OpenAI: Prompt Engineering Best Practices
OpenAI’s models are mind-blowingly impressive, even with the simplest of prompts. But they’ve even more impressive with better input. This course will teach you how to create more effective prompts by implementing OpenAI’s best practices.
What you'll learn
OpenAI’s tools and models are super easy to use, and give impressive results even with the most basic of prompting. But by applying more advanced techniques, you can elevate the quality of your prompts and responses. In this course, OpenAI: Prompt Engineering Best Practices, you’ll learn how to apply best practices to your prompts for OpenAI’s GPT models. First, you’ll explore the art and science of writing clear, concise instructions. Next, you’ll discover the benefits of using reference text with your prompts. Finally, you’ll learn to split complex tasks into smaller parts, and how to look into the “thought processes” of GPT models. When you’re finished with this course, you’ll have the skills and knowledge of prompting best practices to be more productive and effective using OpenAI’s tools and models.
Table of contents
- Taking Your Prompting to the Next Level 4m
- Getting Specific and Descriptive 3m
- Working with Personas 3m
- Using Delimiters to Separate Parts of the Input 2m
- Specifying Steps to Complete a Task 2m
- Providing Examples for Better Output (Few-shot Prompting) 2m
- Specifying Length and Other Explicit Constraints 3m
About the author
Amber has been a software developer and technical trainer since the early 2000s. In recent years, she has focused on teaching AI, machine learning, AWS and Power Apps, teaching students around the world. She also works to bridge the gap between developers, designers and businesspeople with her expertise in visual communication, user experience and business/professional skills. She holds certifications in machine learning, AWS, a variety of Microsoft technologies, and is a former Microsoft Cer... more