Summary  
Prompt engineering involves creating precise and well-structured prompts to guide large language models in generating accurate, relevant, and useful text outputs.

General domain of usage  
AI-driven text generation

**Prompt** is the input or instruction given to an AI model to elicit a response.

Definition

**Prompt engineering** is the process of crafting, testing, and refining prompts to optimize AI-generated results.

Prompt engineering is the practice of designing and refining instructions (**prompts**) to guide large language models (**LLMs**) toward producing useful, relevant, and accurate outputs. A **prompt** is the input text or question you give to an AI model, and its quality directly affects the AI's response.

**Prompt engineering** is essential because LLMs respond to the instructions they are given. **Clear, well-structured prompts** help the AI understand your intent.

**Example of an effective prompt:** 

- `Summarize the main points of the following article in three bullet points`;
- `List three benefits of regular exercise for adults`;
- `Rewrite the following sentence to make it more formal`;
- `Generate a Python function that calculates the factorial of a number`.

**Example of a poor prompt:** 

- `Tell me about this`;
- `Explain`;
- `Write something interesting`;
- `Code it`.
  
The first set of prompts is **specific** and **clear**, while the second set is **vague** and may lead to unfocused responses.

Always consider what information the AI needs to generate the best response. The more **precise** your prompt, the better the output.

Note

Which of the following best describes prompt engineering?

A beginner-friendly, fully theoretical course introducing the core concepts and practical strategies of prompt engineering for large language models (LLMs). Learn how to structure, refine, and optimize prompts to achieve better AI-generated results.

Explore the essential building blocks of prompt engineering, including what prompts are, why they matter, and the key principles for effective communication with LLMs.

Practical prompting techniques for controlling AI behavior and improving response quality.

Learn how to refine, evaluate, and improve prompts for consistency and real-world use cases.

What is Prompt Engineering?