A collection of links to AI resources

Author

Andreas Handel

Modified

2024-03-20

Overview

This unit consists mainly of a collection of links to AI resources that might be useful. I tried to group them into themes and provide a bit of commentary. The focus is on generative AI tools.

Learning Objectives

By the end of the unit, you should:

  • Be aware of a few places where you can learn more about AI.

Introduction

AI in general

  • One Useful Thing is a Substack blog by Ethan Mollick where he discusses ideas around (generative) AI from a very applied user perspective. You might find a lot of what he writes echoed in my writing, because that’s where I get a lot of my information from 😁.

  • Unconfuse Me is a podcast by Bill Gates that covers all kinds of topics, but has a few interesting AI-themed ones, namely (as of this writing) episodes 2 and 5.

  • DeepLearning.AI is a platform/company that offers a lot of teaching material related to AI. Some of the materials are free.

  • A really good (but non-free) book is Artificial Intelligence: A Guide for Thinking Humans. The author, Melanie Mitchell, also has an AI blog that is worth checking out.

  • This Coursera course gives a brief, non-technical introduction to current LLM AI tools (such as GPT).

Technical aspects of AI

  • The Deep Learning Chapter of HMLR provides a nice basic introduction.

  • The Statquest Youtube channel has multiple videos with nice explanations on various AI related topics, at times going fairly deep into the technical details, while still being rather easy to understand.

AI and R

AI and teaching

  • Wharton Interactive is an initiative by Ethan and Lilach Mollick and colleagues at Wharton that - among other things - looks at the use of AI for teaching and learning. The website contains some interesting ideas and links to papers that look further into AI use.

  • MIT has a nice collection of AI learning resources. The focus is on using those tools for teaching/learning.

AI and Coding