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That's a really bad usecase for a LLM. A better use would be to suggest activities or destinations based on qualities of those places and a users interests. I
by GenerocUsername 3y ago
That's a really bad usecase for a LLM.
A better use would be to suggest activities or destinations based on qualities of those places and a users interests. It can easily generate rough matches, but you would not want to delve into specific mileage based computations.
- CharlieDigital 3y ago> A better use would be to suggest activities or destinations based on qualities of those places and a users interests. For sure, but as spaceman mentions, after a few passes, you can see how formulaic it is. > ...but you would not want to delve into specific mileage based computations. Agree; but it was our own curiosity to see if it could understand geo-spatial locality for this use case. It does have some sense of it likely based on how destinations tend to cluster in the underlying sources, but will obviously include hallucinations in the response as well.