Expert Model

Expert models represent a burgeoning field focused on creating AI systems with specialized knowledge and skills, surpassing the capabilities of general-purpose models. Current research emphasizes developing and refining architectures like Mixture of Experts (MoE) and Retrieval-Augmented Generation (RAG) to improve efficiency, accuracy, and trustworthiness in various applications, including healthcare, cybersecurity, and education. These advancements are significant because they enable more reliable and efficient AI solutions for complex tasks, particularly in domains with limited data or where specialized expertise is crucial. The resulting models are finding practical applications across diverse fields, improving decision-making and problem-solving.