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Start before LLMs. Understand where AI, ML and neural networks fit.
Weight
A weight is a learned numerical value controlling how strongly one signal influences another inside a neural network.
Think of it like
Think of Weight 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 Weight somewhere inside.
SRE lens
Model files are largely collections of learned weights plus architecture information.
Remember thisA weight is a learned numerical value controlling how strongly one signal influences another inside a neural network.