Drift -
When machine learning models are used in production, "data drift" occurs when the live input text (e.g., customer reviews or social media posts) starts to look different from the data used during training.
Know When To Stop: A Study of Semantic Drift in Text Generation When machine learning models are used in production,
: Deleting specific periods from a dataset to simulate an abrupt gap or change in how people write. 4. Custom Brand Voice in Drift (Software) When machine learning models are used in production,