But my company is special!
But my company is special!
Its uses are way more subtle than the hype, but even LLMs can have uses, occasionally. Specifically, I use one to categorize support tickets. It just has to pick from a list of probable categories. Nice and simple for it. Something humans can do just as easily, but when you have a history of 2 million tickets that need to be categorized, suddenly the LLM can do it when it would drive a human insane. I’m sure there are lots of little tasks like that. Nothing revolutionary, but still valuable.
Of course everyone’s ears are different, but for me, my Jabras lock in. They aren’t going anywhere. They are designed to be twisted into place, causing a literal lock into your ear. I can force them out without touching them, but it takes work to do it, they aren’t falling out on their own, and if they start to come loose, I’ll know instantly because the seal is broke and I can hear that they aren’t settled in right.
LLMs aren’t it, but AI, as in the computer science field, has been helping the medical industry since it has existed.
That one is creamy, so no. But there is gritty peanut butter, we generally refer to it as “chunky”.
LLMs are AI as it is defined in Computer Science, not SciFi. And the lane assist on your car might also be, although it may just be a well tuned PID for all I know.
That’s quite a wall of text there. I work in IT, probably the first part of the tech sector to be outsourced, and it has been known as a bad idea for a long time, but it keeps happening. I know of one fortune 50 company that, a little over 1 year ago, outsourced their IT to India. Everything from help desk to knowledge management. They are bringing it back because it was a disaster.
That isn’t to blame India. I’m sure it is full of skilled workers, but you don’t outsource to get the best, you outsource to get cheaper. So what you end up with is the worst workers. And then you tack on a language barrier on top of that and suddenly work in the US grinds to a halt. The problem is, it does save money for a few quarters, the execs who pushed it get their bonuses, and then the real cost hits as systems break down.