AI Glossary Term

What is Parameter?

Definition

A learned weight inside a model that influences its outputs.

Related terms

Weight
A learned numeric value that scales signals passing through a neural network.
Parameter-Efficient Fine-Tuning (PEFT)
Methods that adapt models by training a small subset of added parameters.
Algorithmic Bias
Systematic unfairness in model outputs caused by skewed data, assumptions, or modeling choices.
Data Labeling
The process of assigning tags or target outputs to raw data for supervised learning.
Gradient
A vector showing how much each parameter should change to reduce loss.
Ground Truth
Trusted reference labels used to train or evaluate model outputs.

Learn more in our free guides

Hard Parameter Sharing in Multi-Task NetworksGumbel-Softmax and ReparameterizationLoRA and Parameter-Efficient TuningHyperparameter Tuning
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