<ul><li>MCP stands for Mixture of Compressed Experts, a concept that enhances the Mixture of Experts (MoE) model by incorporating compression techniques to address memory requirements.</li><li>Traditional MoE models involve a set of expert sub-models, with only a few experts activated per input to improve computation efficiency. However, an increase in the number of experts leads to larger model sizes and higher memory usage.</li><li>MCP overcomes this challenge by using compressed, lightweight experts that maintain a significant portion of the original capacity, promoting memory efficiency.</li><li>MCP signifies a new approach for large language models, emphasizing efficiency, accessibility, and scalability to ensure sustainable and usable AI performance in real-world applications.</li></ul>

How MCP Works: Transforming the Future of Large Language Models

Discover more