Sage Union Whitepaper
  • Introduction
    • Project Overview
    • Problem Statement
    • Vision & Mission
  • Market Overview
    • Current Issues in the Information Ecosystem
    • Potential of Human-AI Collaboration
    • Competitor Analysis & Differentiation
  • SageUnion Solution
    • System Components
    • Human-AI Collaboration Model
    • Definition & Creation of High-Quality Information
  • Platform Architecture
    • Telegram Mini-App Structure
    • Data Collection & Processing Workflow
    • AI-Based Information Evaluation Mechanism
    • Reward Distribution Logic
  • Tokenomics
    • Token Overview (SAGU)
    • Total Supply & Distribution Plan
    • Token Utility & Rewards
    • Revenue Model & Sustainability
  • Governance & Community
    • User Participation Structure
    • Voting & Decision-Making Mechanism
    • Community Incentives
  • AI Learning & Quality Control
    • Data Collection Standards
    • AI Evaluation Logic
    • Continuous Learning Framework
  • Roadmap
    • Development Phases
    • Beta Launch & Official Release Timeline
    • Long-term Vision
  • Team & Partnerships
    • Team Introduction
    • Advisory Board & Partners
    • Strategic Partnerships Plan
  • Conclusion
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  1. Platform Architecture

AI-Based Information Evaluation Mechanism

The AI Evaluation Engine is a proprietary system designed to analyze and score user-submitted information based on predefined quality metrics. The evaluation mechanism consists of:

  • Natural Language Processing (NLP) Analysis: The AI system uses NLP techniques to understand the context, coherence, and factual accuracy of each submission.

  • Content Scoring Algorithms: Each response is evaluated based on criteria such as accuracy, relevance, depth, originality, and clarity.

  • Dynamic Evaluation Model: The AI model continuously improves by learning from user feedback, past evaluations, and verified information, enhancing its scoring accuracy over time.

  • Transparency & Fairness: The scoring process is designed to be transparent, with contributors able to view their evaluation results and appeal if necessary.

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Last updated 7 days ago