Low data regimes no longer exist in the age of LLMs, one can trivially generate a training and eval set and distill a good classifier on any domain within a day.
But I do acknowledge zero-shot is more convenient. Personally I don't think Jev has any moat so I won't bother with their model specifically, but yes I do anticipate using this type of thing more in the future.
You worded it as if it was some pithy gotcha, and I'm sure "lOw dAtA rEgiMeSs doNt eXist aNymOre" would have done numbers on LinkedIn, so maybe you thought it was new.
But no, it's right up there with "the cost of software is zero" and "saas is dead"
Refrains of the clueless grifter who deserves all the condescension one can muster.
They do exist and you can't easily generate them. Distilling is also pointless.
This might be possible, but it’s not ‘trivial’. Even getting my favorite agent to do it would involve a lot choices about what to tell the agent to do, and a bunch of testing.
With Jev, I can just write my questions and get an answer - or get an agent to write code that generates questions and gets answers. The answers are pretty good! And the whole thing is pretty trivial to understand (where ‘trivial’ here is an order of magnitude more ‘trivial’ than in your comment).
Good engineers don't treat approach as A == B or even A like B, when extremely integral parts of their applications differ.
Zero-shot isn't just "more convenient", in a low data regime: it's the only workable solution, and 100x so if your plan involves the acornym "BERT" (because even the largest of those models has the world knowledge of a fart to draw priors from)
Better ergonomics while being faster and cheaper as the existing things really is enough to justify callling what you've done a new thing, in a world of finite resources and time. It's actually making me scream how many people don't get that.