Generalized Model - What is the difference between linear and generalized linear?

The distribution of the dependent variable (Y) is a crucial differentiator between the generalized linear model and the general linear model. The dependant variable in the general linear model is assumed to have a normal distribution. Nevertheless, the generalized linear model provides a versatile extension of the ordinary linear regression models, allowing the dependent response variables to adhere to a non-normal error distribution.