generative AI101

The Basics

Watch the video "Part 1: Introduction to AI for Teachers" by Wharton Interactive's Faculty Director Ethan Mollick and Director of Pedagogy Lilach Mollick for an overview of how LLMs function and how this generation of models impacts how we work and learn.

Working with LLMs

Watch "Part 2: Large Language Models" to see how to effectively work with each model (such as ChatGPT, Bing, Bard, and Claude).

Prompt Engineering

Prompt engineering is the art of feeding a large language model in such a way as to get the desired results. Part 3: Prompting AI shows how to effectively prompt (and refine) the results.

Teaching Assistants

There are many applications to reduce instructor workload/burnout and increase efficiency, with tools to draft lessons, give student feedback, make materials relevant to our student demographics, and MORE! Watch Part 4: AI for Teachers to learn how you can use AI tools. Once you feel comfortable with tools, you can see how to integrate AI into your instruction.

AI As A Tool

Part 5: AI for Students helps us begin communicating with students about the ethical use of AI, its drawbacks (including bias and data sources), and AI Literacy.

Large Language Model Tutorial - AI Pedagogy Project

"This is a brief introduction on how to use ChatGPT, a product created by OpenAI that is driven by a large language model...We are using ChatGPT as an example, but the following information applies to other large language models, such as those developed by Microsoft, Meta, Google, Anthropic, and others. This is not an endorsement of ChatGPT over the others. Future tutorials will cover image generation, code, and more.

We’ll cover essential dos and don’ts, debunk common myths, and help get you prepared to use large language models on your own. Let’s go!"

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