FOUNDATIONS • 28 / 397
Start before LLMs. Understand where AI, ML and neural networks fit.
Loss Function
A loss function is the rule used to calculate the model’s error during training.
Think of it like
Think of Loss Function 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 Loss Function somewhere inside.
SRE lens
Different tasks may use different loss functions even if the serving infrastructure looks similar.
Remember thisA loss function is the rule used to calculate the model’s error during training.