Blazpay
  • Blazpay Intro
    • Welcome to Blazpay: Revolutionizing Your Crypto-Financial Experience
    • The Blazpay Vision
      • Core Pillars
      • Ecosystem
    • Why Blazpay? Simplifying Crypto Complexity
  • FEATURES
    • Core Platform Features
      • AI-Powered Trading & Swaps
      • Rewards Dashboard
      • Payments Suite
      • Decentralized Finance (DeFi) Integration
      • Asset Management
      • User Experience, NFT & Engagement
    • Multi-Platform Support
      • Web App: The Command Center for DeFi
      • Loyalty Program Dashboard: Gamified Growth Engine
      • Mobile App (The Super App): DeFi On-the-Go
      • Web Extension: Blaz-AI Wallet at Your Fingertips
    • Features Summary Table
  • TECH
    • Technology and Architecture Overview
    • Core Technological Foundations & Strategic Approach
    • Technology Stack & Architecture
      • BlazAl Technology
      • DeFi Product Technology
      • Rewards Dashboard Technology
    • ⁤Security and Compliance in Blazpay
      • Uncompromising Security Architecture
      • Rigorous Compliance and User Protection
  • Marketing
    • Blazpay AI-Powered Marketing & User Acquisition Strategy
    • I. Unique Value Propositions
    • II. Core Marketing Strategies
      • 1. Content Marketing & Thought Leadership
      • 2. Community-Driven Growth
      • 3. Influencer Marketing & KOL Collaborations
      • 4. Paid Advertising & Performance Marketing
      • 5. Strategic Partnerships & Protocol Integrations
    • III. Go-to-Market Strategy
      • 1. Pre-Launch Phase
      • 2. Launch Phase
      • 3. Post-Launch Expansion
    • IV. Retention, Loyalty & User Experience
      • 1. Gamification Mechanics
      • 2. Loyalty & Incentive Systems
    • V. Measurement & Analytics
  • ABOUT US
    • Team
    • Tokenomics
    • Roadmap
    • Target Users
  • Conclusion
    • Conclusion and Future Outlook
    • Summary
    • Future Outlook
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  1. TECH
  2. Technology Stack & Architecture

BlazAl Technology

PreviousTechnology Stack & ArchitectureNextDeFi Product Technology

Last updated 12 days ago

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The conversational AI, BlazAl, is built using:

  • Conversational AI Core:

    • Rasa: Open-source machine learning framework used for building the core conversational AI, handling dialogue management and natural language understanding (NLU).

    • Spacy: Employed for its efficient Natural Language Processing (NLP) pipeline, assisting in tasks like entity recognition and intent classification.

    • DIETClassifier (Dual Intent and Entity Transformer): Rasa's architecture component used for joint intent classification and entity extraction, crucial for understanding user commands accurately.

  • Knowledge Augmentation:

    • Vertex AI: Google Cloud's AI platform is leveraged to answer questions or handle queries that fall outside the scope of BlazAl's internal Large Language Model (LLM) capabilities, ensuring comprehensive user support.

  • Backend & Frontend:

    • Node.js: Used for the backend infrastructure, handling API requests, business logic, and integration with blockchain components.

    • ReactJS: Powers the frontend user interface, providing a responsive and interactive chat experience.