Hybrid AI refers to a type of artificial intelligence system that uses both rule-based and machine learning-based methods. By combining the two approaches, a hybrid AI system can benefit from the strengths of each method. Rule-based systems are fast and reliable, while machine learning algorithms are flexible and can adapt to changing conditions. By using a hybrid AI system, the overall performance and accuracy can be improved compared to using a single AI approach.
Hybrid AI is often used in areas such as customer service and language processing, where a combination of rule-based and machine learning methods is needed to provide a desired outcome: for for handling common and complex queries in customer support, making predictions based on medical data analyses, for targeting advertisements, etc.
How AI is Used in Recommendation Systems
Rule-Based System VS Machine Learning System
A rule-based system is a method of AI that operates through pre-established protocols. Unlike ML systems, they can't make predictions or decisions.
Bias in AI refers to the problem of unfair and unequal treatment of certain groups or individuals in artificial intelligence algorithms, models, and systems.
AI in Healthcare
Artificial Intelligence (AI) is transforming healthcare by streamlining operations and enhancing patient care. Its impact is far-reaching.