Textopia.ai
  • Textopia.ai
  • INTRODUCTION
    • Dall-E Synthesis
    • Stable Diffusion for Image Synthesis
      • Benefits of stable Diffusion in Image Generation
      • Concept of Stable Diffusion
  • Problems and Solutions
    • Problem Statement
      • Solutions
  • Features
    • Text-To-Speech
      • Online video Editor
      • AI Writer
      • Voice Cloning
      • AI Voices
      • AI Art Generator
    • Text-To-Video
      • The Technology Behind Text-To-Video
      • A Deep Dive into AI Text-to-Video
  • Technical Implementation
    • NLP
      • Feature Extraction
      • Generative Models In Textopia
      • 3D Rendering Engine
  • Applications
    • Level Design for Games
      • GIF Generation
  • Integrations
    • API and SDK Documentation
  • $TXT
    • Tokenomics
      • Ecosystem
      • Token Utility
        • Staking and Governance
        • Deflationary Mechanisms
        • Benefits and Discounts
        • Ecosystem Integration
        • Transparency and Accountability
  • RoadMap
    • Phase 1: Research and Development
      • Phase 2: Model Enhancement and Scaling
      • Phase 3: Deployment and Integration
      • Phase 4: Continuous Improvement and Maintenance
  • Textopia | Disclaimer
    • Website
      • Privacy Policy
      • Terms Of Use
      • FAQ
    • Contact Us
    • Conclusion
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  • Tokenization and Embeddings
  1. Technical Implementation

NLP

Natural Language Processing

Tokenization and Embeddings

Textopia Natural Language Processing module employs tokenization techniques to break down textual input into meaningful units. Word embeddings, such as Word2Vec or GloVe, are then used to represent these tokens numerically

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Last updated 1 year ago