gintonic modular blockchain for AI
  • Gintonic Hub
  • Live Subchains
    • Distillery Intro
    • Inference Intro
    • PrivateAI Intro
  • Planned Subchains
    • Service Discovery Intro
    • language Processing Intro
    • Forecasting Intro
    • Model Monitoring Intro
    • Deployment Intro
    • Pipeline Intro
    • AI Governance Intro
    • Training Intro
    • Fine-tuning Intro
    • Storage Intro
    • Data Transfer Intro
    • Data Lake Intro
  • Inference Subchain Guide
    • Getting Started
    • Core Concepts
    • API Reference
    • Best Practices
    • Billing and Usage
    • Troubleshooting
    • FAQs
  • Distillery Subchain Guide
    • Getting Started
    • Joining the Network
    • Earning Rewards
    • Managing Your Node
    • Troubleshooting
    • Glossary of Terms
    • FAQ
  • Private AI Subchain Guide
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  1. Planned Subchains

Fine-tuning Intro

The Gintonic Fine-Tuning Subchain is being conceptualized as a tool to help refine and adapt AI models to specific tasks or domains. This subchain will provide capabilities for tweaking pre-trained models, allowing them to be more effectively applied to particular use cases without requiring massive amounts of new data or extensive retraining.

The focus here is on making AI models more versatile and useful across different scenarios. By fine-tuning existing models, organizations could potentially save time and resources, speeding up deployment and enhancing model accuracy for their unique needs.

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Last updated 8 months ago