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Start before LLMs. Understand where AI, ML and neural networks fit.
Backpropagation
Backpropagation efficiently sends error information backward through the neural network so gradients can be calculated.
Think of it like
Think of Backpropagation 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 Backpropagation somewhere inside.
SRE lens
GPU training clusters spend significant compute on forward and backward passes.
Remember thisBackpropagation efficiently sends error information backward through the neural network so gradients can be calculated.