ANON AI
  • Decentralized AI Framework by ANON LABS
    • 1. Introduction
    • 2. System Architecture
    • 3. Key Features
    • 4. Development Workflow
    • 5. Applications
    • 6. GitHub Repository Setup
  • Conclusion
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  1. Decentralized AI Framework by ANON LABS

4. Development Workflow

Quantum Layer Implementation

  • Develop probabilistic models for superposition.

  • Test on synthetic datasets before integration.

Agent Logic Design

  • Create autonomous agents with task-specific expertise.

  • Implement learning algorithms for task adaptation.

Hybrid Integration Framework

  • Merge classical and quantum data for coherent outputs.

  • Ensure interpretability of combined results.

Testing and Optimization

  • Conduct unit tests for each layer.

  • Optimize for computational efficiency.

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Last updated 4 months ago