A machine learning architecture dividing tasks among specialized sub-models, or "experts," with a gating network selecting the most relevant ones for each input. This boosts efficiency and performance in large-scale language models. AI researchers, engineers, and tech firms benefit by achieving complex results with fewer computational resources.
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