Continual learning enables AI systems to acquire and refine knowledge over time without forgetting previous tasks. It’s used in robotics, recommendation engines, and autonomous vehicles to adapt to new data. Developers, data scientists, and businesses benefit by reducing retraining costs and improving model longevity in dynamic environments.
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