Why Nostr? What is Njump?
2024-03-23 08:55:29
in reply to

buherator on Nostr: npub1f6a33…xpnql "and it was clearly wrong" - Here's my theory: LLM's are useful if ...



"and it was clearly wrong" - Here's my theory: LLM's are useful if results are easy to verify.

In your example eyeballing can easily tell if the resulting shape is _similar_ to the input area. As I understand your use-case doesn't require too much precision, which is totally fine, but it's important to ask how much harder your problem would get if you wanted to make sure the input and output shapes are precise matches? Would you use an LLM to write some verification code? How do you decide if that code is correct? (I think in this particular case actual verification could be actually pretty easy, but I wanted to stick with the example)
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npub1n3p6whdpmt9k8rxzcmvrs053utg662lfrgdxh7dl9t04ff8sdk7qqdjee0