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Artificial Intelligence & Machine Learning
Q81 / 100
What is self-supervised learning and how is it used in modern AI?
Correct! Well done.
Incorrect.
The correct answer is B) Learning representations from unlabeled data by creating supervised signals from the data itself (masked prediction, contrastive learning), enabling pre-training at scale
B
Correct Answer
Learning representations from unlabeled data by creating supervised signals from the data itself (masked prediction, contrastive learning), enabling pre-training at scale
Explanation
SSL (BERT: masked token prediction; GPT: next token prediction; CLIP: image-text contrastive; MAE: masked image patches) enables pre-training on internet-scale unlabeled data, learning powerful representations.
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