What a decentralized mixture of experts (MoE) is, and how it works
A decentralized mixture of experts (MoE) is an advanced machine learning framework that enhances model efficiency by distributing specialized decision-making across multiple nodes. Each expert specializes in particular tasks, enabling targeted analysis and improved performance in complex scenarios.
