What is active learning in AI?
Active learning is a machine learning approach where the algorithm selects the most informative data points to learn from.
How does it differ from traditional learning methods?
Unlike traditional methods that use a fixed dataset, active learning iteratively queries the user to label new data.
Can you give me an example of how it's used?
Sure! In image classification, an active learning model might ask for labels on images it finds uncertain.
What are the benefits of using active learning?
It reduces the amount of labeled data needed, saves time, and improves model performance by focusing on challenging examples.
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