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OpenAI Prompt Engineering for Improved Performance

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Duration

41m

level

Intermediate

Course Creator

Tim Warner

Last Updated

20-Oct-23

This course teaches you how to use proven prompt engineering techniques to obtain better results from ChatGPT to maximize application performance.

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The concept of “prompt engineering” simply refers to improving your ChatGPT input to obtain a more focused and desired output. In this course, OpenAI Prompt Engineering for Improved Performance, you’ll learn how to leverage industry-proven prompt engineering techniques to master prompting the OpenAI APIs with maximum performance. First, you’ll learn the basics of GPT and prompt engineering. Next, you’ll practice using your new prompt engineering techniques to generate text, source code, data, and images without sacrificing efficiency. When you’re finished with this course, you’ll have the skills and knowledge of GPT prompt engineering needed to streamline your applications and improve your effectiveness as a working software developer.
Author Name: Tim Warner
Author Description:
Timothy Warner is a Microsoft Most Valuable Professional (MVP) in Cloud and Datacenter Management who is based in Nashville, TN. His professional specialties include Microsoft Azure, cross-platform PowerShell, and all things Windows Server-related. You can reach Tim via Twitter (@TechTrainerTim), LinkedIn or his blog, AzureDepot.com.

Table of Contents

  • Course Overview
    1min
  • Optimize GPT Prompt Performance
    39mins

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OpenAI Prompt Engineering for Improved Performance
OpenAI Prompt Engineering for Improved Performance
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