An AI system's ability to constantly adapt and improve its performance by learning from new data over time.
More about Continuous Learning
Continuous Learning pertains to the ongoing process where AI systems learn and refine their models based on new data and feedback, even after their initial training. Unlike traditional machine learning models that are trained once and then deployed, continuous learning systems evolve, adapt, and improve as they encounter new scenarios and receive more data.
This approach ensures that AI models remain relevant, accurate, and efficient, especially in dynamic environments where data patterns can change.
