但当AI工具开始能够理解自然语言、调用工具并自动完成任务时，这种门槛正在被重新定义。人们不再需要掌握复杂的软件操作，只需要表达自己的意图。
The MoE strategy: 128 compact specialists to reduce operational expenses. The structural decisions within the 26B A4B model warrant special consideration from teams analyzing inference economics. Instead of mimicking recent large MoE designs employing few substantial experts, Google implemented 128 miniature experts, engaging eight per token alongside one constantly active shared expert. The outcome is a system that performs comparably to standard models in the 27–31 billion range while operating at approximately the velocity of a 4-billion model during inference.
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