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Welcome to the Prompt Engineering course tutorial for Chat GPT!
In this tutorial, we will delve into the fascinating world of prompt engineering, focusing on prompt engineering frameworks and seven practical techniques. Prompt engineering is the process of designing and refining prompts to improve the output quality and specificity of language models like Chat GPT.
Throughout this course, we will explore various prompt engineering frameworks that enable us to fine-tune and optimize the model's responses. These frameworks provide us with a systematic approach to construct prompts that yield desired results.
Additionally, we will discuss seven practical techniques of prompt engineering. These techniques are powerful tools that empower us to guide the model's behavior and generate more accurate and contextually appropriate responses. By implementing these techniques effectively, we can enhance the conversational capabilities of Chat GPT and tailor its output to specific use cases.
By the end of this tutorial, you will have a comprehensive understanding of prompt engineering frameworks and these practical techniques. You will be equipped with the knowledge and skills necessary to optimize Chat GPT's responses and create more engaging and personalized conversational experiences.
Let's embark on this journey of prompt engineering and unlock the full potential of Chat GPT!
Timecode:
00:00 Introduction
1:39 Large Language Model
2:44 What is Chat GPT
6:09 What is Prompt Engineering
6:45 Prompt Engineering Framework
15:00 7 Practical Prompting Techniques
15:31 Example Prompting
17:30 Step-by-Step Prompting Techniques
19:54 Tabular Prompting Techniques
21:47 Ask Before Ask Prompting
23:37 Fill in the Blank Prompting
24:20 Act As Prompting
26:20 Constructive Critic Prompting
28:10 Ending
