What does “Feature Extraction” mean?

A model specialized for converting data into vectors used for semantic search, clustering, and retrieval.

A managed system for storing and serving validated ML features consistently for training and inference.

A shift in real-world input data over time that can degrade model performance.

The process of assigning tags or target outputs to raw data for supervised learning.

A model that can process or generate multiple data types such as text, image, and audio.

A model that encodes queries and documents into separate vectors so they can be compared quickly at scale.