Technical Architecture and Application Value of Intelligent Dialog System
The platform's original model routing mechanism realizes seamless switching between different AI expert systems:
- Model Library Composition: LLaMA-2 is used in the base layer to guarantee responsiveness, Claude-2 is deployed in the professional layer to handle complex narrative logic, and GPT-4 is invoked in the creative layer to generate dispersive content.
- Intelligent Routing Policy: Automatic assignment of query requests through the Intent Recognition Module, with the Technical Advice category assigned to Claude and the Inspiration category routed to GPT-4
- Creative Memory Function: Create a project-specific knowledge vector base to ensure a high degree of consistency in characterization and plot details across multiple rounds of dialogue
Practical tests show that the system's creative proposal adoption rate is 42% higher than that of the single-model solution, significantly reducing the cost of manual modifications.
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