this post was submitted on 05 Jan 2024
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I'd caution against using it for these things due to its tendency to make stuff up. I've tried using ChatGPT for both, but in my experience if I can't find something on google myself, ChatGPT will claim to know the answer but give me something that just isn't true. For coding it can do basic things, but if I wanna use a library or some other more granular task it'll do something like make up a function call that doesn't exist. The worst part is that it looks right, so I used to waste time trying to figure out why it doesn't work for me, when it turns out it doesn't work for anybody. For factual information, I had to correct a friend who gave me fake stats on airline reliability to help me make a flight choice - he got them from GPT 4 and while the numbers looked right, they deviated from other info. In general you never want to trust any specific numbers from LLMs because they're trained to look right rather than to actually be right.
For me LLMs have proven most useful for things like brainstorming or coming up with an image I can use for illustration purposes. Because those things don't need to be exactly right.