Course
LLM Foundations
How large language models turn text into tokens, attention, and predictions.
L2 · IntermediateFast-movingKnown~2 h
What you’ll learn
- Explain tokenization and why models read tokens, not characters
- Describe what embeddings represent
- Give an intuition for attention
- Explain next-token prediction and how sampling controls output
Prerequisites
ai-foundations
Module 1. From Text to Tokens
How language becomes numbers a model can process.
Module 2. How LLMs Work
Attention, prediction, and controlling the output.