They’re decent at language tasks. So, if you provide them with all the information and configure them to not make up any of their own, then they can do things like rewriting it in a different style or different language relatively competently.
I had some files that i knew had duplicates, but didn’t exactly match and while the filenames were not identical, you could tell by looking if they were the same.
Would have been very tedious to do all of them, LLM was able to identify a “good enough” number of duplicates and only made a few mistakes. Greatly sped up the manual work required to clean up the collection.
But that’s so far from most advertised scenarios and not compelling from a “make lots of money” perspective.
Every single company pouring money into the incinerator is positive they’ll be the one to crack actually useful AI or even actual GAI.
I mean LLMs are already very useful when used correctly, it’s just 98% of the time they aren’t used correctly
We’re talking about the bubble here, not reasonable use cases. :-)
How do I use it “correctly”
They’re decent at language tasks. So, if you provide them with all the information and configure them to not make up any of their own, then they can do things like rewriting it in a different style or different language relatively competently.
That’s the trillion dollar puzzle nobody has been able to solve yet. It’s not trivial at all, even when it seems like it should be.
We used one to come up with a name for a feature cocktail at work. It’s pretty good for that kind of stuff.
I had some files that i knew had duplicates, but didn’t exactly match and while the filenames were not identical, you could tell by looking if they were the same.
Would have been very tedious to do all of them, LLM was able to identify a “good enough” number of duplicates and only made a few mistakes. Greatly sped up the manual work required to clean up the collection.
But that’s so far from most advertised scenarios and not compelling from a “make lots of money” perspective.
You use it for pointers and double check the results.
"Correctly " is a term that has several different uses and meanings. Depending on the context, “Correctly” can mean:
Nah. They just believe it will make stock values increase (or that not doing thr AI thing will cause stock values to decrease).
Remember, a publically traded company produces shareholder value. How they do it doesn’t matter.