Deep-Dive into DeepSeek's MoE Architecture for LLMs
Unpacking DeepSeek: The Power of Sparse Mixture-of-Experts in Large Language Models The landscape of Large Language Models (LLMs) is continuously evolving, with new architectures and training methodologies pushing the boundaries of what’s possible. Among the rising stars in the open-source community, DeepSeek models have garnered significant attention, particularly for their innovative application of the Mixture-of-Experts (MoE) architecture. This deep dive will go beyond mere performance metrics, dissecting the ‘under-the-hood’ mechanisms that make DeepSeek models both powerful and efficient.