VLM Field Extraction Models

VLM Field Extraction Models

[v42.0-v42.2] ORCA (Optical Reasoning and Cognition Agent) VLMs

Accessing this feature: Your access to the feature described in this article depends on your license package and pricing plan. To learn which features are available to your organization and how to add more, contact your Hyperscience representative.

[v42.3] ORCA (Optical Reasoning and Cognition Agent) VLMs

[v42.3] Installing ORCA VLMs

This article explains how to install ORCA (Optical Reasoning and Cognition Agent) VLMs in v42.3 and configure your instance to use them for document processing. For information about the capabilities of ORCA VLMs, see our [v42.3] ORCA (Optical Reasoning and Cognition Agent) VLMs.

[v42.3] Model Definitions

This feature is available in v42.3 and later. Building an effective document-processing solution requires understanding how the components involved in model training work together. The Model Definitions table is designed to help manage these components.

[v42.3] TDM for ORCA VLMs

Training Data Management (TDM) is where you prepare and manage the data used to train your models. In TDM, you review and annotate documents, build your training dataset, and improve model performance for your specific use case. TDM for ORCA VLMs will guide you through this process.

[v42.3] Training a Specialized Model

This feature is available in v42.3 and later. ORCA is a Vision Language Model (VLM) that extracts information from documents. To learn more, see [v42.3] ORCA (Optical Reasoning and Cognition Agent) VLMs. While the base model works out of the box, specialized training can enhance performance for specific applications.