hybrid models

Hybrid models combine different types of methods or technologies to solve a problem more effectively than any single approach alone. For example, in artificial intelligence, a hybrid model might blend rule-based systems (which follow strict logic) with machine learning (which learns from data). This combination leverages the strengths of each, such as accuracy and adaptability, resulting in more robust, flexible solutions. Essentially, hybrid models integrate diverse techniques to improve performance, manage complexity, and better handle real-world situations where no single method is sufficient on its own.