Document Understanding Subnet - Whitepaper 1.0
  • What is the Document Understanding Subnet?
  • Core Functionalities
    • Current Capabilities
    • Future Capabilities
  • Supporting Infrastructure
  • Operational Overview
    • Reward Mechanism
  • Technical Architecture
    • Checkbox-Text Extraction: YOLO Checkbox Detector
    • OCR Engine: Tesseract OCR
    • Workflow of Checkbox-Text Extraction
  • Internal OCR Engine Development
    • Advanced Layout Analysis
  • Advantages of Document Understanding Subnet
  • Use Cases of Document Understanding Subnet
  • Economic Model
    • Key Participants and Roles
    • Integration with Bittensor’s Economic Framework
  • Comparative Analysis
    • GPT
    • Azure Document AI
    • Google Document AI
    • AWS Document Processing
  • Strategic Opportunities
  • Integration Options
  • Roadmap
  • Links
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Economic Model

PreviousUse Cases of Document Understanding SubnetNextKey Participants and Roles

Last updated 6 months ago

The Document Understanding Subnet operates within Bittensor’s decentralized economic framework, leveraging a robust, incentive-driven model to promote high-quality, secure document processing. This model aligns the goals of all participants—Validators, Miners, and Users—with an emphasis on accuracy, efficiency, and transparency.

Through a merit-based TAO token allocation, dynamic incentives, and continuous feedback loops, the Document Understanding Subnet ensures that contributors are fairly rewarded, enhancing document processing capabilities while supporting the subnet’s long-term sustainability.

Key Participants and Roles
Integration with Bittensor’s Economic Framework