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pianopatrickyesterday at 5:18 PM2 repliesview on HN

I think someone could find some way to use the smaller local models to write code. Some kind of framework or harness or language or something. But not too many people are working on that because the big models are pretty cheap and a lot better.


Replies

petrayesterday at 5:25 PM

Maybe one possible path(to make weaker models highly capable) is making the job of the llm as easy as possible.

I wonder if part of the solution is building/finding the right libraries, with the right documentation/language/API(one that plays well with LLM's) and maybe creating some synthetic data around them - to make it very easy for the llm.

And maybe there could be a business model around creating those libraries.

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jrm4yesterday at 5:55 PM

I mean, this is what I'm doing. I'm guessing my process is very different because I'm holding the hand of the project way more along the way, but even that to me probably makes for a more enjoyable.

Which is to say, I might use AI to do an outline/organizational , but I'm prompting every chunk of code "one-by-one," (e.g. at about the "function" level) which still feels lightyears ahead of what I used to do.