Foundation Model
The foundation model is a self-supervised representation layer trained on your raw event and attribute data. It learns behavioral patterns across all available tables and time periods, producing embeddings — behavioral profiles of your entities — that power every downstream scenario.
In this section
| Guide | Description |
|---|---|
| Basic Configuration | Set up the minimum viable foundation model definition |
| Managing Data | Expand on data sources, selection, and transformations |
| Advanced Options | Fine-tune hyperparameters, scaling, and performance |
| Training | Execute training and verify outputs |