Here’s some context for the question. When image generating AIs became available, I tried them out and found that the results were often quite uncanny or even straight up horrible. I ended up seeing my fair share of twisted fingers, scary faces and mutated abominations of all kinds.
Some of those pictures made me think that since the AI really loves to create horror movie material, why not take advantage of this property. I started asking it to make all sorts of nightmare monsters that could have escaped from movies such as The Thing. Oh boy, did it work! I think I’ve found the ideal way to use an image generating AI. Obviously, it can do other stuff too, but with this particular category, the results are perfect nearly every time. Making other types of images usually requires some creative promptcrafting, editing, time and effort. When you ask for a “mutated abomination from Hell”, it’s pretty much guaranteed to work perfectly every time.
What about LLMs though? Have you noticed that LLMs like chatGPT tend to gravitate towards a specific style or genre? Is it longwinded business books with loads of unnecessary repetition or is it pointless self help books that struggle to squeeze even a single good idea in a hundred pages? Is it something even worse? What would be the ideal use for LLMs? What’s the sort of thing where LLMs perform exceptionally well?
With the proper documentation llms are great at helping with code. Take phind which uses GPT-3.5 but with sources. Its great for small code snippets and pulls it’s answers for documentation and stackoverflow
… Eh, no. I’ve seen GPT generate some incredibly unsound C despite being given half a page of text on the problem.
I’ve had free access to github copilot since beta and it’s great, especially when working with unknown libraries or languages. I don’t have to pull out documention and I can go on with the logic. Of course it often hallucinate, the code it spits out need to be checked, but still, it saves a lot of time.
