Vanderbilt University - Prompt Engineering for ChatGPT
- Offered byCoursera
Prompt Engineering for ChatGPT at Coursera Overview
Duration | 18 hours |
Start from | Start Now |
Total fee | Free |
Mode of learning | Online |
Difficulty level | Beginner |
Official Website | Explore Free Course  |
Credential | Certificate |
Prompt Engineering for ChatGPT at Coursera Highlights
- Flexible deadlines Reset deadlines in accordance to your schedule.
- Shareable Certificate Earn a Certificate upon completion
- 100% online Start instantly and learn at your own schedule.
- Coursera Labs Includes hands on learning projects. Learn more about Coursera Labs External Link
- Beginner Level Anyone can take the course and the only required knowledge is basic computer usage skills, such as using a browser and accessing ChatGPT.
- Approx. 18 hours to complete
- English Subtitles: English
Prompt Engineering for ChatGPT at Coursera Course details
- ChatGPT and other large language models are going to be more important in your life and business than your smartphone, if you use them right. ChatGPT can tutor your child in math, generate a meal plan and recipes, write software applications for your business, help you improve your personal cybersecurity, and that is just in the first hour that you use it. This course will teach you how to be an expert user of these generative AI tools. The course will show amazing examples of how you can tap into these generative AI tools' emergent intelligence and reasoning, how you can use them to be more productive day to day, and give you insight into how they work.
- Large language models respond to instructions and questions posed by users in natural language statements, known as prompt. Although large language models will disrupt many fields, most users lack the skills to write effective prompts. Expert users, who understand how to write good prompts, are orders of magnitude more productive and can unlock significantly more creative uses for these tools.
- This course introduces students to the patterns and approaches for writing effective prompts for large language models. Anyone can take the course and the only required knowledge is basic computer usage skills, such as using a browser and accessing ChatGPT. Students will start with basic prompts and build towards writing sophisticated prompts to solve problems in any domain. By the end of the course, students will have strong prompt engineering skills and be capable of using large language models for a wide range of tasks in their job, business, personal life, and education, such as writing, summarization, game play, planning, simulation, and programming.
Prompt Engineering for ChatGPT at Coursera Curriculum
Course Introduction
Motivating Example: Building a Meal Plan with a Fusion of Food from Ethiopia and Uzbekistan that is Keto
Overview of the Course
Motivating Example: Act as a Speech Pathologist
Setting Up an Account and Using ChatGPT
What are Large Language Models?
Randomness in Output
Introduction to Prompts
What is a Prompt?
Intuition Behind Prompts
Everyone Can Program with Prompts
Prompt Patterns
The Persona Pattern
Introducing New Information to the Large Language Model
Prompt Size Limitations
Prompts are a Tool for Repeated Use
Root Prompts
Reading a Prompt Pattern
Format of the Persona Pattern
Learn More About Prompt Patterns
Prompt Patterns I
Question Refinement Pattern
Cognitive Verifier Pattern
Audience Persona Pattern
Flipped Interaction Pattern
Format of the Question Refinement Pattern
Format of the Cognitive Verifier Pattern
Format of the Audience Persona Pattern
Format of the Flipped Interaction Pattern
Few-Shot Examples
Few-shot Examples
Few-shot Examples for Actions
Few-Shot Examples with Intermediate Steps
Writing Effective Few-Shot Examples
Chain of Thought Prompting
ReAct Prompting
Using Large Language Models to Grade Each Other
Learn More About Chain of Thought Prompting
Learn More About ReAct
Prompt Patterns II
Game Play Pattern
Template Pattern
Meta Language Creation Pattern
Recipe Pattern
Alternative Approaches Pattern
Format of the Game Play Pattern
Format of the Template Pattern
Format of the Meta Language Creation Pattern
Format of the Recipe Pattern
Format of the Alternative Approaches Pattern
Prompt Patterns III
Ask for Input Pattern
Combining Patterns
Outline Expansion Pattern
Menu Actions Pattern
Fact Check List Pattern
Tail Generation Pattern
Semantic Filter Pattern
Course Conclusion & Thank You
Format of the Ask for Input Pattern
Format of the Outline Expansion Pattern
Format of the Menu Actions Pattern
Format of the Fact Check List Pattern
Tail Generation Pattern
Format of the Semantic Filter Pattern
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Prompt Engineering for ChatGPT at Coursera Admission Process
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