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An AI Singer-Songwriter Just Debuted Her Original Song—And The Responses Are Just Brutal
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this post was submitted on 03 Dec 2023
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Technology
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I've been doing a lot of using, testing, and evaluating LLMs and GPT-style models for generating code and text/prose. Some of it is just general use to see how it behaves, some has been explicit evaluation of creative writing, and a bunch of it is code generation to test out how we need to modify our CS curriculum in light of these new tools.
It's an impressive piece of technology, but it's not very creative. It's meh. The results are meh. Which is to be expected since it's a statistical model that's using a large body of prior work to produce a reasonable approximation of what it's seen before. It trends towards the mean, not the best.
I'm curious if you've gotten anything decent out of them. I've tried to use it for tech/code questions, and it's been nothing but disappointment after disappointment. I've tried to use it to get help with new concepts, but it hallucinates like crazy and always give me bad results, some of the time it's so bad that it gives me answers I've already told it we're wrong.
What version are you using?
GPT-4 is quite impressive, and the dedicated code LLMs like Codex and Copilot are as well. The latter must have had a significant update in the past few months, as it's become wildly better almost overnight. If trying it out, you should really do so in an existing codebase it can use as a context to match style and conventions from. Using a blank context is when you get the least impressive outputs from tools like those.
I've used gpt 3/3.5, bing, bard and copilot, and I'm not super stoked. Copilot gave me PS DSC items that don't actually exist, which was my most recent attempt at using a LLM.
I might see about figuring out if it can hook into my vs code instance so it's a bit smarter at some point.
There's an official plug-in to do this that takes like 15 minutes to set up.