Practical Prompt Engineering Quiz

Interactive Quiz ⋅ 13 Questions
By Martin Breuss

In this quiz, you’ll test your understanding of Practical Prompt Engineering for large language models (LLMs).

By working through this quiz, you’ll revisit how to work with OpenAI’s GPT-3.5 and GPT-4 models through their API, apply prompt engineering techniques to a practical, real-world example, and use strategies like numbered steps, delimiters, few-shot prompting, chain-of-thought prompting, and roles in messages to improve your results.

The quiz contains 13 questions and there is no time limit. You’ll get 1 point for each correct answer. At the end of the quiz, you’ll receive a total score. The maximum score is 100%. Good luck!

Related Resources

Tutorial

Prompt Engineering: A Practical Example

Learn prompt engineering techniques with a practical, real-world project to get better results from large language models. This tutorial covers zero-shot and few-shot prompting, delimiters, numbered steps, role prompts, chain-of-thought prompting, and more. Improve your LLM-assisted projects today.

intermediate data-science