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[-] GnomeKat@lemmy.blahaj.zone 9 points 1 year ago
[-] Imgonnatrythis@sh.itjust.works 15 points 1 year ago

I too am confused about the decaf part.

[-] Maven@lemmy.world 2 points 1 year 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.

[-] MajorHavoc@programming.dev 6 points 1 year ago
[-] Maven@lemmy.world 4 points 1 year ago

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

[-] MajorHavoc@programming.dev 3 points 1 year ago

Sorry, yes. I'm just trying to "yes, and...".

[-] Maven@lemmy.world 4 points 1 year ago

Oh lol sorry. Tone is very hard to understand via text online.

[-] const_void@lemmy.ml 4 points 1 year ago

Yet 80 people upvoted it. Strange...

[-] WitchHazel@lemmygrad.ml 1 points 1 year 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.

this post was submitted on 08 Feb 2024
345 points (91.0% liked)

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