Few-Shot Prompting Theory | How AI Learns from Examples

Title : Few-Shot Prompting Theory | How AI Learns from Examples Description : Few-Shot Prompting is a core concept in prompt engineering that explains how modern AI models learn patterns and perform tasks using only a small number of examples provided inside the prompt. Instead of retraining the model or writing complex logic, Few-Shot Prompting allows users to guide the model’s behavior simply by showing it a few representative input–output pairs. This video focuses purely on the theory behind Few-Shot Prompting and how it works internally. The explanation begins by placing Few-Shot Promptin…