Probability & Stats

Probability and Statistics form the bedrock of predictive modeling, and this section is dedicated to the study of uncertainty in AI. We discuss Bayesian inference, the properties of probability distributions, and the statistical methods used to validate model outputs. From understanding the distribution of tokens in a language model to calculating confidence intervals for predictive agents, this space provides the mathematical tools required to build reliable and mathematically sound artificial intelligence systems.