AI is actually deterministic, a random input is usually included to let you get multiple outputs for generative tasks. And anyway, you could just save the “random” output when you get a good one.
Maybe deterministic wasn’t quite the correct word but basically it only gives you a result that resembles your previous result if you change absolutely nothing, not the training data for the model, not the model, not the random seed, not the prompt,… which makes it useless for iteratively approaching a usable result. I guess the output space is not contiguous might be a better way to describe it.
As a programmer I can tell you that AI is nothing like programming because programming is deterministic and repeatable and AI is anything but.
AI is actually deterministic, a random input is usually included to let you get multiple outputs for generative tasks. And anyway, you could just save the “random” output when you get a good one.
Maybe deterministic wasn’t quite the correct word but basically it only gives you a result that resembles your previous result if you change absolutely nothing, not the training data for the model, not the model, not the random seed, not the prompt,… which makes it useless for iteratively approaching a usable result. I guess the output space is not contiguous might be a better way to describe it.
Right, technically deterministic, but not practically