PluralSight – Prompt Engineering Best Practices

PluralSight – Prompt Engineering Best Practices
English | Tutorial | Size: 163.87 MB

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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