Prompt Engineering: A Practical Guide to Getting Better Results from Large Language Models
A practical guide to prompt engineering, covering proven techniques, configuration strategies, and best practices to help practitioners improve accuracy, reliability, and efficiency when working with large language models.
Lee Boonstra
Prompt Engineering Specialist, Google
Table of contents
Share
This guide explains how prompt design, model configuration, and advanced prompting techniques—such as chain-of-thought, few-shot prompting, and role prompting—can significantly improve the quality, reliability, and efficiency of large language model outputs, with practical guidance for real-world and enterprise use.



