In large language models, "41 billion parameters active per token" means that for every word processed, only a fraction of the total model is engaged. This technique, known as mixture-of-experts, boosts efficiency by activating specialized subnetworks. Developers gain faster inference and lower costs, while users benefit from more responsive, powerful AI without excessive computational demands.
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