DIN: Data Intelligence Network
  • Data Intelligence Network - The Blockchain for AI
    • Overview
    • Purpose and scope of this whitepaper
  • 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
  • Data Layer: All for the Data
    • Data Flow of AI
    • DIN Protocol Architecture
    • Data Collection
    • Data Validation
    • Data Vectorization
    • The Reward Mechnism
  • Service Layer - Toolkit for dAI-Apps
    • LLMOps
    • RAG (Retrieval Augmented Generation)
      • Hybrid Search
      • Rerank
      • Retrieval
    • Annotation Reply
  • Application Layer: The Ecosystem and Product
    • Analytix
    • xData
    • Reiki
  • Tokenomics and Utilities
    • Details about the $DIN Token.
    • Use cases for the token within the ecosystem
  • Future Outlook
    • Roadmap in 2024
    • Future Developments of DIN
      • Data Marketplace
      • The Multi-Agent system(MAS)
  • References
    • Citations and Sources
    • Glossary of Terms
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Data Intelligence Network - The Blockchain for AI

NextOverview

Last updated 1 year ago

Data Intelligence Network (DIN) is a blockchain specifically crafted for decentralized Artificial Intelligence. It provides comprehensive solutions for decentralized AI-focused applications (dAI-Apps), including:

  1. AI Data availability and scalability.

  2. Toolkit for knowledgebase integration and searching using Retrieval-Augmented Generation(RAG).

  3. The Large Language Models operation(LLMOps) and monetization of AI-generated content (AIGC).

  4. The ultimate platform for developing dAI-Apps, streamlining the creation and deployment process.

Figure 1 illustrates the layered architecture of the DIN blockchain, structured from the bottom upwards as follows:

  • Consensus Layer: Employs blockchain technology to establish a foundation of trustlessness across all upper layers, mitigating risks associated with centralization.

  • Data Layer: Ensures data availability and scalability through the implementation of collection, validation, and computation nodes as specified by the DIN protocol.

  • Service Layer: Facilitates a comprehensive AI workflow for decentralized AI applications (dAI-Apps), supporting seamless end-to-end operations.

  • Application Layer: Serves as an all-encompassing platform for developers and project owners, providing tools and resources for dAI-App development. This includes access to pre-processed AI data, a Prompt Integrated Development Environment (IDE), a Retrieval-Augmented Generation (RAG) pipeline, Large Language Model (LLM) operations, and Agent solutions, making it a holistic ecosystem for AI application creation.

The topic mentioned above will be thoroughly examined in the coming chapters.

Fig.1: The Architecture of DIN