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D-Lab's 1-hour introduction to prompt engineering with ChatGPT. Learn what prompt engineering is, best practices for prompting, and techniques to resolve errors.

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D-Lab Prompt Engineering Workshop

Open Slides License: CC BY 4.0

This repository contains the materials for D-Lab's Prompt Engineering workshop.

Prerequisites

No prior experience is required. Check D-Lab's Learning Pathways to figure out which of our workshops to take!

Workshop Goals

In this workshop, we provide an introduction to prompt engineering using ChatGPT. We will discuss several prompting techniques, and cover error strategies to resolve problems.

Learning Objectives

After this workshop, you will be able to:

  • Understand what prompt engineering is.
  • What techniques you can use to improve your prompts.
  • What error strategies you can use to resolve issues.

This workshop does not cover the following:

  • The technical foundations of GPT and LLMs. These are covered in GPT Fundamentals.

Resources

No installation is necessary. We will use the following resources:

About the UC Berkeley D-Lab

D-Lab works with Berkeley faculty, research staff, and students to advance data-intensive social science and humanities research. Our goal at D-Lab is to provide practical training, staff support, resources, and space to enable you to use R for your own research applications. Our services cater to all skill levels and no programming, statistical, or computer science backgrounds are necessary. We offer these services in the form of workshops, one-to-one consulting, and working groups that cover a variety of research topics, digital tools, and programming languages.

Visit the D-Lab homepage to learn more about us. You can view our calendar for upcoming events, learn about how to utilize our consulting and data services, and check out upcoming workshops.

Other D-Lab Workshops

Here are other LLM-related workshops offered by the D-Lab: GPT Fundamentals

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D-Lab's 1-hour introduction to prompt engineering with ChatGPT. Learn what prompt engineering is, best practices for prompting, and techniques to resolve errors.

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