End User Authoring of Personalized Content Classifiers: Comparing Example Labeling, Rule Writing, and LLM Prompting

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

Clearest path to getting the most out of LLMs according to Google's new 68 page "prompt engineering" book https://t.co/xR3qw0jWh0

Language models need auteurs and creative directors, not “thumbs up if you liked this personality”