LLM Fundamentals
Understand how large language models work, what they can do, and how to use them effectively.
Start with the signal.
See what this resource is, where it belongs, and why it is useful before you start reading.
Understand the system.
Move from the headline into the useful detail. The reference becomes valuable when the concept makes sense.
Build a practical foundation in tokens, context, prompts, model behavior, and common LLM workflows before moving into advanced AI applications.
Connect it to the stack.
Translate the idea into a working pattern. Think in inputs, decisions, outputs, and the tools around them.
Apply it to the build.
Leave with one practical next move: test the idea, open the source, or return to the wider resource library.
LLM BASICS
Understand the engine behind modern AI.
Better references. Better decisions.
Keep this resource close when you are building, reviewing, debugging, or deciding what to learn next.