Towards Agile Text Classifiers for Everyone · HackerPapers discussions

Towards Agile Text Classifiers for Everyone — mentioned by lisasays

Wed, 12 Apr 2023 02:43:17 GMT

Re: https://arxiv.org/abs/2302.06541 - how are we supposed to take the phrase "agile text classification" seriously? They could have just said "efficient". But no - they had to go for "agile".

Paper and discussion history. A mention is not an endorsement.

Towards Agile Text Classifiers for Everyone — mentioned by yacine_

Tue, 11 Apr 2023 16:09:45 GMT

More like: the accessibility is what will make it go around. The accessibility is what changes everything! Getting an easy to use interface (instructions) over python changes the accessibility from the denizens of this website to ~anyone with a computer If you're interested, see this paper that argues that point: https://arxiv.org/abs/2302.06541 Essentially, being label efficient is more important than being compute efficient, because the biggest computing constraint we have is enough humans doing the labeling (and knowing how to work a jupyter notebook), not tensor smashing nvidia cards

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Towards Agile Text Classifiers for Everyone — mentioned by yacine_

Sun, 26 Feb 2023 20:31:16 GMT

you can automatically learn soft prompts with backprop so.. the job "prompt engineering" isn't going to stick around for too long given it's automatable. https://arxiv.org/abs/2302.06541 That is not to say, that integrating LLMs won't create a lot of jobs. Think of it as systems engineering. Knowing how computers work, as well as a software engineer does, will always be useful.

Paper and discussion history. A mention is not an endorsement.