Mixture of Experts

Mixture of Experts (MoE) is a machine learning technique that involves training multiple models, each specializing in a different aspect of the data (the "experts"), and then combining their outputs. The idea is to leverage the strengths of each expert on the parts of the data where they perform best. This approach can improve overall performance and accuracy in complex NLP tasks.