How LLMs think in tokens
Develop a practical mental model for what language models are good at and where they fail.
Topics covered
- LLMs vs search engines and traditional software
- Tokens, context windows, and model memory
- Temperature, system prompts, and instruction hierarchy
- Hallucinations and verification habits
Hands-on lab
Compare several prompts and inspect how small context changes affect the output.