Few-shot Prompting
Also called: Few-Shot Learning, Example-Based Prompting
A prompting technique that guides a language model by including a small number of input-output examples in the prompt, helping the model infer the desired task, format, or behavior.
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Related terms
Zero-shot Prompting
A prompting technique where a model is asked to perform a task without being given any prior examples in the input context.
One-shot PromptingA prompting technique that provides a single example demonstrating the desired task or output format before asking a model to perform the task.
Prompt TemplateA reusable prompt structure containing fixed instructions and variable placeholders for generating consistent inputs to an AI model.