db0@lemmy.dbzer0.comBannedBanned from community to TechTakesEnglish · vor 2 JahrenThe air begins to leak out of the overinflated AI bubblewww.latimes.comexternal-linkmessage-square12linkfedilinkarrow-up1131arrow-down10cross-posted to: technology@lemmy.world
arrow-up1131arrow-down1external-linkThe air begins to leak out of the overinflated AI bubblewww.latimes.comdb0@lemmy.dbzer0.comBannedBanned from community to TechTakesEnglish · vor 2 Jahrenmessage-square12linkfedilinkcross-posted to: technology@lemmy.world
minus-squareDavid GerardMAlinkfedilinkEnglisharrow-up17·vor 2 JahrenThis is why you should never allow the use of the marketing term “AI”, and instead always refer to the specific technologies. The use case for the term “AI” is to conflate things that work (ML) with things that don’t work (LLMs).
minus-squaremountainriverlinkfedilinkEnglisharrow-up4·vor 2 JahrenOk, point on language. But I thought LLMs were machine learning, or rather a particular application of it? Have I misunderstood that? Isn’t it all black boxed matrixes of statistical connections?
minus-squareDavid GerardMAlinkfedilinkEnglisharrow-up2·vor 2 Jahrenthey’re related in that sense, but what they learn is which token to generate next.
This is why you should never allow the use of the marketing term “AI”, and instead always refer to the specific technologies.
The use case for the term “AI” is to conflate things that work (ML) with things that don’t work (LLMs).
Ok, point on language.
But I thought LLMs were machine learning, or rather a particular application of it? Have I misunderstood that? Isn’t it all black boxed matrixes of statistical connections?
they’re related in that sense, but what they learn is which token to generate next.