Mixture-of-Experts Transformer

Mixture-of-Experts Transformer architectures aim to increase model capacity without requiring all parameters to be active for every input. A routing mechanism decides which expert subnetworks should process the incoming example. This creates a new balance between computational efficiency and model scale. In large-scale systems, it embodies the idea of efficient specialization.