Tagged fine-tuning · show all articles
A permissive-sounding grant still carries a usage threshold, a use policy and a naming rule. What checkpoint you start from, how you adapt it and what you can prove about the result decide what actually ships.
A model that accepts an image is not the same as a model that uses one. A working guide to the decisions that separate the two: API or adapter, what the training pairs must contain, how to test for the unimodal shortcut, and what the tokens actually cost.
Refusal training, content classifiers and red-team programs are not proof a deployed system is safe. They are ten separately documented ways such systems keep failing, each with its own paper trail and its own cause.