Although Large Language Models and AI are known to generate false and misleading responses to prompts, relatively little effort has gone into understanding how we can quantify the confidence we should have in the output from these models. In this hack session, the speaker will illustrate the problem using a simple neural network and then demonstrate two methods for quantifying our confidence in the model outputs. He will then show how these methods can be applied to Large Language Models and AI.