Actually Useful AI
Welcome! ๐ค
Our community focuses on programming-oriented, hype-free discussion of Artificial Intelligence (AI) topics. We aim to curate content that truly contributes to the understanding and practical application of AI, making it, as the name suggests, "actually useful" for developers and enthusiasts alike.
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We highly value participation in our community. Whether it's asking questions, sharing insights, or sparking new discussions, your engagement helps us all grow.
What can I post? ๐
In general, anything related to AI is acceptable. However, we encourage you to strive for high-quality content.
What is not allowed? ๐ซ
- ๐ Sensationalism: "How I made $1000 in 30 minutes using ChatGPT - the answer will surprise you!"
- โป๏ธ Recycled Content: "Ultimate ChatGPT Prompting Guide" that is the 10,000th variation on "As a (role), explain (thing) in (style)"
- ๐ฎ Blogspam: Anything the mods consider crypto/AI bro success porn sigma grindset blogspam
General Rules ๐
Members are expected to engage in on-topic discussions, and exhibit mature, respectful behavior. Those who fail to uphold these standards may find their posts or comments removed, with repeat offenders potentially facing a permanent ban.
While we appreciate focus, a little humor and off-topic banter, when tasteful and relevant, can also add flavor to our discussions.
Related Communities ๐
General
- !Artificial@kbin.social
- !artificial_intel@lemmy.ml
- !singularity@lemmy.fmhy.ml
- !ai@kbin.social
- !ArtificialIntelligence@kbin.social
- !aihorde@lemmy.dbzer0.com
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I replaced it with online docs, Github Issues, Reddit, and Stack Overflow.
Many languages/libraries/tools have great documentation now, 10 years ago this wasn't the case, or at least I didn't know how to find/read documentation. 10 years ago Stack Overflow answers were also better, now many are obsolete due to being 10 years old :).
Good documentation is both more concise and thorough than any QA or ChatGPT output, and more likely to be accurate (it certainly should be in any half-decent documentation, but sometimes no).
If online documentation doesn't work, I try to find the answer on Github issues, Reddit, or a different forum. And sometimes that forum is Stack Overflow. More recently I've started to see most questions where the most upvoted answer has been edited to reflect recent changes; and even when an answer is out-of-date, there's usually a comment which says so.
Now, I never post on Stack Overflow, nor do I usually answer; there are way too many bad questions out there, most of the good ones already have answers or are really tricky, and the community still has its rude reputation. Though I will say the other stack exchange sites are much better.
So far, I've only used LLMs when my question was extremely detailed so I couldn't search it, and/or I ran out of options. There are issues like: I don't like to actually write out the full question (although I'm sure GPT works with query terms, I'll probably try that); GPT4's output is too verbose and it explain basic context I already know so it's just filler; and I still have a hard time trusting GPT4, because I've had it hallucinate before.
With documentation you have the expectation that the information is accurate, and with forums you have other people who will comment if the answer is wrong, but with LLMs you have neither.