Composite AI is a type of artificial intelligence (AI) that combines multiple AI systems or models to achieve a specific task or goal. It is often used when a single AI system is insufficient to solve a particular problem, or when combining multiple systems can improve the system’s overall performance.
A good example of composite AI would be a system that combines multiple machine learning models to improve the accuracy of a prediction task. The system might use one model to identify patterns in the data, another model to make predictions based on those patterns, and a third model to validate the predictions. By combining the outputs of these models, the system can make more accurate predictions than any single model could on its own.
Put simply, composite AI is a way to combine multiple AI systems or models to achieve a specific task or goal and can often improve the performance of the system compared to using a single model.
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