⏳
DIN: AI Agent Blockchain
English
English
  • ABOUT DIN
    • ⏳ Overview
    • 🛣️ Our Journey
  • The Concept
    • 💡 Market and Trend Analysis
      • Overview of the current data trend and market
      • Overview of the current AI trend and market
      • Existing gaps and opportunities in the market
    • 🏠 DIN Architecture
      • 🟡Data Layer: All for the Data
        • Data Flow of AI
        • Data Collection
        • Data Validation
        • Data Vectorization
        • The Reward Mechnism
      • 🟩Service Layer: Toolkit for AI-Agent
        • LLMOps
        • RAG (Retrieval Augmented Generation)
          • Hybrid Search
          • Rerank
          • Retrieval
        • Annotation Reply
      • 💙Application Layer: The Ecosystem and Product
        • Analytix
        • xData
        • Reiki
  • How DIN works
    • ⛓️DIN Blockchain
      • 🌏Mainnet
      • 🧪Testnet
    • 🏤DIN Foundation
      • Team&Advisor wallet
      • MM & Liquidity wallet
      • Community wallet
      • Investors wallet
      • Ecosystem wallet
    • 💰 Tokenomics and Utilities
      • Token Allocations
      • Airdrop
      • Contract Details
      • Use cases for the token within the ecosystem
  • HOW TO JOIN
    • 🧲xData Explained
    • ⚙️Chipper Node Explained
      • How to run Chipper Node
      • Farm xDIN
      • Delegation
        • Revoke delegation
        • As an Operator
      • Node Stats
      • Smart Contract Addresses
    • 🤑Earn $DIN
    • 💹Staking
    • 🌉Buy $DIN
  • ROADMAP
    • 🎆 2025 Forward
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  1. The Concept
  2. 🏠 DIN Architecture

Data Layer: All for the Data

上一页🏠 DIN Architecture下一页Data Flow of AI

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"Every data scientist should spend 80% of their time on data pre-processing and 20% on performing the analysis."

As shown in Fig 1. , data plays a very important role in the whole AI workflow and is fundamental to AI blockchain—all dAI apps rely on high-quality data. We design and implement the DIN protocol to guarantee the network can obtain high-quality data by adopting an incentivized mechanism.

This chapter will explain how the DIN protocol works for the network participants and how they can be rewarded for participating in the data activity.

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Fig 1. AI workflow