Mixture of Experts Explained

This article, sourced from Hugging Face, likely provides an explanation of the Mixture of Experts (MoE) architecture in the context of AI, particularly within the realm of large language models (LLMs). MoE is a technique that allows for scaling model capacity without a proportional increase in computational cost during inference. The article would probably delve into how MoE works, potentially explaining the concept of 'experts,' the routing mechanism, and the benefits of this approach, such as improved performance and efficiency. It's likely aimed at an audience with some technical understanding of AI concepts.

• •MoE is a technique for scaling model capacity.
• •It reduces computational cost during inference compared to other scaling methods.
• •The article likely explains the components of MoE, such as experts and routing.