Comment on Junior Dev VS Machine Learning

GnomeKat@lemmy.blahaj.zone ⁨11⁩ ⁨months⁩ ago

• Imgonnatrythis@sh.itjust.works ⁨11⁩ ⁨months⁩ ago

  I too am confused about the decaf part.

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  • Maven@lemmy.world ⁨11⁩ ⁨months⁩ ago

    It’s saying that instead of spending all the resources needed to gather all of the training data for the LLM, just give a junior dev some coffee as the input instead.

    The direct comparison is input and output. Coffee/training data is the input and the code is the output.

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    • MajorHavoc@programming.dev ⁨11⁩ ⁨months⁩ ago

      But…Decaf?!

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      • Maven@lemmy.world ⁨11⁩ ⁨months⁩ ago

        I didn’t say it was a GOOD joke. I was just explaining what the joke was.

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• const_void@lemmy.ml ⁨11⁩ ⁨months⁩ ago

  Yet 80 people upvoted it. Strange…

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• xor@infosec.pub ⁨11⁩ ⁨months⁩ ago

  that’s because you’re commenting on things you don’t understand in a sub not meant for you

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  • GnomeKat@lemmy.blahaj.zone ⁨11⁩ ⁨months⁩ ago

    How is this sub not meant for me?

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    • xor@infosec.pub ⁨11⁩ ⁨months⁩ ago

      it’s for programmers, which you’re obviously not if you think this makes no sense…
      and guess what, troll, that’s why you have a public comment history…
      it’s a primary function… which i used, as intended, to see how much of a troll you are…

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      • GnomeKat@lemmy.blahaj.zone ⁨11⁩ ⁨months⁩ ago

        im a rendering engineer. like GPU programming and engine programming.

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• WitchHazel@lemmygrad.ml ⁨11⁩ ⁨months⁩ ago

  Yeah I don’t really get this, you can come to deterministic mathematic conclusions with ML, it just requires different structuring of the problem. While area of a rectangle may not need optimization, there are many such places that do, like file compression, which requires perfectly accurate results.

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