Interactive Concept Visualizer
The backbone of every modern LLM
How every token speaks to every other
Giving the model a sense of sequence order
One token at a time, each conditioned on all prior
Why responses appear word-by-word in real time
Shaping behavior before the conversation begins
Text as the model actually perceives it
Fine-tuning from human preference signals
Anthropic's principle-based self-critique loop
Predictable improvement with compute, data, and parameters
Task-specific adaptation at a fraction of the cost
When models confabulate — and how to anchor them
