ZDUCK WHITEPAPER v1.0
  • Introduction
  • ZDUCK
    • Introduction to ZDUCK
    • Purpose and Objectives
    • System Architecture
    • Conclusion
  • $ZDK
    • $ZDK Coin
    • Purpose of $ZDK
    • Economic Design
    • Utility within the Ecosystem
  • ZDUCK Architecture
    • Overview
    • Core Components of the ZDUCK Architecture
    • Design Principles
    • Data Layer
    • Model Management Interface
    • Reward System
    • Verification and Arbitration Layers
    • Monitoring and Feedback Loop
  • Storage Nodes
    • Overview
    • Roles and Functions
    • Operation
    • Storage Node Reward System
    • ZDUCK Network Integration
  • ZNEST
    • ZNEST Platform
    • Model Selection and Customization
    • Blockchain Integration
    • Model Testing and Validators
    • Usage-Based Reward Structure
  • Tokenomics
    • Basic Information
    • Utility
    • Key Functions
    • Reward System
    • $ZDK Token Vesting Plan and Allocation
  • Team
  • ZDUCK Business and Development Roadmap
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  1. ZDUCK Architecture

Model Management Interface

The Model Management Interface within ZDUCK supports the comprehensive management of AI models, covering everything from submission to testing and deployment.

  • Model Submission: Developers submit AI models along with metadata detailing the model’s purpose, underlying algorithms, and usage instructions.

  • Model Testing and Benchmarking: Before deployment, models are tested against benchmark datasets to evaluate their performance. The model also undergoes peer review to ensure it adheres to community standards and ethical guidelines.

  • Version Management and Updates: The system maintains a detailed version history of each model, allowing developers to roll back changes or reference previous versions if needed. This ensures transparency and traceability in the model improvement process.

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Last updated 5 months ago