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What is self-supervised learning, and how do contrastive methods and masked prediction work?

Self-supervision is how modern models pretrain on unlabeled data, the engine behind LLMs and modern vision. The signal is the pretext-task idea and the real difference between contrastive and masked-prediction objectives.

Updated Aug 2026 · Grounded in real Applied AI Engineer interview loops and written to a senior-engineer editorial bar.

Self-supervision is how modern models pretrain on unlabeled data, the engine behind LLMs and modern vision. The signal is the pretext-task idea and the real difference between contrastive and masked-prediction objectives.

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