Learn to use AI

# How models work

How models work is a unit of 7 lessons in Rabbithole's Learn to use AI course, at levels 1 to 2.

## Lessons

1. Machine learning: computers that learn from data · Level 1
2. Supervised learning: learning from labeled examples · Level 2
3. Unsupervised learning: learning without labels · Level 2
4. Neural network · Level 1
5. Deep learning, in plain words · Level 1
6. Embeddings: turning words into numbers · Level 1
7. When a model only memorises · Level 2

## Sources

These lessons draw on 12 sources. The most used:

- [MIT 6.S191: Introduction to Deep Learning](https://www.youtube.com/playlist?list=PLtBw6njQRU-rwp5__7C0oIVt26ZgjG9NI)
- [Stanford CS224N: Natural Language Processing with Deep Learning, Spring 2024](https://www.youtube.com/playlist?list=PLoROMvodv4rOaMFbaqxPDoLWjDaRAdP9D)
- [MIT 6.S191: Introduction to Deep Learning (2026)](https://www.youtube.com/playlist?list=PLkkuNyzb8LmxFutYuPA7B4oiMn6cjD6Rs)
- [Machine Learning Crash Course](https://developers.google.com/machine-learning/crash-course)
- [Microsoft Learn — AI Fluency learning path](https://learn.microsoft.com/en-us/training/paths/ai-fluency/)
- [Adversarial Machine Learning: A Taxonomy and Terminology of Attacks and Mitigations (NIST AI 100-2 E2025)](https://nvlpubs.nist.gov/nistpubs/ai/NIST.AI.100-2e2025.pdf)
- [Deep Learning](https://www.deeplearningbook.org/)
- [Lil'Log](https://lilianweng.github.io/)

[All units in Learn to use AI](https://rabbithole.pro/courses/learn-ai)

Source page: https://rabbithole.pro/courses/learn-ai/how-models-work