Comprehensive Planning Scheme for AI Agent Architecture: The Closed Loop from Data Collection to Intelligent Decision-Making

Comprehensive Planning Scheme for AI Agent Architecture: The Closed Loop from Data Collection to Intelligent Decision-Making

The modern AI Agent architecture exhibits multi-layered and modular characteristics, with its core focused on building intelligent systems capable of autonomous perception, decision-making, and execution. This architecture achieves a complete closed loop from raw data to intelligent services through the organic collaboration of the data layer, model layer, strategy layer, and interaction layer. Data serves … Read more

Multi-channel Recall: Enabling AI to Walk on Multiple Legs

Multi-channel Recall: Enabling AI to Walk on Multiple Legs

Multi-channel Recall can be understood as a “broad net, multi-angle” information retrieval strategy. Its core idea is: no longer relying on a single method to find answers or recommend content, but rather using various different methods or channels to collect potentially relevant results, ultimately integrating these results to enhance accuracy and diversity. What is Multi-channel … Read more