[OpenAI Official Tutorial] (prompt) Engineering open class
When talking about conversational AI, what is the first thing that comes to mind? It must be ChatGPT, right! But when it comes to the detailed content of ChatGPT, who else can say it? After all, AI similar to ChatGPT is called a language model. This is a natural language processing tool powered by AI technology. Allows users to have human-like conversations with chatbots and more. But since it is learning, we must not only understand these contents, we also need to be familiar with the logic and application of ChatGPT, explain the API in detail, common technologies and code implementation, etc...
But the core point is of course to disassemble ChatGPT to understand its content from every step, to understand ChatGPT, to be proficient in it, and to apply it in life! Later, it will be disassembled and differentiated to make its own "GPT"!
Since ChatGPT was launched, many people still have not mastered the skills of using it. In fact, the difficulty lies in the writing of the Prompt (prompt word).
In this one-hour class jointly launched by Wu Enda and Iza Fulford, a technical tutorial for developers: "ChatGPT Tips Project". You can learn here: best practices for prompt words, comment sentiment classification, text summary, email writing, text translation, quickly building a chatbot, and more.
Author ①: Andrew Ng
Chinese-American, is an associate professor in the Department of Computer Science and Electrical Engineering at Stanford University, and the director of the Artificial Intelligence Laboratory. He is one of the most authoritative scholars in the field of artificial intelligence and machine learning in the world. He is also the co-founder of the online education platform Coursera.
Author ②: Iza Fulford
A top student at Stanford, who made the document search plug-in of ChatGPT open source on GitHub: Retrieval. He is also the author of the OpenAI Cookbook (official cookbook).