Maximum Entropy Modeling, or MaxEnt, is a statistical framework used to derive probability distributions that best represent the current state of knowledge while making the fewest assumptions, guided by the principle of maximizing entropy under constraints. It is widely utilized in fields like natural language processing, ecological modeling, and statistical physics due to its ability to model complex systems with minimal bias.