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Is Prompting a Way of Teaching a Neural Network?
Nia's neighbor is almost the simplest algorithm that you can, that does not require learning so it has this interesting like you don't need to compute gradients. What NIRS neighbor does is you quote unquote, have a data set or upload a data set. And then all you need to do is a way to measure distance between points. To classify a new point, you're just simply computing what's the closest point in this massive amount of data.