FOUNDATIONS • 14 / 397
Start before LLMs. Understand where AI, ML and neural networks fit.
Training
Training is the process of adjusting a model’s learned parameters using examples so its predictions improve.
Think of it like
Think of Training 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 Training somewhere inside.
SRE lens
Training happens before a model is served to production users.
Remember thisTraining is the process of adjusting a model’s learned parameters using examples so its predictions improve.