openledger
  • Openledger Ecosystem
    • What is Openledger?
    • Test Network Overview
      • Block Production and Execution
        • Data Availability via EigenDA
        • Bridging and Settlement
    • Data Intelligence Layer
  • Testnet
    • Node Installation
      • Android
      • Windows
      • Chrome Extension
      • Linux (Ubuntu)
    • Earning Mechanism
      • Network Earnings
      • Referral Earnings
      • Tier System and Progression
  • Epoch 2
  • DATANETS AND PROOF OF ATTRIBUTION
    • What is Datanets?
    • Why Specialized Data is important?
    • Proof of Attribution
    • OpenLedger Data Attribution Pipeline
    • RAG Attribution
  • Token
    • Openledger Token
  • Model Factory
    • ModelFactory: Where AI Meets Secure Data Fine-Tuning
    • Core Concepts
    • Supported Models
    • System Architecture
    • Key Features
    • Benchmarks
  • OpenLora
    • Open LoRA: A Scalable Fine-Tuned Model Serving Framework
    • System Architecture
    • Workflow
    • Optimizations & Performance Enhancements
    • Use Cases
    • API & Integration
    • The Future
  • Community Support
    • Openledger communities
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  • What is the Data Intelligence layer, and Why is it Important?
  • How Does the Data Intelligence layer Source Data?
  1. Openledger Ecosystem

Data Intelligence Layer

The First Phase of our testnet is Data Intelligence Layer

What is the Data Intelligence layer, and Why is it Important?

The Data Intelligence layer is a growing repository of internet-sourced data, powered by community nodes. This data undergoes processes such as curation, enrichment, categorization, and augmentation to provide LLM-ready auxiliary intelligence for building specialized AI models on OpenLedger.

This innovative data source is developed by a former Google DeepMind engineer and the Data Bootstrap team, making it a one-of-a-kind resource for decentralized AI development.

How Does the Data Intelligence layer Source Data?

The Data Intelligence layer relies on community nodes that run on edge devices using community hardware. Once registered, these nodes utilize computational resources to perform tasks such as data collection and processing. Contributors earn rewards based on their activity levels and participation, incentivizing sustainable community-driven data sourcing.

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Last updated 4 months ago