MLOps
Machine Learning
An ML architecture using multiple specialized sub-models (experts) and a gating mechanism to route inputs.
Detailed Explanation
Mixture of Experts (MoE) is a machine learning architecture that combines several specialized sub-models, called experts, to improve overall performance. A gating mechanism evaluates each input and dynamically routes it to the most relevant experts. This approach enhances model efficiency and accuracy by leveraging the unique strengths of individual experts for different tasks or data patterns.
Use Cases
- •Optimizes large language models by routing specific inputs to specialized experts, improving accuracy and computational efficiency in diverse NLP tasks.
Related Terms
Other terms in the Machine Learning category