mixture-of-experts

Coverage here centers on the architectural pattern where a model routes each token to a small subset of specialized expert networks, activating only a fraction of total parameters per forward pass. Expect practical discussion of sparse activation, routing strategies, and the gap between total and active parameter counts that lets large models run on modest hardware. Posts examine how MoE designs shape inference cost, memory footprint, and self-hosting viability, plus how specialized expert mo...