great question! MoE stands for mixture of experts. It is a type of model architecture that allows us to train more compute efficient models compared to the dense networks. Compute efficiency comes from the introduction of specialized expert networks within the overall architecture. Each expert is subdividing the problem space, making overall network converge to a better optimum faster.