The mixer of Experts(MOE) -- Modern architecture for divide and concur learning

In this article, we will discuss what is the Mixer of Experts (MOE) architecture, the Internal workings of the MOE model, and how it differs from the existing model architectures. The Mixer of Experts is an ensemble approach where the whole problem is divided into multiple sub-tasks and will train a cluster of experts on each subtask. MOE model will cover different input data with different learners(experts). MOE architecture basically consists of two main components. The Mixer of the Expert layer consists of a set of experts which are trained to be experts in specific sub-tasks.