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Start before LLMs. Understand where AI, ML and neural networks fit.
Unsupervised Learning
Unsupervised learning looks for structure or patterns in data without being given the correct answer for every example.
Think of it like
Think of Unsupervised 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 Unsupervised Learning somewhere inside.
SRE lens
An anomaly detector can group unusual metric behavior without a human labeling every event.
Remember thisUnsupervised learning looks for structure or patterns in data without being given the correct answer for every example.