UATU - Query on-chain data in natural language
PlaygroundNPM PackageAPI Dashboard
  • Problems UATU is solving
  • White Paper
    • Abstract
    • Introduction
      • Background and motivation
      • Objectives of UATU
      • Scope and limitations
    • UATU Architecture
      • Blockchain Nodes & Knowledge Database
      • UATU Services and Service-Specific Databases
      • UATU API Cluster
      • Natural Language Processing (NLP) module
      • UATU Query Language (UATU QL)
      • Data extraction and presentation
  • UATU Services
    • On-chain data services
      • Implementation details and data sources
    • Integration with third-party APIs (where applicable)
  • User Interface, API, and NPM Library
    • Playground for direct user queries
    • API for developers and organisations
    • UATU libraries
      • Installation and usage
      • Library features and functions
    • Security and access control mechanisms
  • Use Cases and Applications
    • End-user scenarios
    • Developer and organisation scenarios
  • Evaluation and Performance Metrics
  • Future Work and Enhancements
  • Conclusion
  • Appendix
    • UATU QL Syntax and Examples
    • Detailed Service Descriptions
    • API Documentation and Usage Examples
    • UATU Library Documentation and Usage Examples
  • Tokenomics
    • Distribution
    • Token Sale Rounds
    • User Metrics & Trade Data
    • Burning
    • Milestones
  • FAQs
    • AI Model & NLP
    • UATU QL
    • UATU Library
    • UATU APIs
    • UATU Services
      • Wallet
      • Ticker
  • Links & Social
    • Uatu Playground
    • UATU Dev Dashboard
    • Twitter
    • Telegram Community
    • LinkedIn
    • Discord
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  1. FAQs

AI Model & NLP

How does UATU's natural language processing (NLP) work?

What AI algorithms and models are used in UATU's NLP?

Can UATU understand queries in languages other than English?

How does UATU handle complex or ambiguous queries?

How does UATU learn to improve its NLP and AI capabilities over time?

What measures are in place to ensure the accuracy of UATU's query resolution?

How does UATU handle industry-specific terminology and jargon?

Is UATU capable of understanding context-based queries?

How does UATU deal with spelling and grammatical errors in user queries?

How frequently are UATU's NLP and AI models updated?

Can UATU's NLP and AI models be customised for specific use cases or industries?

What is the response time for queries submitted to UATU?

How does UATU handle queries that require data from multiple blockchains?

Are there any limitations to the types of queries that UATU can handle?

Can UATU learn from user interactions to improve its query resolution capabilities?

How secure is the data processed by UATU's NLP and AI models?

What measures are in place to ensure the privacy of user queries and data?

How does UATU handle queries that require real-time or historical data?

Can UATU provide recommendations or predictions based on the queried data?

How does UATU handle queries that require data aggregation or complex calculations?

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Last updated 2 years ago

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