Taτsu Identity Wiki
  • Introduction to Bittensor
    • Core Concepts
    • Key Components
    • Use Cases
  • Introduction to Ta𝜏su Identity
    • Key Components
    • Features
    • Use Cases
    • Human Score
    • Architecture
  • Technical Guidelines
    • 1. Clone the Repository
    • 2. Install Dependencies
    • 3. Generate Wallet Keys
    • 4. Register Keys
    • 5. Run the Process
    • 6. Monitor and Verify
  • Key Definitions
  • FAQ
  • External Links
Powered by GitBook
On this page
  1. Introduction to Bittensor

Use Cases

  • AI Model Training: Researchers and developers can leverage the Bittensor network to train machine learning models collaboratively. The decentralized nature of the network allows for efficient resource sharing and improved model performance.

  • AI Service Deployment: Businesses and individuals can deploy AI services on the Bittensor network, benefiting from its scalable and secure infrastructure. This enables the provision of AI-powered applications without the need for centralized intermediaries.

  • Automation and Analytics: Industries and Businesses can utilize the AI powered process automation and analytics to reduce overhead costs and streamline their processes.

PreviousKey ComponentsNextIntroduction to Ta𝜏su Identity

Last updated 10 months ago