Mixture of experts

Machine learning technique that combines multiple specialized models, known as 'experts,' to enhance performance on complex tasks. This approach uses a gating mechanism to allocate tasks to the most suitable expert, thereby leveraging the strengths of different models for improved accuracy and efficiency. The Mixture of Experts technique is particularly beneficial for tasks requiring diverse model capabilities and is often utilized in fields like natural language processing and computer vision.