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

Purpose and Objectives

The primary goal of ZDUCK is to enhance the overall quality and functionality of AI technology within the blockchain ecosystem. To achieve this, the platform is focused on the following core objectives:

  • Improving Data Integrity: ZDUCK ensures that only high-quality data is used for AI model training by employing peer-to-peer verification and expert reviews. This guarantees that data sets utilized in AI training meet rigorous quality standards.

  • Fostering Machine Learning Innovation: The platform encourages innovation and progress in AI technology through contributions from a decentralized community. By harnessing the collective intelligence and input from various contributors, ZDUCK supports the development of cutting-edge AI solutions.

  • Creating a Reward Ecosystem: ZDUCK has implemented a fair reward system that incentivizes contributions ranging from data provision to model validation and testing. This system drives active participation from the community, ensuring continuous engagement and contribution.

  • Ensuring Transparency and Trust: Leveraging blockchain technology, ZDUCK provides transparent records of the data used in AI model training. This approach significantly enhances the trustworthiness and credibility of AI development processes.

  • Increasing Market Accessibility: By utilizing a robust network of verifiers and expanding data resources, ZDUCK reduces the cost and complexity for enterprises seeking AI solutions. This allows companies to adopt AI technologies more easily, making sophisticated AI solutions more accessible to a broader range of industries.

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Last updated 5 months ago