This repository provides Chinese and English versions of Andrew Ng's "ChatGPT Prompt Engineering for Developers" course, including notebooks and notes. It aims to help developers quickly learn how to build LLM-powered applications using OpenAI APIs by mastering prompt engineering techniques.

How It Works

The course focuses on practical prompt construction for various tasks like text summarization, inference, and transformation. It guides developers through using OpenAI's API to integrate these capabilities into applications, emphasizing principles for effective prompt writing.

Quick Start & Requirements

• Install: Clone the repository and follow instructions within the notebooks.
• Prerequisites: Basic Python knowledge. Access to OpenAI API is implied for running examples.
• Resources: Notebooks and notes are provided; running code requires an OpenAI API key and associated costs.
• Links:
  • Chinese Video: 面向开发者的 ChatGPT 提示词工程
  • English Original: ChatGPT Prompt Engineering for Developers

Highlighted Details

• Official course materials from Andrew Ng and OpenAI.
• Translated and localized for Chinese developers with restricted access to original content.
• Covers core LLM application development tasks: summarization, inference, transformation, and expansion.
• Includes mind maps and supplementary notes.

Maintenance & Community

• Core contributor: Kevin.
• Mentions related projects: datawhalechina/prompt-engineering-for-developers, GitHubDaily/ChatGPT-Prompt-Engineering-for-Developers-in-Chinese, ZhangHanDong/rustchat.
• WeChat public account "Kevin的学堂" for updates.

Licensing & Compatibility

• License: Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0).
• Restrictions: Non-commercial use and requires sharing under the same license. Not suitable for integration into proprietary, closed-source commercial applications without adherence to the license terms.

Limitations & Caveats

The CC BY-NC-SA 4.0 license restricts commercial use, which may limit adoption for businesses seeking to build proprietary LLM applications based on this course material.