ChatGPT Prompt Engineering for Developers in Chinese
1.0.0
This project is mainly used to store unofficial Chinese and English subtitles on "ChatGPT Prompt Word Project for Developers".
If you find any translation errors, typos, wrong sentences, etc. during the video viewing process, please submit a Pull Request to us to improve the quality of subtitle translation.
Description of this project folder:
subtitles : core subtitles, with "Chinese and English bilingual subtitles" placed inside;english_subtitles : "English subtitles" separated from bilingual subtitles;chinese_subtitles : "Chinese subtitles" separated from bilingual subtitles;course_notebooks : Copy from the course to the local Notebook.Subtitle effect display:
It has been almost 5 months since ChatGPT was launched, but many people have not really mastered its usage skills.
In fact, the difficulty of ChatGPT lies in the writing of Prompt (prompt word). In February this year, the founder of OpenAI said on Twitter: "Being able to write Prompt to talk to chatbots is an amazing high-leverage skill."
Because since ChatGPT was released, how to write Prompt well has become a watershed. Those who are proficient in writing Prompt can quickly make ChatGPT understand the requirements and perform tasks well.
All the AI assistants, intelligent translations, and role-playing you see online are essentially achieved by writing Prompt.
As long as your Prompt is well-written, ChatGPT can help you quickly complete a lot of work, including writing crawler scripts, financial data analysis, copywriting polishing and translation, etc., and these tasks are also done better than ordinary people.
In order to help everyone better master the Prompt project, DeepLearning.ai founder Andy Wu and OpenAI developer Iza Fulford jointly launched a technical tutorial for developers: " ChatGPT Prompt Project ".
Teacher Ng I believe everyone has heard of it. As a heavyweight in the artificial intelligence industry, we can often see him active in the AI technology industry.
Another lecturer, Iza Fulford, may not be familiar with you, so I will introduce it here.
She is a top undergraduate student in Stanford. ChatGPT used to search for the document open source on GitHub: Retrieval , which was written by her.
In addition, she is also the editor of OpenAI Cookbook (official manual). If you have recently learned about GPT-related technologies, this manual should be familiar to you.
This manual provides a large number of GPT-related use cases, which can help you quickly get started and master the development and application of GPT models.
It can be said that the tutorials launched by these two bigwigs will definitely not be bad if they join forces. What is even more exciting is that this tutorial is completely open to the public and can be learned for free for everyone!
So, what is the main content in this tutorial?
The tutorial is divided into 9 chapters in total, with a total of more than an hour, mainly covering: best practices for prompt words, emotional classification of comments, text summary, email writing, text translation, quick build of a chatbot , etc.
You can find all the popular cases of ChatGPT in this tutorial, which is very comprehensive!
In addition to learning how to use Prompt in this tutorial, you can also learn about GPT interface call development knowledge. If necessary, you can even extend and expand on this tutorial to build an amazing application.
The tutorial has been officially launched on DeepLearning.ai. The official website provides interactive Notebooks, allowing you to learn while writing code while practicing.
However, this tutorial is only in English, so that students who cannot understand English can learn and master this technology as soon as possible.
I spent a day fully translating all English subtitles and uploading all videos with subtitles to B.
If you have time, you can learn this tutorial more. I believe that after learning the whole thing, you will definitely benefit a lot!
Check out the contribution list for more information, thanks to everyone who contributed to the project!
The project is released based on the CC BY-NC-SA 4.0 protocol.
