Few-shot Prompting

Few-shot prompting is a technique where the prompt includes several example input–output pairs to demonstrate the desired pattern before asking the model to generate a new response. It leverages in-context learning instead of fine-tuning. For AI and marketing teams, few-shot prompts provide an efficient way to teach models specific AI message styles, brand voice, and structural conventions without modifying underlying model weights. Few-shot prompting is a technique where the prompt includes several example input and output pairs to demonstrate the desired pattern before asking for a new result. The model learns behavior from these in-context examples without extra training. For AI designers and marketers, few-shot prompts are a powerful way to teach consistent message structure, brand voice, and campaign logic without modifying model weights.