4 ms·
It's rigor applied where we don't need it, and ignores where we do (mathematical proofs and NN theory, architecture, hyper parameters, training schemes, etc).
by chaxor 3y ago
It's rigor applied where we don't need it, and ignores where we do (mathematical proofs and NN theory, architecture, hyper parameters, training schemes, etc).
I have a somewhat irrational hatred towards almost all of the prompt oriented stuff being thrown about recently. There are a few (very few) input related training schemes that are interesting, but quite a bit of the "proompt-physicians" are just heralding the idea of essentially 'concise and effective communication' as 'I'm a ML expert now' ... which is annoying.
- Der_Einzige 3y agoWhy would you dislike actual prompt engineering? This isn't some grifter trying to claim they're an expert because they wrote a cool prompt, this is a full fledged structured templating system for LLMs from an excellent author whose done a ton of other ML work. I think you should attack actual grifters instead of an excellent project.