GWAI
  • 🌏Welcome to GWAI
  • Getting Started
    • Our Mission
  • Content
    • Core Features
    • AI Technology Architecture
      • Game Encyclopedia & AI Knowledge Distillation
    • Roadmap
  • Tokenomics
    • Token Details
    • Token Distribution
    • Token Utility
    • Funding Approach
    • Long-Term Stability and Growth
  • Appendix
    • AI Thought Process and Iterative Analysis
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On this page
  • Language Models and Multi-Agent Collaboration
  • Multi-Agent Collaboration
  • Power Optimization and Modular Design
  1. Content

AI Technology Architecture

PreviousCore FeaturesNextGame Encyclopedia & AI Knowledge Distillation

Last updated 2 months ago

Language Models and Multi-Agent Collaboration

  • Advanced LLM Support: Integrates models like DeepSeek, ChatGPT, Gemini, and QWen for optimal interaction intelligence.

  • RAG Enhancement: Combines real-time data to optimize AI understanding.

  • CoT Reasoning: Enhances AI’s decision-making through logic and long-sequence reasoning.

Multi-Agent Collaboration

  • AutoGen Framework: AI agents work together to complete tasks like dynamic strategy analysis and resource management.

  • Reinforcement Learning: Integrates multimodal inputs (text, voice, images) to better adapt to player needs.

  • Adaptive Task Planning: Recognizes intent and prioritizes tasks to optimize efficiency and immersion.

Power Optimization and Modular Design

  • Edge + Cloud Hybrid Architecture: Ensures low-latency performance in high-demand environments.

  • Scalable Modular AI Services: Provides customizable AI solutions tailored to various game types.