The Radial Basis Function (RBF) Kernel is a popular kernel function used in support vector machines and other kernelized models to transform input data into a higher-dimensional space, making it easier to classify non-linearly separable data. It measures the similarity between two points based on the distance from a central point, effectively capturing complex patterns in the data by emphasizing local information.