Zeshade
In my limited experience the issue is often that the “chatbot” doesn’t even check what it says now against what it said a few paragraphs above. It contradicts itself in very obvious ways. Shouldn’t a different algorithm that adds a some sort of separate logic check be able to help tremendously? Or a check to ensure recipes are edible (for this specific application)? A bit like those physics informed NN.
We were looking at getting an EV without being able to charge it at home. Charging it at public chargers here in the UK would’ve cost about the same as petrol. But having to rely on the public charging infrastructure in its current state made us decide against it, at least for now.
Thanks! And thanks for your insights. Yes I meant that my experience using LLM is limited to just asking bing chat questions about everyday problems like I would with a friend that “knows everything”. But I never looked at the science of formulating “perfect prompts” like I sometimes hear about. I do have some experience in AI/ML development in general.
Same as what others said. We basically don’t have a driveway. The UK government is pushing for public chargers to become more reliable and easier to use though. This reinforced our fears that the current infrastructure may be unreliable but at the same time really gives hope that it will be good enough for us in the very near future. Our employer’s office also doesn’t currently offer charging, which some of our friends get, which is really nice for people in my situation.
I’m using something called connect. I’m not sure why I picked this one but it works quite well. Is sync so much better? The hype around it is so impressive I feel I must be missing something.
What view are they trying to counter here? I understand all the words of the post and I agree with the logic but I don’t see in what situation this argument is useful. Perhaps I’m lucky not to have been exposed to the people for whom it would be useful…
Edit: I saw some very clear answers to my questions after scrolling down a bit. I think I just didn’t understand what the term “systemic” meant here.