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Mixture-of-Experts LLMs Explained: How Sparse Architectures Make AI Faster, Cheaper and More Capable
Why Mixture‑of‑Experts Models Are Suddenly Everywhere For several years, progress in large language models (LLMs) followed a simple rule: make the models bigger and they become more capable. Billions of additional parameters, trained on ever larger datasets, reliably pushed benchmark scores higher. The trade-off was obvious and painful: bigger models were also slower and dramatically…