Large Language
Models

Cue column, main notes, and summary strip. Built-in self-quiz with hide/reveal for active recall.

Hierarchical indented structure. Main topics, sub-topics, and details nested for clear logical hierarchy.

Central idea radiating outward with branches. Visualizes relationships across the entire LLM landscape.

Information in rows and columns. Side-by-side comparison of major LLMs across key attributes.

One idea per numbered line. Rapid capture of discrete facts about the history and mechanics of LLMs.

Related notes grouped into distinct visual boxes. Use cases organized by domain with clear spatial separation.

Atomic cards, one idea each. IDs, cross-links, and tags build a personal knowledge graph of LLM concepts.

Free-form, connected ideas with arrows. Traces a prompt through the full LLM inference pipeline organically.

Survey → Question → Read → Recite → Review. A reading-comprehension deep dive into the art of prompting.

Rapid logging with symbols. A developer's journal through concepts, tasks, and observations when building LLM apps.