This project is mainly used to store notebooks and notes for Ng's "ChatGPT Prompt Engineering for Developers".
If you find any questions or contribute information, please feel free to submit a Pull Request to us.
Description of this project folder:
images : pictures, pictures used in this project;notebooks-en : Copy to local English Notebook from the course;notebooks-zh : Copy to local Chinese Notebook from the course;notes : Notes, including mind maps. The "ChatGPT Prompt Engineering for Developers" course in Ng, mainly provides guidance to developers how to build Prompt and build new LLM-based applications based on the OpenAI API, including:
Principles for writing Prompt; text summary (such as summarizing user comments); text inference (such as emotional classification, topic extraction); text conversion (such as translation, automatic error correction); extension (such as writing email);
LLM is gradually changing people's lives. For developers, how to quickly and conveniently develop applications with stronger capabilities and integrated LLM based on the API provided by LLM to easily realize some newer and more practical capabilities is an important ability that urgently needs to be learned. The "ChatGPT Prompt Engineering for Developers" tutorial jointly launched by Mr. Ng and OpenAI is aimed at developers of introductory LLM. It introduces in an easy-to-understand manner how to construct Prompt and implement various common functions based on the API provided by OpenAI, including summary, inference, conversion and other common functions. It is a classic tutorial for introductory LLM development. Therefore, we translated the course into Chinese and reproduced its sample code to support direct use by Chinese learners in China to help Chinese learners better learn LLM development.
Suitable for all developers who have basic Python capabilities and want to get started with LLM.
"ChatGPT Prompt Engineering for Developers" is an official tutorial jointly launched by Mr. Ng and OpenAI. It will become an important introductory tutorial for LLM in the foreseeable future. However, it currently only supports the English version and is restricted in domestic access. It is of great significance to create a Chinese version and smooth access in China.
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