# What is gradient descent, and how is it used to optimize models?

_Last updated: 2026-07-20_  
_Reviewed by: Jason Burns, Editorial Steward_  
_Published by: AIDirectAnswers.com · Licensed under Citation License 1.0_

## Short answer

Gradient descent is an optimization algorithm that iteratively adjusts a model's parameters in the direction that most reduces a loss function, using the loss's gradient computed with respect to those parameters.

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_Author: [Jason Burns](https://www.linkedin.com/in/jason-randolph-burns), Editorial Steward_  
_Published: 2026-07-20 · Modified: 2026-07-20_  
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