

You can use LLMs for things that where not possible or very difficult with traditional search engines.
E.g. I wanted to know what kind of brake my daughters bike used. Traditionally I’d either have to research all possible brake types and compare then with her bike or take a photo and post it to a forum or reddit or something and hope someone knows the answer.
With ChatGPT (I only use the free version) I just took a photo and asked what kind of break it was and got a (actually good) list of 2 possible brakes. It was one of the two.
Very convenient. However, I’m aware how LLMs work and what their limitations are. Of course also the environmental issues.
BTW: It was a band brake.



I think that’s a good approach. Personally I find LLMs quite fascinating but they’re deeply flawed. They can barely be used in production environments, especially unsupervised. The workflows regarding LLMs are very esoteric with specific prompting techniques etc and while all LLMs have similar flaws each model and model version behaves differently. It’s super weird and unreliable. Like one big workaround that has so much investment that it keeps improving every month but still stays shitty at it’s base.