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. ZNEST

Model Selection and Customization

ZNEST provides users with the opportunity to select and customize AI models to suit their specific needs. This process involves the following steps:

  • Model Selection: Users can choose from a wide range of pre-trained AI models, selecting the one that best fits their particular requirements or project goals.

  • Customization: Once a model is selected, users can fine-tune it to optimize performance for specific tasks. This allows for tailored solutions that meet precise needs. Additionally, users who contribute by selecting and customizing models are rewarded when their configurations are utilized by other users, encouraging the efficient sharing of AI solutions across the platform.

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Last updated 5 months ago