Prompt Engineering
Prompt engineering is the design and refinement of the questions or instructions given to AI models (especially large language models) to guide them toward more accurate, relevant, and useful answers.
How it works
At its core, the quality of an AI model's output depends heavily on the prompt it receives. By crafting prompts carefully—providing clear instructions, context, examples, or specific formatting requirements—you can significantly improve model performance. That makes it a key skill for getting the most out of generative AI.
Examples
- 1.Have an AI model turn meeting minutes into a well-structured, professionally toned client email.
- 2.Provide a few examples (e.g., converting “happy” to “joyful”) to guide an AI model into learning a new task like synonym substitution.
- 3.In a marketing scenario, instruct the AI to generate a series of social media posts with a consistent style and specific keywords.