The Gauss-Seidel Method is an iterative technique used to solve systems of linear equations, particularly useful for large, sparse systems where direct methods are computationally expensive. It improves upon the Jacobi Method by using the latest available values for the variables as soon as they are computed, potentially leading to faster convergence under certain conditions.