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Multiple Choice

Which prompting style gives no examples?

Zero-shot prompting is defined by giving the model a task with no example demonstrations. You provide the instruction and the input, but there are no input–output example pairs to guide the model's behavior. The model must infer the expected format and perform the task based solely on the instruction and its general training. This is in contrast to few-shot prompting, where you attach a handful of example pairs showing the desired inputs and outputs to teach the model the expected pattern. Chain-of-thought prompting often relies on examples that reveal step-by-step reasoning to steer the model toward the final answer. Prompt engineering is the broader practice of crafting prompts and can include either zero-shot or few-shot approaches, but the defining feature for the option in question is the absence of demonstrations.

Zero-shot prompting is defined by giving the model a task with no example demonstrations. You provide the instruction and the input, but there are no input–output example pairs to guide the model's behavior. The model must infer the expected format and perform the task based solely on the instruction and its general training.

This is in contrast to few-shot prompting, where you attach a handful of example pairs showing the desired inputs and outputs to teach the model the expected pattern. Chain-of-thought prompting often relies on examples that reveal step-by-step reasoning to steer the model toward the final answer. Prompt engineering is the broader practice of crafting prompts and can include either zero-shot or few-shot approaches, but the defining feature for the option in question is the absence of demonstrations.