AGI Technology Specification

Mixture-of-Experts Framework

• Dynamically routes queries to the most appropriate LLM or combination of LLMs based on query context, domain, and performance metrics.
• Supports both synchronous (parallel) and asynchronous (priority-based) processing to optimize performance.

Multi-Cloud LLM Integration

• ChatGPT (OpenAI): Best for creative, conversational, and contextual reasoning.
• Claude (Anthropic): Focused on ethical and safe outputs with a robust understanding of complex queries.
• LLaMA (Meta): High performance for domain-specific, technical, and multilingual tasks.
• APIs for adding additional LLMs as they emerge.

Internet Search Capabilities

• Real-Time Search: Uses search APIs (e.g., Bing, Google Custom Search) to fetch the latest information.
• Fusion of Results: Combines LLM outputs with live search data for more accurate and up-to-date responses.
• Citation Support: Provides references for all real-time search-derived answers to ensure traceability.

Expert Agents

• Specialized modules pre-trained or fine-tuned for specific industries (e.g., legal, healthcare, finance).
• Configurable workflows allowing users to select and prioritize expert agents for specific scenarios.

Modular Architecture

• Allows integration of additional skills, APIs, or data sources to extend functionality.
• Microservices architecture ensures scalability and fault tolerance.

Customization and Control

• User-configurable routing rules to prioritize specific LLMs or search sources.
• Privacy settings for sensitive data queries, with the option for on-premise deployment of LLMs.

Learning and Adaptation

• Continuous feedback loop to improve performance based on user interactions.
• Fine-tuning capability for custom datasets provided by clients.

UI/UX and Integration

• Web-based dashboard for configuration and monitoring.
• APIs for seamless integration into third-party applications.
• Supports voice and text input modes.