What is Pruning?
It is the process of making an artificial intelligence model more efficient by deleting unnecessary connections that do not affect its performance.
Overview
Pruning literally means trimming. Artificial intelligence models contain millions or even billions of connections (neurons). Some of these have almost no impact on the outcome. When these redundant parts are cleared, the model shrinks, consumes less memory, and runs much faster.
How it works
The weights within the model are analyzed, and the weakest and most ineffective ones are identified and completely removed from the system.
Where it is used
It is used in optimizations performed to fit artificial intelligence models onto mobile phones or small devices.
Commonly confused with
Unlike quantization, which simplifies numbers to reduce the model's size, pruning directly deletes unnecessary connections.
Questions and answers
Does pruning decrease the intelligence of AI?
When done correctly, performance drops almost not at all; on the contrary, speed increases significantly.
Related terms
Related tools
This explanation was written in plain language for TreScout with AI and machine-translated from the Turkish original · the Turkish version prevails. If something looks wrong or missing, write to hello@trescout.com. Read in Turkish →