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Define and compare shot-based prompting methods, ranging from zero-shot techniques that use no examples to few-shot strategies that provide multiple demonstrations. By utilizing these examples, users can guide Large Language Models to follow specific patterns, extract structured data, or generate creative content with higher accuracy.
