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The course

What Has Hokkien Mee Got to Do With AI?

There are 21 short lessons in 8 servings, about an hour in all. You can start at the beginning, or pull up a stool anywhere, because nothing here needs an account.

Your 21 plates

There is 1 dot per lesson, and a yellow dot means you finished it. Your progress is saved on this device only.

Serving 1

The Kitchen Before Dawn

3 lessons · 10 minutes

foundations

  1. 1.1 Pull Up a Stool: What Has Hokkien Mee Got to Do With AI? What AI is and is not (rules versus learning) 3.5 min
  2. 1.2 The Ingredient Is Called Data Data as the raw material (structured versus unstructured, good versus bad) 3 min
  3. 1.3 Market to Plate: The Whole Pipeline The machine learning pipeline (seven steps from problem to plate) 3.5 min

Serving 2

The Three Things Machines Learn

3 lessons · 7.5 minutes

classical machine learning

  1. 2.1 Sorting the Prawns: Fresh or Spoiled? Classification (supervised learning) 2.5 min
  2. 2.2 How Many Plates on a Rainy Friday? Regression (supervised learning) 2.5 min
  3. 2.3 No Labels, Just Patterns Clustering (unsupervised learning) 2.5 min

Serving 3

The Chef With a Thousand Eyes

2 lessons · 6 minutes

deep learning and perception

  1. 3.1 Many Cooks, One Wok Neural networks and deep learning 3 min
  2. 3.2 How a Stall Sees and Listens Computer vision and speech recognition 3 min

Serving 4

The Chef Who Invents New Dishes

3 lessons · 9.5 minutes

generative AI and LLMs

  1. 4.1 From Predicting to Creating Generative AI and large language models (next-word prediction, attention) 3.5 min
  2. 4.2 Talking to the Chef, and Facts at the Stall Prompting and retrieval-augmented generation (RAG) 3 min
  3. 4.3 Culinary School, the Open Kitchen, and the Menu That Changes Pre-training vs fine-tuning; open weights vs open source vs closed; model drift 3 min

Serving 5

The Stall That Thinks for Itself

3 lessons · 9.5 minutes

AI agents

  1. 5.1 Learning by Reward Reinforcement learning 3 min
  2. 5.2 The Chef Who Runs the Whole Service What an AI agent is (goal, plan, tools, memory, self-check) 3.5 min
  3. 5.3 Many Cooks, and When to Trust Them Multi-agent systems, guardrails, and human-in-the-loop 3 min

Serving 6

When AI Gets a Body

3 lessons · 10.5 minutes

embodied AI and robots

  1. 6.1 A Brain With No Body, and Its Five Senses Embodied AI versus software AI; robot sensors and perception 3 min
  2. 6.2 Hands, Arms and the Wok-Hei Problem Actuators and Moravec's paradox 4 min
  3. 6.3 The Robot Hawker Stall and Real Robots Today The sense-think-act loop, digital twins and sim-to-real, and the honest state of real robots 3.5 min

Serving 7

The Stall You Can Trust

2 lessons · 6.5 minutes

AI ethics and governance

  1. 7.1 The Stallkeeper's Promise AI ethics; consent, honesty, and the standard you keep when nobody checks 3 min
  2. 7.2 The Grade Card on the Wall AI governance; audits, records, risk levels, and keeping a human in charge 3.5 min

Serving 8

The Wise Regular

2 lessons · 7 minutes

limits, meaning, and living with AI

  1. 8.1 When the Chef Gets It Wrong Hallucination, bias, and the barrier of meaning 3.5 min
  2. 8.2 Pull Up a Stool, One Last Time Integration, the near future, and media literacy 3.5 min