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

Training Intro

The Gintonic Training Subchain is envisioned as a specialized platform for the development and training of AI models within the ecosystem. This subchain will be designed to leverage distributed computing resources, allowing developers to train models more efficiently and at a larger scale than traditional methods permit. The goal is to provide a robust infrastructure that supports the intensive computational requirements of AI model training.

The Training Subchain will focus on optimizing the training process, offering tools for distributed training, hyperparameter tuning, and model optimization. By enabling collaboration and resource sharing, this subchain aims to reduce the time and cost associated with training sophisticated AI models. It is anticipated to play a crucial role in helping developers and organizations accelerate the development cycle of AI applications, ensuring that models are trained to high standards of accuracy and performance.

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Last updated 8 months ago