Mixture of Experts (MoEs) is a technique used in deep learning models to improve their performance. In this context, MoEs are applied to transformers, a type of neural network architecture commonly used for natural language processing tasks. The idea behind MoEs is to have multiple experts that specialize in different aspects of the task and then combine their outputs. This approach can lead to better accuracy and efficiency compared to traditional transformer models. --- Why it matters: This matters because it could improve the performance of AI models on complex tasks, such as language translation and text generation, by allowing them to focus on specific areas of expertise. Source: https://huggingface.co/blog/moe-transformers