What are the benefits of hybrid AI approaches?
Hybrid AI approaches combine different AI techniques, like machine learning and rule-based systems, to enhance performance.
Can you give me some specific examples of hybrid AI in action?
Sure! One example is in healthcare, where hybrid AI can analyze patient data using machine learning while applying expert rules for diagnosis.
How do hybrid approaches improve decision-making?
They leverage the strengths of various methods, allowing for more accurate predictions and better handling of complex scenarios.
Are there any challenges with hybrid AI systems?
Yes, challenges include integration complexity and the need for extensive data to train different models effectively.
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