Expert Network

Expert networks, a type of machine learning architecture, aim to improve model efficiency, adaptability, and specialization by combining multiple specialized "expert" models. Current research focuses on optimizing Mixture-of-Experts (MoE) models, exploring variations like adaptive routing and distributed implementations across devices (e.g., in wireless networks), and applying them to diverse tasks such as natural language processing, image classification, and question answering. This approach offers significant potential for enhancing the performance and scalability of large language models and other complex AI systems, particularly in resource-constrained environments or when dealing with diverse data distributions.