Impact of MoE

You've probably heard that GPT-4, Claude, Gemini, and most other frontier models use Mixture-of-Experts (MoE) architectures. MoE is everywhere now – but good luck implementing one.

Here is the problem: despite widespread adoption and numerous MoE publications, most resources are either outdated research papers or high-level overviews that skip the messy details. You’re left with critical questions. How many experts should you use? Which routing strategy is go to for you? How do you debug a diverged MoE model? This series fixes that. Just keep scrolling.