Comment by reacharavindh
18 hours ago
The way I see this (I havent played around with Jev or layla the OSS version) is that classifiers have always existed and a recognised tool in the ML world. But, the norm is that one needs to not only know what to classify as, but determine what weights to use to classify the input.
Jev came in, and added that magic of "you dont need to train your classifier or determine the weights" if you dont want to, and just get the classified answer out. I think that's what is making people see this with a glitter in their eyes.
I would be curious to see comparisons of jev and similar things with problem specific classifiers. I think layla suggested making problem specific versions anyway? There is a lot of demand for magic don't do any work solutions, which is kind of weird in an era where agents can really help you build a customised solution effectively.
Yes, I've been enjoying playing with Jev. But I do keep wondering: maybe I could just train my own classifier for each of these things I'm doing?
But it's still pretty nice to have an extremely low barrier to entry to prototype something involving a classifier. I keep being like "hmm, that seems useless actually, let's try something else". It's nice to be able to get to that point before needing to gather all the data and create a bespoke classifier.
Agreed.
Just to be helpful if anyone is searching for layla, it's laya.