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Generative AI & Prompt Engineering

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Workshop Agenda

Welcome to our workshop on generative AI and Prompt Engineering for academic research and education.

Generative AI are now deeply integrated into how we work, conduct research, teach, and learn. This workshop will introduce basic skills to effectively utilize these powerful tools, focusing on the art of crafting "prompts" — the instructions that guide AI models — and exploring how to integrate AI into daily productivity.

Learning Objectives

After this workshop, you should be able to:

  • Identify how the workplace and classroom are being impacted by AI.
  • Create effective prompts for leading AI models like Gemini, ChatGPT, Copilot, Claude, and others.
  • Decide when to integrate AI into your own life and work.

Setup

Prerequisites

We will be using Professional paid versions of GPTs for this workshop.

If your department does not provide you with a subscription to a major GPT, or you cannot afford to purchase a monthly subscription, please contact the organizers for details about getting a demo account for the workshop.

AI Landscape

An examination of the generative AI landscape, as of today.

Includes an overview of Large Language Models within the greater AI ecosystem, ethics of AI, and future directions.

Ethics of AI

An overview of the history of AI, ethical concerns, and international declarations and principles on AI.

Prompt Engineering

Next, we will cover the basics of Prompt Engineering for daily productivity, as well as in academic teaching and research

General Productivity

Go to our lesson on Daily Productivity with AI

Generative AI is transforming everyday tasks. Learn how to leverage AI tools to streamline your workflows, enhance your writing, automate tasks, and boost your overall productivity. This section will likely cover:

  • AI-Powered Writing Assistants: Tools integrated into word processors, email clients, and other applications.
  • Smart Summarization and Note-Taking: Using AI to quickly digest information and generate concise summaries.
  • Automated Task Management: Leveraging AI to schedule meetings, set reminders, and manage projects.

Education

We will discuss strategies for integrating AI into your teaching style, AI use in the classroom, and providing students with the ability to learn from AI as virtual tutors and teaching assistants.

Education

AI in the Classroom

Ethics of AI in Education

Explore the transformative potential of AI in education. Learn how to use AI to:

  • Personalize Learning: Create customized learning experiences for students.
  • Generate Educational Content: Develop lesson plans, quizzes, and interactive learning materials.
  • Provide Intelligent Tutoring: Offer students personalized support and feedback.
  • Enhance Accessibility: Make learning more inclusive for all students.

Research

We will briefly touch on the applications of AI for scientific research, primarily through the use of code interpreters and code execution using commercial software.

A future workshop on advanced uses of AI for scientific research will cover the creation and deployment of AI for science gateways and integration of custom, private, GPTs and LLMs for private and secure applications.

Research

Go to our lesson on AI in Research

Discover how generative AI is accelerating research across disciplines. This section will cover topics such as:

  • Literature Review and Synthesis: Using AI to quickly analyze and summarize research papers.
  • Data Analysis and Exploration: Leveraging AI to identify patterns and insights in complex datasets.
  • Writing: Utilizing AI to assist in crafting compelling grant proposals.
  • Code Interpreter and execution: Using AI tools like GitHub Copilot to streamline the coding process.