Introduction To AI
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  Sep 17
1: Introduction

Chapter 1 - Course Introduction
1 - Course Introduction
2. What is AI?

Chapter 2 - What Is AI?
2 - Part 1 : What is AI?
2 - Part 2 : How To Test For AI
2 - Part 3 : Ok, So What is AI?
3. Why Now?

Chapter 3 - Why Now?
3 - Part 1 : Why Now? - Introduction
3 - Part 2 : Advances In AI
3 - Part 3 : Further Reasons
4. AI for playing Games

Chapter 4 - AI for Playing Games
4 - Part 1 : AI for Games - Introduction
4 - Part 2 : Introducing Game Trees
4 - Part 3 : Playing an Opponent
4 - Part 4 : Getting smarter with search
4 - Part 5 : Self-Play and MonteCarlo Search
5. Natural Language Processing

Chapter 5 - Natural Language Processing (NLP)
5 - Part 1 : NLP - Introduction
5 - Part 2 : Representing Words and your first Machine Learning algorithm
5 - Part 3 : What are Embeddings?
5 - Part 4 : Generating Text
6. Neural Networks

Chapter 6 - Neural Networks
6 - Part 1 : Introduction and Perceptrons
6 - Part 2 : Training a Perceptron
6 - Part 3 : Linking Neurons - Building Larger Networks
6 - Part 4: Long Short-Term Memory Networks
7. Reinforcement Learning

Chapter 7 - Reinforcement Learning
7 - Part 1 : Reinforcement Learning - Introduction
7 - Part 2 : Q-Learning - Escaping Mazes!
7 - Part 3 : Beyond Mazes
8. Large Language Models and ChatGPT

Chapter 8 - Large Language Models and ChatGPT
8 - Part 1 : Introduction and Transformer Model Encoders
8 - Part 2 : Decoders and Large Language Models
9. Getting more out of Large Language Models and AI applications

Chapter 9 - Getting more out of LLMs: Grounding, Tools, Agents, and Prompting strategies
9 - Part 1 : Getting more out of LLMs
9 - Part 2 : Demystifying LLM tooling, RAG, MCP, and Agents
10. Computer Vision and Image Generation

Chapter 10 - Computer Vision and Image Generation
10 - Part 1 : How AI understands images
10 - Part 2 : Learning Image Features
10 - Part 3 : How to generate images and videos
11. A World with AI - AI in Society and Business

Chapter 11 - A world with AI: AI in Society and Business
11 - Part 1 : A world with AI - Introduction
11- Part 2 : AI in business in context
11 - Part 3 : Role Evolution and Business Adoption
12. AI Risks and Regulation

Chapter 12 - Risks and Regulation.pdf
12 - Part 1 : Framing the risks
12- Part 2 : Red Teaming, Regulation and the AI opportunity
13. Course Summary

Course Summary
Course Summary

5 - Part 1 : NLP - Introduction

In this introduction we talk about representing words.

I also introduce binary notation -- don't be scared! and it's not essential you remember or understand it -- but it is a very useful way to bring home just how different a word is to us, where it carries real meaning and a word as it is represented in a computer.

Illustrating this point really brings home just how much work AI algorithms have to do in order to process, use, and generate the type of language we deal with everyday and take for granted.

I'd definitely recommend a screen for this and all the videos in this chapter.