A practical lab · about 18 minutes
Interactive learning lab
How AI works · guide 1 of 8
The language-model prediction forge
0/5 core signals
Saved only on this device
Mechanics lab · BriefingScene 1 / 6
Training changes weights; inference uses them
Follow one simplified prediction loop through both phases.
Training changes weights; inference uses them ready.
Thefastestwaytoimprove→?
During training, prediction error nudges model parameters across vast data. During inference, fixed weights produce a probability distribution for the next token, one step at a time. Neither phase opens a fact database.
Training compresses statistical patterns.
Inference samples a continuation.
Ground truth must come from context or tools.