Gaussian error linear unit (GELU)

Gaussian Error Linear Unit (GELU) is a type of activation function used in neural networks. It combines properties from both the rectified linear unit (ReLU) and the normal distribution function. This function helps the model to make more accurate predictions by allowing the model to learn more complex patterns.