolling! My point about those examples is less that ChatGPT got it wrong, but that it's impossible to know really when it does, because it seems so confident and you only get the one result. To be fair, this is a problem with webpages, but you at least get multiple choices. > Comes off as a company that sells search solutions looking for reasons this tech won't replace it. I can see why you'd say that, but that wasn't the goal. I originally wrote this as my own POV for my own blog. I really do think there's a UX problem in this (and, as I mentioned, I am a big fan of recent LLMs). > [What] about the scalability of search? You're right, the NN aren't as performant as lexical search. They're getting a lot better though. (We're actually working on this at the moment.) LLMs, though, have a ways to go, so it's hard to use them right now for real time search.