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Few-Shot Learning

Guiding a model by providing a few examples in the prompt, without any additional training.

For example, showing 2–3 input/output pairs before your real request teaches the model the exact format and tone you want. Contrast with zero-shot, where no examples are given.

Related resources

Prompt Engineering Guide
A widely recognised, community-driven resource that systematically teaches prompt engineering — from foundational techniques like zero-shot and few-shot prompting to advanced methods such as chain-of-thought reasoning. It includes multilingual examples, model-agnostic design principles, and practical tips that help practitioners at every level improve AI output quality in a structured way.
Learn Prompting Tutorial
Learn Prompting is a free, open-source course that systematically teaches prompt engineering from foundational techniques to advanced strategies like chain-of-thought and few-shot learning. It covers text, image, and code generation prompts, making it a comprehensive resource for anyone looking to get better results from AI models.