AIDOL Docs
  • 👊1. Introduction
  • ❓2. Market Landscape
  • ⛵3. AIDOL’s Core Technology
    • 3.1 StarGen Technology
    • 3.2 ManageStar Agents
    • 3.3 AIDOL Vault
    • 3.4 Generative AI Content Tools
    • 3.5 Virtual Reality Capability
  • ⭐4. The $AIDOL Token
    • 4.1 Utility Overview
    • 4.2 Dynamic Subscription Tiers
    • 4.3 Revenue-Sharing & Staking
    • 4.4 Tokenomics
  • 🎯5. Platform Use Cases
  • 🥷6. Technical Architecture
    • 6.1 Blockchain & Smart Contracts
    • 6.2 Data & AI Infrastructure
    • 6.3 Oracles & Off-Chain Services
  • 🚀7. Roadmap
  • 🛡️8. Security & Regulatory Compliance
  • 🎮9. Disclaimer
  • 10. Socials
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  1. 6. Technical Architecture

6.2 Data & AI Infrastructure

  1. Model Training

  • StarGen models are trained using large, ethically sourced datasets to ensure diversity in AI Idol attributes.

  • Employs GPU or TPU clusters for computational efficiency, utilizing frameworks like PyTorch or TensorFlow.

  1. Content Curation

  • Uses decentralized storage solutions (e.g., IPFS) to host user-generated media and AI Idol data, reducing reliance on single points of failure.

  1. Privacy & Compliance

  • Minimizes collection of sensitive data. Aligns with GDPR, CCPA, and other relevant privacy standards for secure data handling.

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Last updated 14 days ago

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