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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On this page
  • User Management Module
  • Dataset Access Control
  • Fine-Tuning Engine
  • Chat Interface Module
  • RAG Attribution Module
  • Evaluation & Deployment Module
  1. Model Factory

System Architecture

User Management Module

Handles authentication and dataset permissions.

Dataset Access Control

Manages secure, permissioned access to datasets.

Fine-Tuning Engine

Supports advanced training optimizations.

Chat Interface Module

Enables real-time interaction with fine-tuned models.

RAG Attribution Module

Integrates retrieval-based generation with citation tracking.

Evaluation & Deployment Module

Offers tools for model testing and exporting.

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Last updated 3 months ago