The mixture of expert architecture is a model that combines the strengths of multiple 'expert' models to make more accurate and robust predictions. It is implemented through a set of models trained on subsets of data, which are then combined using a gating network. This approach allows for more flexibility and improved
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Mixture of Expert Architecture. Definitions and Applications included Google’s Gemini and Mixtral 8x7BFrank Morales Aguilera, BEng, MEng, SMIEEEUnderstanding the ConceptImplementationBenefits and ChallengesSome applications of a mixture of expert architectureGoogle Gemini uses MoE.Mixtral 8x7B use SMoEHow does SMoE improve the performance of Mixtral 8x7B?What is the difference between MoE and SMoE?Case study.ConclusionReferencesIn Plain English 🚀Sort: