Low-Code AI
  • 📚introduction
    • The Current State of the AI Market
      • The need for AI decentralization
    • Low-Code AI: Democratizing Development and Innovation
  • 🔧How it Works
    • Low-Code AI Creation
      • No-Code Mode: Simplified AI Creation for Everyone
      • Low-Code Mode: Advanced Customization for Developers and Enterprises
    • Decentralized Model Training
      • Distributed Data Contribution
      • Computational Resource Sharing
      • Blockchain-Based Model Training
    • Decentralized AI Model Marketplace
      • Order Book Matching System
      • Customizable Licensing and Usage Terms
    • Community-Driven Governance
  • ♟️What Makes Low-Code AI Unique
    • What Makes Low-Code AI Unique
  • 💰Tokenomics
    • Tokenomics
      • Token Distribution
      • Utility of $LCAI
  • 🔦Roadmap
    • Roadmap
  • ❓FAQ
    • FAQ
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  1. How it Works

Decentralized Model Training

Decentralized Model Training in Low-Code AI leverages the power of distributed computing and blockchain technology to enable collaborative and secure model development. Unlike traditional centralized AI systems, where all training is performed on a single server or data center, Low-Code AI’s decentralized approach allows for the training process to be spread across multiple contributors. This provides several key benefits, including enhanced security, improved model accuracy, and a more equitable ecosystem.

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Last updated 1 month ago

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