this post was submitted on 26 Jul 2024
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Technology

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[–] hperrin@lemmy.world 17 points 3 months ago (6 children)

Cool, so the worst part of modern search engines has been made into its own standalone search engine. Very neat.

[–] baseless_discourse@mander.xyz 9 points 3 months ago* (last edited 3 months ago) (4 children)

I don't get the hype around LLM, it is a terrible way to search. It has never give me anything useful on any of my search, ever.

Most of the time asking chatgpt anything non-trivial, it will just spit out gibberish that doesn't mean anything.

Who in their right mind would look at these terribly stupid thing and think: Yeah! This garbage is going to advance humanity.

[–] amenji@programming.dev 3 points 3 months ago (1 children)

Have you tried perplexity.ai? Using it to do some programming and it's quite good so far. It's basically LLM + Search Engines.

You can also use it to use different models (not just with ChatGPT).

Sometimes even run the code itself (Python for my case) and see if it's valid.

[–] baseless_discourse@mander.xyz 1 points 3 months ago* (last edited 3 months ago)

Last time I tried ChatGPT it cannot even do a trie in Haskell, so I don't see any way it is useful for me, unfortunately. IIRC, I was testing with some trivial modification of a trie, but I do not remember at this point.

Maybe it is useful for college homework, but I have yet to find any problem it can solve beyond college. But I would love to learn more, since you have more experience with it. :)

Edit: I tried a problem I encountered couple month ago on https://perplexity.ai. I want to implement a parser in Haskell that do not halt on error, but record the error and keeps going.

It should take 2 lines with mtl, and the AI gives me a more verbose answer that is also completely wrong.

So... I don't see how they are helpful, honestly. Sorry.

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