Beginner · Fundamentals
Dynamic
Visual diagram · (in preparation) · Math · (in preparation) · Worked example · 3 difficulty levels.
TL;DR. Describes processes or models that change or adapt frequently over time, often in response to new data.
Technical Definition
Describes processes or models that change or adapt frequently over time, often in response to new data.
How it works
In machine learning, 'dynamic' typically refers to systems that are continuously updated or adapted. This can apply to models that are retrained frequently (dynamic models) or predictions generated on-demand as new data arrives (dynamic inference). Dynamic processes are contrasted with static ones that remain fixed after initial training.
Related Concepts
- Adaptation — A synonym for tuning or fine-tuning a pre-trained AI model on new data.