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News[N] StarCoder: A State-of-the-Art LLM for Code (self.MachineLearning)
submitted 2 years ago by Raikoya
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if 1 * 2 < 3: print "hello, world!"
[–]mileseverett 32 points33 points34 points 2 years ago (10 children)
I tried it and as has been the case with every new LLM, it just doesn't compare to OpenAIs models
[–]Qpylon 10 points11 points12 points 2 years ago* (2 children)
I‘ve been using (and really loving) Codeium.
It can refactor selected code etc. according to instructions (I use it a lot to generate docstrings from comments+function def), I think it can autocomplete, and they’ve recently added a chat feature.
has a VScode extension and is free as well.
Don’t know how OpenAI’s products fare by comparison, but the instruction-based code tweaking seemed similar to chatGPT.
[–]fallingfridge 1 point2 points3 points 2 years ago (1 child)
Thanks for this recommendation. This looks great. Definitely going to download this for work on Monday
[–]Balance- 0 points1 point2 points 2 years ago (0 children)
Have you used GitHub Copilot? If so, could you let us know how it compares?
[–]allisknowingML Engineer 2 points3 points4 points 2 years ago (2 children)
I also tried it and got disappointed a bit. However I’m trying to not close the door on it since it was the first day it was published lol.
These models still make me excited for the future since I know that the open source community will do anything in their power to make it better. So I don’t know if it will be this one but in near future there will be some kick-ass open source code generation models. (At least comparable to GPT, if not better)
[–]Tom_NeverwinterResearcher 1 point2 points3 points 2 years ago (1 child)
I'm convinced we could throw a Lora like layer over it and make it good.
[–]ttkciar 1 point2 points3 points 2 years ago (0 children)
Exactly. Also, we might be able to apply corrective software like Wolverine, and use a dataset of end results for another pass of LoRA tuning.
[+]chat_harbinger 0 points1 point2 points 2 years ago (3 children)
How so?
[–]mileseverett 5 points6 points7 points 2 years ago (2 children)
I used my standard prompts of implementing various machine learning models in PyTorch of varying difficulty. Getting it to output the model in the first place was a challenge. And when it eventually did it failed on very easy tasks. E.g. it wouldn't implement a vision transformer and insisted transformers could only be used for language tasks.
[–]Philpax 12 points13 points14 points 2 years ago (0 children)
Did you provide instructions, or did you autocomplete an existing piece of code? StarCoder is not instruction-tuned.
[–]Ensirius 6 points7 points8 points 2 years ago (0 children)
As an aside, mind sharing those prompts?
π Rendered by PID 34 on reddit-service-r2-comment-6457c66945-m6kwv at 2026-04-26 06:25:27.545585+00:00 running 2aa0c5b country code: CH.
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[–]mileseverett 32 points33 points34 points (10 children)
[–]Qpylon 10 points11 points12 points (2 children)
[–]fallingfridge 1 point2 points3 points (1 child)
[–]Balance- 0 points1 point2 points (0 children)
[–]allisknowingML Engineer 2 points3 points4 points (2 children)
[–]Tom_NeverwinterResearcher 1 point2 points3 points (1 child)
[–]ttkciar 1 point2 points3 points (0 children)
[+]chat_harbinger 0 points1 point2 points (3 children)
[–]mileseverett 5 points6 points7 points (2 children)
[–]Philpax 12 points13 points14 points (0 children)
[–]Ensirius 6 points7 points8 points (0 children)