OpenAI: Prompt Engineering Best Practices

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Chris Behrens

55:47

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1. Course Overview

1. Course Overview.mp4

01:51

2. Crafting Clear Prompts for Generative AI Models

1. Taking Your Prompting to the Next Level.mp4

03:39

2. Getting Specific and Descriptive.mp4

03:21

3. Working with Personas.mp4

03:19

4. Using Delimiters to Separate Parts of the Input.mp4

02:13

5. Specifying Steps to Complete a Task.mp4

02:17

6. Providing Examples for Better Output (Few-shot Prompting).mp4

02:11

7. Specifying Length and Other Explicit Constraints.mp4

03:20

3. Using Reference Text in Prompts

1. Providing Reference Text to the Model.mp4

03:01

2. Asking for Citations from a Reference Text.mp4

03:19

4. Breaking Tasks Into Smaller Parts

1. Decomposing Tasks and Using Intent Classification.mp4

07:47

2. Summarizing and Filtering Previous Dialogues.mp4

04:07

3. Summarizing Long Documents.mp4

05:29

5. Giving GPT Models Time to Think

1. Instructing a Model to Find Its Own Solution.mp4

02:56

2. Using Inner Monologue or a Sequence of Queries.mp4

02:36

3. Asking a Model if it Missed Anything.mp4

04:21

Description

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.

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Artificial Intelligence

Chris Behrens

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Pluralsight

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Pluralsight, LLC is an American privately held online education company that offers a variety of video training courses for software developers, IT administrators, and creative professionals through its website. Founded in 2004 by Aaron Skonnard, Keith Brown, Fritz Onion, and Bill Williams, the company has its headquarters in Farmington, Utah. As of July 2018, it uses more than 1,400 subject-matter experts as authors, and offers more than 7,000 courses in its catalog. Since first moving its courses online in 2007, the company has expanded, developing a full enterprise platform, and adding skills assessment modules.