What are hybrid techniques in AI?

What are hybrid techniques in AI?

Hybrid techniques in AI combine different methodologies, like machine learning and rule-based systems, to enhance performance.

Can you give me an example of a hybrid technique?

Sure! A common example is using neural networks alongside traditional algorithms to improve decision-making in complex tasks.

What are the benefits of using hybrid techniques?

Benefits include improved accuracy, flexibility in problem-solving, and the ability to leverage the strengths of multiple approaches.

Are there any challenges with hybrid techniques?

Yes, challenges include increased complexity, potential integration issues, and the need for more computational resources.

How do hybrid techniques compare to pure AI methods?

Hybrid techniques often outperform pure methods by combining strengths, but they can be more complex to implement.