FOUNDATIONS • 26 / 397
Start before LLMs. Understand where AI, ML and neural networks fit.
Parameter
A parameter is a learned numerical value inside a model; weights and biases are common examples.
Think of it like
Think of Parameter as one layer in a very large toolbox: you only need to understand what job that layer performs.
Real life
A phone spam filter, recommendation engine, fraud detector or voice assistant may use Parameter somewhere inside.
SRE lens
A “70B” model has roughly 70 billion learned parameters, affecting memory and serving requirements.
Remember thisA parameter is a learned numerical value inside a model; weights and biases are common examples.