Prompt Engineering Best Practices

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Chris Behrens

1:24:41

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1. Course Overview

1. Course Overview.mp4

01:18

2. Introduction to Prompt Engineering

1. Introduction.mp4

01:23

2. What Is Prompt Engineering.mp4

05:01

3. Why Is Prompt Engineering Important.mp4

03:08

4. Evolution of Prompt Engineering in AI.mp4

03:14

3. Prompt Design Strategies

1. Introduction.mp4

01:47

2. Introduction to Prompt Design Strategies.mp4

02:33

3. Comparing Prompt Design Strategies.mp4

10:17

4. Tips for Effective Prompt Design.mp4

02:41

4. Prompting Methods

1. Introduction.mp4

01:04

2. Prompting by Instruction.mp4

05:38

3. Prompting by Example.mp4

05:39

4. Pros and Cons of Different Prompting Methods.mp4

05:23

5. Controlling Model Output with Prompts

1. Introduction.mp4

01:26

2. Basics of Output Control through Prompts.mp4

02:17

3. Techniques for Controlling Verbosity and Tone of the Output.mp4

09:01

6. Reducing Repetition in Outputs

1. Introduction.mp4

01:08

2. Understanding the Repetition Problem in AI Outputs.mp4

03:17

3. Strategies to Reduce Repetition.mp4

07:13

7. Designing Prompts for Different Tasks

1. Introduction.mp4

01:10

2. Customizing Prompts for Various Tasks.mp4

06:20

3. Importance of Task Specific Prompt Design.mp4

01:48

8. Conclusion

1. Conclusion.mp4

01:55

Description

This course will cover the craft of prompt engineering to elevate your AI capabilities. You'll gain expertise in designing effective prompts, managing model outputs, minimizing repetition, and enhancing model performance, without prior experience.

What You'll Learn?

AI models can sometimes struggle to produce the desired outputs. This course tackles this issue, equipping you with prompt engineering skills to better control and optimize AI model performance.

In this course, Prompt Engineering Best Practices, you’ll gain the ability to harness the power of well-structured prompts to optimize your AI model's performance.

First, you'll explore the fundamentals of prompt engineering and different prompt design strategies, understanding their significance in AI.

Next, you’ll discover various prompting methods, such as prompting by instruction and example, and learn how to control model output effectively using well-crafted prompts.

Finally, you’ll learn how to reduce repetition in model outputs, a common issue in AI-generated content, and delve into the concept of multi-prompt learning, a powerful technique to boost your AI model's performance.

When you’re finished with this course, you’ll have the skills and knowledge of prompt engineering needed to design effective prompts, optimize your AI model outputs, and significantly improve the performance of your AI applications.

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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.