Technology realization path for smart body customization
ARGO's "Intelligent Body Factory" module adopts a declarative programming paradigm, where users only need to describe their role requirements in natural language (e.g., "need a paralegal who is familiar with the civil code"), and the system will automatically configure the following elements: 1) bind the appropriate legal professional model; 2) load the pre-defined knowledge base of legal texts; and 3) enable the legal document generation toolchain. The system will automatically configure the following elements: 1) binding the appropriate legal professional model; 2) loading the preset knowledge base of legal texts; 3) enabling the legal document generation tool chain. The backend is implemented in three phases: the role understanding phase uses Few-shot Prompt to optimize intent recognition, the resource allocation phase applies graph algorithms to match the optimal combination of models/tools/knowledge bases, and the validation phase uses adversarial testing to ensure the consistency of the intelligences' behavior. Practice shows that non-technical users can create professional domain intelligences in 3 minutes on average, and the answer accuracy in medical consultation scenarios can reach 82% of the level of professional physicians.
This answer comes from the articleARGO: AI Intelligent Body Client for Deployment and Use on PCsThe
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