The Rise of Mixture-of-Experts for Efficient Large Language Models

In the world of natural language processing (NLP), the pursuit of building larger and more capable language models has been a driving force behind many recent advancements. However, as these models grow in size, the computational requirements for training and inference become increasingly demanding, pushing against the limits of available hardware resources. Enter Mixture-of-Experts (MoE), […]

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