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How Granular Can MoE Experts Get?

Mixture of Experts (MoE) architectures promise efficiency by activating only specialized subnetworks per input, but how fine-grained can those experts realistically be? This episode dives into the tradeoffs: Can a model have hyper-specialized experts (like "Python list comprehensions") without losing broader context or introducing routing bottlenecks? We examine real-world implementations like DeepSeek-V3 and Google’s Switch Transformer, exploring where current systems draw the line between precision and practicality—and what happens when segmentation is pushed too far. Episode 2374 —…

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