Practical AI for Instructors and Students Part 2: Large Language Models (LLMs)

In this video, Wharton Interactive's Faculty Director Ethan Mollick and Director of Pedagogy Lilach Mollick do a deep dive into a variety of large language models (LLMs) and discuss how to work effectively with each model – with examples, prompts, and guidelines.

This video is Part 2 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:

#generativeai #LLMs #largelanguagemodels

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[SamirSELLAMI]

Nice and soft presentation of the main LLMs tools 👏, Thanks !

[artemedutech]

but there is also a definition of a foundation model when we talk about differences of finetuned models and foundational models. Why are LLMs called foundation models in the video?

[janhenriksen]

Hi - and thanks! Great intros. A question: If one ask, lets say chat gpt 3.5, to do paper, and the paper should contain Harward-format references: Can one trust the references produced? If not, how, if possible, can one use chat gpt 3.5 to get things right?

[NancyReuter-co]

Great content. Your talking hands are highly distracting

[doctordanacland]

It's killing me that they don't look at the camera.

[danielcunningham]

Throughout human history needs arise and poof! Humanity comes through with a solution. Human intelligence is falling/failing and now we have Artificial Intelligence to the rescue! At least Gen Z is good at something besides video games and passing the buck.