Composite AI is a type of artificial intelligence (AI) that combines multiple AI technologies or machine learning models to achieve a particular goal or solve a specific problem.
One example of composite AI might be a system that uses a combination of multiple machine learning algorithms and natural language processing (NLP) techniques to understand and respond to patient symptoms. Machine learning algorithms might be used to classify and categorize the symptoms. In contrast, the NLP techniques might be used to understand the meaning and intent behind the various medical reports generated.
Another example might be a system combining computer vision and robotics technologies to automate manufacturing processes. Computer vision algorithms might be used to identify and track objects as they move through the manufacturing process. In contrast, robotics technologies might be used to manipulate and assemble objects as needed.
In summary, 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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