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ibm.com
What Is Zero-Shot Learning? | IBM
Zero-shot learning is a machine learning problem in which an AI model is trained to recognize and categorize objects or concepts that it has never seen before.
Jan 24, 2024
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“AI recognizing things it’s never seen before” Zero‑shot learning lets an AI handle new classes or tasks it never saw in training, using descriptions or context instead of labeled examples. It uses descriptions, attributes, or text to infer what the new class should look like. “Zebra Example” Model was trained only on horses. You tell it: “A zebra is like a horse with black‑and‑white stripes.” When it sees a striped horse‑like animal, it can label it “zebra” even though it never saw a zebra imag
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