A sparse mixture-of-experts (MoE) network is a type of neural network architecture designed to handle vast amounts of information more efficiently than traditional, dense neural networks. The key characteristics of this architecture include its modularity, scalability, and ability to dynamically allocate computing resources based on the input data. Flash attention sliding window attention