Practical AI for Instructors and Students Part 1: Introduction to AI for Teachers and Students

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Published 2023-07-31
In this introduction, Wharton Interactive's Faculty Director Ethan Mollick and Director of Pedagogy Lilach Mollick provide an overview of how large language models (LLMs) work and explain how this latest generation of models has impacted how we work and how we learn. They also discuss the different types of large language models referenced in their five-part crash course: OpenAI’s ChatGPT4, Microsoft’s Bing in Creative Mode, and Google’s Bard.

This video is Part 1 of a five-part course in which Wharton Interactive provides an overview of AI large language models for educators and students. They take a practical approach and explore how the models work, and how to work effectively with each model, weaving in your own expertise. They also show how to use AI to make teaching easier and more effective, with example prompts and guidelines, as well as how students can use AI to improve their learning.

Links to sources and prompts:
2:48 – “Attention is All You Need” arxiv.org/abs/1706.03762
4:00 – “What is ChatGPT Doing and Why Does It Work” writings.stephenwolfram.com/2023/02/what-is-chatgp…
5:49 – "Performance of ChatGPT on USMLE: Potential for AI-Assisted Medical Education Using Large": www.medrxiv.org/content/10.1101/2022.12.19.2228364… openai.com/research/gpt-4
6:38 – "Experimental Evidence on the Productivity Effects of Generative Artificial Intelligence": economics.mit.edu/sites/default/files/inline-files…
"How will Language Modelers like ChatGPT Affect Occupations and Industries?" papers.ssrn.com/sol3/papers.cfm?abstract_id=437526…

#GenerativeAI #ChatGPT #LLMs

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All Comments (21)
  • @sovorel-EDU
    Thank you Ethan and Lilach for a great video. I was thrilled to see that everything presented goes along well with everything I have been sharing on my YouTube Channel dealing with AI integration in education. AI Literacy is such an imperative that all of academia needs to work to better address it. This video will serve as a great resource to help with this issue.
  • @JohnnyOshika
    Wonderful, I look forward to the rest of the series!
  • @heatherbrown6836
    Way to go! This is EXACTLY what needs to be said and SHARED with faculty across the globe!
  • @zemmerjd
    One of the more concise and profound takes on the topic that I've come across. Thanks for putting this together.
  • @ocdetails
    This is exactly the sort of thing that teachers should be watching right now. Instead of recycling the same lesson plans they have been using for 15 years, it is time to look at how AI can make their job better, learning more engaging, and really developing their students into people prepared for the world they will join in the coming years. AI is more than a toy and people need to learn how to properly use it. The students are going to know more about this than their teachers and it is going to really put the teachers at a disadvantage.
  • @Santir3v3ng3
    Loved the links to the references made in the video, thanks for that!
  • @DrDanTeaches
    This video series is awesome. Could you put these Practical AI videos into a Playlist so they are easier to share?
  • @BrianBasgen
    A helpful video, thank you for doing this. One important correction for you to consider. The statement “They are essentially an auto-completion mechanism on steroids” is problematic. First, generative models feature an analytical component that is not just statistical probability, but instead is about understanding input, for example: summarizing a text effectively is not a probabilistic exercise. Second, there is a knowledge component thanks to training, for example when translating generative AI is able to access knowledge and context to translate more effectively than any previous software. The autocomplete example is more apropos to older, pre-Transformer models: the transformer enables a much richer interaction with the input that is multi-layered and deep. Finally, you correctly point out the risks of bias, which of course is not a function of autocompletion (e.g. the problem is not echo chamber bias): instead the bias in these models is a result of training which is distinct from input.
  • @karenzhou1083
    Very concise take on a complex topic. When will the next video be posted?
  • @MrKiranbindu
    With Chat GPT I have been able to create summarized notes on topics like IFRS to help my students develop level 1 understanding on this vast topic . I hope to do the same for US GAAP and Audit standards . N see how we go from there .
  • @ScottHislen
    When is the whole series available? Many thanks
  • Please consider limiting the background music and the constantly flashing images. It's hard to filter through all that audio-visual input just to hear. I tried muting it and reading captions, but the screen has too much information.
  • @zipporah2260
    Very helpful; however, as this AI stuff is new to me, I found that the Professors spoke too fast for me to absorb what they were saying. Had to reduce the speed to 0.75x. Slow down a bit please. Information is great!!!!