🤖 AI Demystified
Series · Part 0 of 21
Grounding5 Mental Models You Need Before Diving Into AI
Before you learn how AI works, learn how to think about it. These five mental models will save you hours of confusion.
Before learning how AI works, you need to see how it actually behaves. Five diagrams. No long explanations.
Every confusion in AI — “why is it confidently wrong?”, “why can’t it count letters?”, “why did it forget what I said?” — traces back to one of these five. Keep them in mind as you go through the series.
Next up: What actually happens when you send a message — from your keypress to the model’s first word.
AI Demystified · 16 of 21 published
- 0 Grounding 5 Mental Models You Need Before Diving Into AI
- 1 Foundation What Happens When You Ask AI Something?
- 2 Foundation Transformers — The Architecture That Changed Everything
- 3 Foundation How AI Learns, Thinks, and Decides
- 4 Foundation How AI Reads Your Words
- 5 Foundation Why AI Forgets
- 6 Foundation Why AI Lies (And Doesn't Know It)
- 7 Foundation What AI Cannot Do
- 8 Foundation How AI Reasons (And Why It Sometimes Breaks)
- 9 Practice Prompt Engineering — How to Talk to AI
- 10 Practice Embeddings & Vector Databases — The Memory Layer of AI
- 11 Practice RAG Explained — How AI Knows What You Didn't Train It On
- 12 Practice Fine-tuning vs. Prompting — When to Use Which
- 13 Practice Do You Really Need GPT-4?
- 14 Practice Latency, Tokens, and Cost — The Physics of AI Products
- 15 Practice How Do You Know AI Is Actually Working?
- 16 Hands-On Coding Setup — Your AI Development Environment soon
- 17 Hands-On MCP Tool Calling — How AI Uses Tools soon
- 18 Hands-On AI Agents — Beyond Chatbots soon
- 19 Hands-On Build Your First Real AI App soon
- 20 Hands-On Token Optimization — Spend Less, Get More soon
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