Architecture . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9 2.2.2 Device-Limited Routing . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9 2.2.3 Auxiliary Loss for Load Balance scores calculated for the ?-th token and all routed experts. 2.2.2. Device-Limited Routing We design a device-limited routing mechanism to bound MoE-related communication costs. When expert parallelism is In practice, we find that when ? ⩾ 3, the device-limited routing can achieve a good performance roughly aligned with the unrestricted top-K routing. 2.2.3. Auxiliary Loss for Load Balance We take the load

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high-quality apps, faster, without having to get into the source code. Security, guardrails, and routing logic are all built in. 18 AI in the EnterpriseAs a result, AI app development has accelerated

efficient alternatives is narrowing. For many use cases – summarization, classification, extraction, or routing – the difference in real-world performance is negligible. Developers are discovering they no longer