Further AI resources

Overview

This unit consists of a collection of links to AI resources that might be useful. The focus is on generative, LLM AI tools.

Goals

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

Reading

Introduction

Below is a curated list of resources grouped by theme. Use them to go deeper on specific topics, or to find a few reliable sources to follow over time.

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. It is not modeling and data science focused, but still very useful general information and commentary, and very non-technical.
DeepLearning.AI is a platform/company that offers a lot of teaching material related to AI. Some of the materials are free. They also have a great weekly newsletter.
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 HOML 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.

Summary

This page provided a few additional resources for learning and staying up-to-date on AI topics.