Moe Examples?
6.3BRAINROT SCOREMoE Short for mixture of experts: a neural-network design in which several specialized sub-networks (experts) sit behind a gating mechanism that routes each input to only some of them, so only a fraction of the model's parameters is used for each input.
Origin:Wikipedia dates the classic form to Jacobs, Jordan, Nowlan and Hinton's February 1991 paper "Adaptive Mixtures of Local Experts". Sparsely-gated layers appeared at Google Brain in 2017, and Mistral AI's Mixtral 8x7B (December 2023, 8 experts, 2 active) brought the design into wide open-weight use.
First Seen:1991-02 (Jacobs, Jordan, Nowlan, Hinton paper, per Wikipedia)
Peak Era:2023-2026
Aura Impact:+1 Aura (Using It Correctly In Context)
EXAMPLE USAGE
""The model is an MoE, so only a small slice of its parameters runs for each token.""
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