FOUNDATIONS • 6 / 397
Start before LLMs. Understand where AI, ML and neural networks fit.
Supervised Learning
Supervised learning trains on examples that include the correct answer or label.
Think of it like
Think of Supervised Learning 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 Supervised Learning somewhere inside.
SRE lens
Historical incidents labeled “database”, “network” or “application” can train a classifier.
Remember thisSupervised learning trains on examples that include the correct answer or label.