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Draws boxes around detected objects.
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Represents words as numeric relationships in space.
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Matches faces against known images.
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Captures semantic relationships between words.
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Fine-tunes an existing network for new data.
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AI predicts what users might like next.
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Uses techniques like differential privacy or encryption.
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Recommends items based on similar user behavior.
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Trains models across devices without sharing raw data.