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I would argue this would be better done but google or someone else specializing faceted search over structured data. GPT may smooth over results that are coded
by azinman2 4y ago
I would argue this would be better done but google or someone else specializing faceted search over structured data. GPT may smooth over results that are coded as near misses (eg USB vs USB3),but as you said it gave you nearly half wrong incorrect data. There are also ways with toolformer it could call the right APIs and maybe interpret the data, but as is LLMs aren’t the right tech to fetch data from like this.
- saghm 4y agoMaybe, but I think the point of all this discussion is that Google _hasn't_ done something like this. It's not an unreasonable take that their lack of progress on this front is exactly why solutions like this are noticeable improvements in the first place. Sure, Bing AI isn't better than Google with ChatGPT, but the fact that it's a discussion at all is a sign of how far Google as fallen; if we're setting the bar at the same place for both Microsoft and Google for search products, then Google has already lost their lead, and that's a story on its own.
- bhawks 4y agoMost of OPs dissatisfaction with shopping for laptops on Google stem from query understanding fails. Google needs to understand that the challenge is for them to evolve their UX so that users can intuitively tune their searches in a natural manner. A pure LLM approach is going to quickly lose its novelty as reprompting is frustrating and it is difficult to maintain a long lived conversation context that actually 'learns' how to interact with the user (as a person would).