Stage 5: Exploration of AI Application Scenarios

A comprehensive prompt engineering and generative AI learning platform, an authoritative free guide cited by OpenAI and Google.

PromptEngineeringGenerativeAILLMGitHubTextFreeEnglish

Learn Prompting Course Detailed Introduction

Project Overview

Learn Prompting is a comprehensive prompt engineering and generative AI learning platform created and maintained by Sander Schulhoff. The project released its first version in October 2022 (predating ChatGPT's release), making it one of the earliest prompt engineering guides.

Key Features

Authority and Influence

Cited by OpenAI, Google, Microsoft, Wikipedia, O'REILLY, Salesforce, and more
Used by most Fortune 500 companies and major consulting firms
Boasts the largest prompt engineering learning community

Core Content

Free Prompt Engineering Guide: A completely free and open-source comprehensive guide
15 Generative AI Courses: Helps develop cutting-edge AI skills
On-demand Workshops and Training: Customized training for individuals and businesses
HackAPrompt Competition: The largest AI red teaming competition in history

Learning Resources

Core Course Structure

Foundational Prompt Engineering
- Prompt writing and optimization: Learn to craft prompts for precise and relevant outputs
- LLM functional insights: Understand how large language models work
- Explore core principles of prompt engineering through interactive lessons and practical assignments
Advanced Prompt Techniques
- Zero-shot and Few-shot Prompting
- Chain of Thought Prompting
- Knowledge Generation Prompting
Practical Applications
- Content creation, productivity enhancement, and complex problem-solving
- Customizing and optimizing prompts for various AI models

Learning Mode

Self-paced Learning: 3 days of self-paced study, concise video lessons suitable for busy learners
Multimedia Content: Video content, interactive exercises, and quizzes
Certification: A certificate of completion shareable on LinkedIn or any platform

Technical and Research Achievements

Academic Research

"The Prompt Report": The most comprehensive study of prompt techniques to date
"Ignore This Title and HackAPrompt": Reveals systemic vulnerabilities in LLMs by analyzing over 600,000 adversarial prompts

Development Environment

The project uses a modern web technology stack:

Node.js (version 18.0.0 or higher)
Next.js framework
Visual Studio Code development environment
Git version control

# Clone the project
git clone https://github.com/trigaten/Learn_Prompting_nextjs.git

# Navigate to the project directory
cd Learn_Prompting_nextjs

# Install dependencies
npm install

# Run the development server
npm run dev

Community and Contributions

Community Support

Discord Community: The largest prompt engineering learning community
Multi-platform Presence: Twitter, LinkedIn, Newsletter, etc.
Corporate Training: Provided workshops for companies like OpenAI, Microsoft, Deloitte, Dropbox, etc.

Contribution Methods

Suggest new content ideas or improvements
Translate resources into other languages
Contribute artwork or additional resources
Help fix typos or improve clarity

Target Audience

Primary User Groups

Educators and Writers: Generate structured, AI-assisted content for teaching and creative work
AI Enthusiasts: Gain deep insights into how AI models respond to different inputs
Professionals: Industry practitioners looking to enhance their AI usage skills
Students and Researchers: Learners interested in AI and natural language processing

Access Methods

Free Resources

Free Prompt Engineering Guide
Open-source GitHub project
Free ChatGPT course

Paid Services

Learn Prompting Plus subscription
Access to 16 courses
Customized corporate training solutions

Citation Format

@software{Schulhoff_Learn_Prompting_2022,
author = {Schulhoff, Sander and Community Contributors},
month = dec,
title = {{Learn Prompting}},
url = {https://github.com/trigaten/Learn_Prompting},
year = {2022}
}