Tag: Parameters and Memory Usage

The **parameters** in a machine learning (ML) model directly affect the **memory usage** because they determine the amount of data the model needs to store and process during training and inference. The more parameters a model has, the more memory it consumes. Here’s a breakdown of how this works: ### 1. **Memory for Storing Parameters**…