What is Model Weights?
Numerical values where artificial intelligence stores the information learned during training and determines its decisions.
Overview
These are numbers that indicate the strength of neural connections in the brain of an AI model. Throughout the training process, the model works on billions of data points and constantly updates these numbers. The resulting massive set of numbers is where all the model's capabilities and knowledge are stored.
How it works
Data provided as input passes through layers made up of these numbers, and at each step, they are multiplied and added together to produce a result. As mistakes are made, these numbers are decreased or increased.
Where it is used
You will encounter this when sharing open-source models, sizing model files, and during fine-tuning processes.
Commonly confused with
It can be confused with raw data or program code, but these are simply the experience coefficients learned by the model.
Questions and answers
Can model weights be changed?
Yes, these numbers can be updated through fine-tuning or additional training processes.
Related terms
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 →