Planned lesson
How LLMs Work: Tokens, Embeddings, Attention, and Transformers
Follow information through the core stages of a language model
A planned lesson connecting tokenization, embeddings, attention, transformer layers, and generated output into one coherent technical mental model.
Learning objectives
- Explain how text is transformed into tokens and vector representations.
- Describe the role of attention in relating information across a model's context.
- Trace a simplified inference path through transformer layers to generated tokens.
Educational notice
For educational purposes only. This lesson does not replace independent technical review, professional advice, or security evaluation.