Checkpoint
A checkpoint is a saved snapshot of a model's weights and training progress.
Category
AI Model Training Core
These words describe the core knobs and checkpoints used while fitting a model.
How to recognize this theme
Terms for adjusting a model during training.
In a daily board, this category groups terms by their shared role. Look for four cards that describe the same mechanism, risk area, or workflow rather than four words that merely sound similar.
Educational context
These entries are vocabulary notes for learning. They are not project endorsements, token recommendations, exchange rankings, or trading signals.
Gradient Descent
Gradient descent is an optimization method that nudges model parameters toward lower error.
Learning Rate
The learning rate controls how large each parameter update is during training.
Optimizer
An optimizer applies the rules that update a model's parameters while it learns.