Mixture of experts (MoE): how it works and why it matters
中文摘要
MoE是一种神经网络设计，为每个输入令牌仅激活部分模型参数，提高效率和可扩展性。
English Summary
Mixture of Experts (MoE) is a neural network design that activates only a subset of its parameters for each input token, enhancing efficiency and scalability.
原文节选
Mixture of experts (MoE) is a neural network design that activates only a portion of the model for each input token. A model can therefore… Continue reading on Medium »