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Online Learning
Online learning refers to AI models that continuously learn from a stream of data as it becomes available, rather than being trained once on a fixed dataset. The model updates its parameters incrementally with each new input, adapting to changes in the data distribution over time. This is crucial for systems that need to evolve and respond to dynamic environments.
In plain terms
It's like a student who learns something new every day from hands-on experience, constantly updating their skills and knowledge as they go.
Why it matters
It allows AI systems to adapt to new data in real-time, making them suitable for dynamic environments where data patterns constantly change.
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