Was ist Mixture of Experts (MoE)

Definition

Mixture of Experts (MoE) is a neural network architecture that doesn't activate the entire model for every input. Instead, a routing network intelligently selects only the most suitable subnetworks ("experts") for each specific task.

Explanation

The MoE architecture enables the development of extremely large AI models with hundreds of billions of parameters without the inference computation costs skyrocketing. Because only a fraction of the available experts is activated for each token, this keeps execution times short and efficiency high. This results in more powerful yet more cost-effective models. This presents a significant advantage for SaaS platforms and B2B applications, as it allows highly specialized behaviors (e.g., logical reasoning, code generation, or creative writing) to be unified within a single model without API calls becoming prohibitively expensive. Consequently, complex tasks within CRM and sales operations can be automated with greater resource efficiency.