Lifelong Learning (Continual Learning)
Lifelong learning, also known as continual learning, is an advanced machine learning paradigm where an AI system can sequentially learn new tasks or knowledge without forgetting previously acquired capabilities. Unlike traditional models that are retrained from scratch for new tasks, lifelong learning aims to incrementally expand a model's knowledge base. This often involves strategies to mitigate 'catastrophic forgetting', where learning new information erases old information.
It's like a person continuously learning new skills throughout their life, building on past experiences without losing old ones, rather than having to relearn everything each time.
This approach is essential for developing intelligent agents that can adapt and evolve in real-world environments, learning continuously from new data and tasks without constant retraining cycles.
Learn one new AI thing every day.
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