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I can explain Few-shot Learning
Teaching by showing a few examples inside the prompt.
Few-shot prompting includes a small number of input-output examples in the prompt so the model can mimic the pattern for a new case.
Sticky trick
Few-shot = show 2–5 good samples, then ask for the next.
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In plain English, what is Few-shot Learning?
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