Prompt engineering combines linguistic skill with an understanding of how language models process text. Core techniques include setting context, providing examples (few-shot), giving clear formatting instructions, and breaking complex tasks into steps. Good prompt engineering reduces hallucinations and makes results reproducible. In teams, proven prompts are often versioned and shared in a prompt library.
Prompt Engineering
Prompt engineering is the practice of designing inputs for AI models so they produce the most precise and useful responses. It includes techniques such as few-shot examples, role instructions, and chain-of-thought.