Important courses, Wu Enda personally taught.

ChatGPT is here, everything is changing fast, and some technology companies are starting to recruit "prompt engineers". Unlike traditional computer engineers who write code, Prompt engineers test the system for irrational behavior or problems by asking the AI a series of logically rigorous questions. However, there has been no unified standard or systematic experience on how to do it.

Just now, Wu Enda officially announced a good news: he and OpenAI have produced a new course on ChatGPT Prompt Engineering, and the course is free.

Course link: https://www.deeplearning.ai/short-courses/chatgpt-prompt-engineering-for-developers/

Wu Enda said that there are too many materials on how to write prompts on the market. But for developers, how to call the large model API to build application software is more important, but there are few materials in this area. That's the value of their class.

The course is about one and a half hours long and aims to help developers:

• Learn the prompt engineering best practices needed for application development;
• Discover new ways to use LLM, including how to build your own custom chatbot;
• Gain hands-on experience writing and iterating prompts using the OpenAI API.

On a practical level, the course will demonstrate how the LLM API can be used in applications for a variety of tasks, including:

• Summaries (e.g. simplified summaries of user reviews)
• Inference (e.g. sentiment classification, topic extraction)
• Transforming text (e.g. translation, spelling and grammar correction)
• Extensions (e.g. auto-composing emails)

All concepts are illustrated with numerous examples, and developers can conduct interactive experiments directly in the Jupyter notebook environment to gain hands-on experience in prompt engineering.

This course is very beginner-friendly, requiring only a basic understanding of Python. It's also a good fit for advanced machine learning engineers who want to get in touch with Prompt Engineering and use LLM.

Andrew Ng said that so far, there has been relatively little material on best practices (compared to how to prompt a Web UI) for developers who want to use the API to access LLM to build applications. They are happy to make some changes.

Speaker introduction

Isa Fulford

Isa Fulford is a technical engineer at OpenAI. She received her bachelor's and master's degrees from Stanford University, worked in Amazon and other institutions, and will join OpenAI in November 2022.

Isa Fulford's education.

Isa Fulford's work experience.

Prior to OpenAI, she worked at a startup called Mem.ai that turned meeting minutes into useful and actionable information, which involved calls to OpenAI APIs. In the list of GPT-4 contributors listed by OpenAI, Isa Fulford appears in the "Launch partners & product operations" column.

Notably, Isa Fulford is the main contributor to the ChatGPT Retrieval Plugin. This plugin allows users to easily search and find personal or work documents in a question-and-answer manner, and has over 10,000 stars on GitHub. In addition, Isa Fulford has done a lot of work in teaching how to use LLM for production and is one of the main contributors to the OpenAI Cookbook (using examples and guidelines for the OpenAI API).

Project link: https://github.com/openai/chatgpt-retrieval-plugin

Project link: https://github.com/openai/openai-cookbook

Andrew Ng

Wu Enda is a visiting professor in the Department of Computer Science and Electrical Engineering at Stanford University, and was the director of the Stanford Artificial Intelligence Laboratory. Additionally, he is the founder of DeepLearning.AI, the founder and CEO of Landing AI, the general partner of AI Fund, and the chairman and co-founder of Coursera.

A pioneer in machine learning and online education, Dr. Andrew Ng has changed countless lives through his work in AI and has authored or co-authored more than 200 research papers in machine learning, robotics, and related fields. In 2013, he was included in Time Magazine's list of the 100 most influential people in the world.