AI Technology Architecture

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.