Skip to main content
AI EducademyAIEducademy
🌳

AI Foundations

🌱
AI Seeds

AI literacy for the real world

🌿
AI Sprouts

The foundations behind intelligent systems

🌳
AI Branches

Build with today’s AI capabilities

🏕️
AI Canopy

Engineer reliable GenAI systems

🌲
AI Forest

Ship AI products responsibly

🔨

AI Mastery

✏️
AI Sketch

Engineering foundations for AI builders

🪨
AI Chisel

Patterns for solving harder problems

⚒️
AI Craft

Design systems that scale AI

💎
AI Polish

Communicate and lead in the AI era

🏆
AI Masterpiece

Your production AI capstone

🚀

Career Ready

🚀
Interview Launchpad

Navigate the AI engineering job market

🌟
Behavioral Mastery

Tell the story of how you create impact

💻
Technical Interviews

Solve, design, and communicate under pressure

🤖
AI & ML Interviews

Prepare for modern ML and GenAI interviews

🏆
Offer & Beyond

Make a confident, informed next move

View All Programs→

Lab

7 experiments loaded
🧠Neural Network Playground🤖AI or Human?💬Prompt Lab🎨Image Generator😊Sentiment Analyzer💡Chatbot Builder⚖️Ethics Simulator
🎯Mock InterviewEnter the Lab→
JourneyBlog
🎯
About

Making AI education accessible to everyone, everywhere

❓
FAQ

Common questions answered

🧰
AI Tools

Curated tools we use and recommend

✉️
Contact

Get in touch with us

⭐
Open Source

Built in public on GitHub

Pricing
Get Started
AI EducademyAIEducademy

© 2026 AI Educademy. All rights reserved.

Learn

  • Academies
  • Lessons
  • Lab
  • AI Starter Kit
  • Pricing

Community

  • GitHub
  • Contribute
  • Code of Conduct
  • About
  • FAQ

Support

  • Buy Me a Coffee ☕
  • Terms of Service
  • Privacy Policy
  • Contact
  • Sitemap
AI & Engineering Academics›🌿 AI Sprouts›Lessons›Understanding Large Language Models
🔤
AI Sprouts • Intermediate⏱️ 15 min read

Understanding Large Language Models

Public lesson preview

How GPT, Claude and other LLMs work under the hood

Programme
AI Sprouts
Level
Intermediate
Reading time
15 min read

Learning objectives

By the end of this lesson, you will understand:

  • ✓🔡 First: What's a Token?
  • ✓🎯 The Core Task: Predicting What Comes Next
  • ✓🔄 The Transformer Architecture
  • ✓👁️ Attention: How the Model Focuses
  • ✓📏 Context Window: How Much Can It Remember?

Lesson outline

  1. 🔡 First: What's a Token?
  2. 🎯 The Core Task: Predicting What Comes Next
  3. 🔄 The Transformer Architecture
  4. 👁️ Attention: How the Model Focuses
  5. Multi-Head Attention
  6. 📏 Context Window: How Much Can It Remember?
  7. 🏋️ Training: Scale is Everything
  8. Emergent Abilities: The Surprise
  9. 🎛️ From Prediction Machine to Helpful Assistant
  10. 🔬 What LLMs Can and Can't Do

Introductory preview

ChatGPT, Claude, Gemini, Llama — they're everywhere. But what are these things actually doing when they respond to your messages? The answer is both simpler and more mind-bending than you might expect. At their core, Large Language Models (LLMs) are doing one thing: predicting the next token . Over and over again. That's it. And yet from this simple process emerges the ability to write code, explain quantum physics, compose poetry, and hold surprisingly coherent conversations. Let's unpack how. ---

Continue Understanding Large Language Models with Pro

Understanding Large Language Models is part of AI Sprouts

Understanding Large Language Models is part of AI Sprouts. Upgrade to unlock the full lesson, quizzes, progress tracking, and every academy.

All programs & tracks
Progress sync
Certificates
Try Pro free for 7 daysSign in first

Free for 7 days. Cancel anytime, no questions asked.