What are the main challenges of hybrid AI models?

What are the main challenges of hybrid AI models?

Hybrid AI models combine different AI techniques, like symbolic reasoning and machine learning, but they face integration issues.

Can you elaborate on the integration issues?

Sure! Integrating symbolic reasoning with machine learning can be complex due to differing data formats and processing methods.

Are there any specific examples of these challenges in real-world applications?

Yes, in healthcare, combining rule-based systems with deep learning can lead to conflicts in decision-making processes.

How can these challenges be addressed?

Addressing these challenges often involves developing better frameworks for collaboration between different AI components.