AI & Machine Learning

MoE vs Edge AI: They Are Not the Same Thing

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Mixture of Experts (MoE) models allow for the creation of large neural networks with a high total parameter count, but only a subset of 'experts' are activated for any given input. This sparse activation significantly reduces the computational load for each token, making complex models more feasible for resource-constrained environments like mobile devices. MoE refers to the model's architecture, distinct from 'edge computing' which describes where computation occurs.

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