introduce:
ChatGPT Prompt Engineering Learning Notesfor Developers (ChatGPT Prompt Engineering Learning Notes for Developers)
The course provides a brief introduction to how language models work, provides hints on best engineering practices, and shows how the language model API can be used in applications for a variety of tasks. In addition, the course provides Jupyter Notebook code examples, and you can directly use the API Key provided by OpenAI to obtain the results, so you can experience it without an account.
In ChatGPT Prompt Engineering for Developers, learn how to use large language models (LLMs) to quickly build powerful new applications. Using the OpenAI API, you will be able to rapidly build capabilities to learn to innovate and create value that were previously costly, technical, or simply impossible.
This short course, taught by Isa Fulford (OpenAI) and Andrew Ng (DeepLearning.AI), will describe how LLM works, provide best practices for instant engineering, and show how the LLM API can be used in applications for a variety of tasks, including:
- Summary (e.g. summarizing user reviews for brevity)
- Inference (e.g. sentiment classification, topic extraction)
- Transforming text (for example, translation, spelling and grammar corrections)
- Extensions (e.g. auto-composing emails)
In this course, you will learn two key principles of writing effective prompts, how to systematically design good prompts, and learn to build custom chatbots.
All concepts are illustrated with extensive examples that can be used directly in the official Jupyter notebook environment for instant engineering hands-on experience.
Course Chapters:
- Course Introduction
- Prompt engineering key principles (Guidelines)
- Prompt that the project needs iteration (Iterative)
- Summarizing
- Reasoning applications (Inferring)
- Transforming applications (Transforming)
- Expanding applications (Expanding)
- Build a chatbot (Chatbot)
- Course Summary
This project is a collection of study notes for the ChatGPT Prompt Engineering for Developers course
Notes read online:
Online reading -> https://islinxu.github.io/prompt-engineering-note/
Wu Enda - Prompt Word Engineering
https://islinxu.github.io/prompt-engineering-note Note resources