The $qs$ Inequality: Quantifying the Double Penalty of Mixture-of-Experts at Inference
The $qs$ Inequality: Quantifying the Double Penalty of Mixture-of-Experts at Inference explores This research quantifies the inefficiencies of Mixture-of-Experts models at inference, proposing a new criterion for evaluating their performance against dense models.. Commercial viability score: 4/10 in Model Efficiency.
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