End User Authoring of Personalized Content Classifiers: Comparing Example Labeling, Rule Writing, and LLM Prompting
arxiv.orgSaved by Sam Liebeskind
End User Authoring of Personalized Content Classifiers: Comparing Example Labeling, Rule Writing, and LLM Prompting
Clearest path to getting the most out of LLMs according to Google's new 68 page "prompt engineering" book https://t.co/xR3qw0jWh0
We identified 30 types of tasks that UX professionals used generative AI tools for in their work. We grouped these tasks under four roles: content editor, research assistant, ideation partner, or design assistant.
- Content editor : Generating and editing text, from microcopy to social media posts, based on specifications or copy given by UX practiti
Mingjin Zhang • AI as a UX Assistant
This is, by the way, the dirty secret of the machine learning movement: almost everything produced by ML could have been produced, more cheaply, using a very dumb heuristic you coded up by hand, because mostly the ML is trained by feeding it examples of what humans did while following a very dumb heuristic. There's no magic here. If you use ML to t... See more
Forget Privacy: You're Terrible at Targeting Anyway
Rule 1: Figure Out If You’re in an Ill-Structured Domain