NexaFusion Whitepaper V 1.0
  • Execution Summary
  • Introduction to NexaFusion
    • Introduction to NexaFusion
    • Purpose and Goals
    • System Architecture
  • About $NXF
    • $NXF Coin
    • Purpose of $NXF
    • Economic Design
    • Ecosystem Utilization
  • NexaFusion Architecture
    • Overview
    • Core Components of NexaFusion Architecture
    • Data Layer
    • Model Management Interface
    • Reward System
    • Verification and Arbitration Layer
    • Monitoring and Feedback Loop
  • Storage Nodes
    • Overview
    • Operations
    • Reward System
    • Integration into NexaFusion
  • NEXUS
    • NEXUS
    • Model Testing and Validators
    • Usage-based Rewards
  • Tokenomics
    • Overview
    • Utility
    • Vesting plan
  • Team
    • Core member
  • Roadmap
  • NEXUS Roadmap
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  1. NEXUS

Usage-based Rewards

Structure The reward system in NEXUS is designed to provide fair incentives and compensation to contributors for their intellectual and computational efforts:

  • Data Usage Rewards: Data providers are compensated each time their data is utilized within the platform.

  • Model Usage Rewards: Model creators earn ongoing rewards based on the usage of their models, encouraging continuous improvement and relevance.

This structured reward system recognizes contributions to the NEXUS platform, fostering a sustainable and dynamic environment for AI development.

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Last updated 9 months ago