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. NexaFusion Architecture

Reward System

The reward system in NexaFusion is designed to incentivize significant contributions within the ecosystem, covering areas like data provision, model development, and validation, all operating within a BSC-based infrastructure.

Data Contributors: Those who upload valuable data to the platform are rewarded with data ownership tokens, granting them ownership rights and economic benefits derived from the use of their data.

Model Developers and Tuners: Individuals involved in developing or fine-tuning AI models receive rewards based on the usage and performance of their models. These incentives encourage ongoing development and enhancement of AI capabilities within the platform.

The reward system in NexaFusion ensures that contributors are fairly compensated for their efforts in maintaining data integrity, advancing AI model development, and participating in ecosystem validation, fostering a collaborative environment for sustainable growth and innovation.

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Last updated 9 months ago