Few-Shot Learning

Few-Shot Learning refers to the ability of AI models to learn from a small number of examples. By providing 2-5 examples in the prompt, an LLM can understand format, style, or task requirements. In marketing, this enables quick adaptation to brand voice or specific content formats without extensive fine-tuning.