Mixture of Experts (MoE) — An architecture where a model contains many specialized sub-networks (experts) but only activates a few for each input. DeepSeek V3 uses this — 685B total parameters but only ~37B active per token. Delivers frontier performance at a fraction of the compute cost.
Why It Matters
Understanding Mixture of Experts is critical for developers and decision-makers working with AI systems. As the technology evolves rapidly, knowing these fundamentals separates informed decisions from costly mistakes.
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