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Curriculum Learning

Curriculum learning is a training strategy where an AI model is initially trained on easier examples or simpler tasks, and progressively introduced to more complex data or tasks as its performance improves. This mimics how humans learn, starting with fundamentals and gradually building complexity, often leading to faster convergence and better final model performance compared to training on all data randomly from the start.

In plain terms

Curriculum learning is like teaching a child to read, starting with simple words and sentences before moving on to complex paragraphs and novels.

Why it matters

It guides AI models through a more effective learning trajectory, improving training efficiency and potentially achieving higher accuracy or faster convergence on challenging problems.

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