🏒Natural Language Interpreter

The natural language interpreter significantly enhances system intelligence through deep integration with Large Language Models (LLM). This component specializes in precise parsing of user inputs, utilizing LLM's advanced language processing capabilities to ensure accurate understanding of user intent and context. At the technical implementation level, the interpreter converts natural language into standardized structured data, such as JSON format, SQL queries, or API call instructions.

Leveraging LLM's contextual understanding and multi-task processing capabilities, the system generates precise execution instructions and dynamically adjusts conversion strategies based on specific application scenarios. In terms of system integration, the interpreter serves as a professional conversion interface between user requirements and system functionality.

Through the integration of LLM's knowledge base and reasoning capabilities, it significantly improves the accuracy of tool invocation. For example, for a query about ``bank loan interest rate comparison,'' the system can construct professional retrieval logic, call relevant data interfaces, and present analysis results in a professional yet comprehensible manner. In task processing, the interpreter employs advanced task decomposition strategies.

Taking restaurant reservations as an example, the system breaks down complex requests into multiple execution steps, completing tasks through LLM's multi-level reasoning capabilities according to a clear execution sequence (location confirmation, seat availability check, booking confirmation). Through systematic integration with LLM, the interpreter not only efficiently handles diverse task requirements but also continuously enhances the professionalism and efficiency of interaction experiences through ongoing optimization mechanisms (including iterative updates and validation processes).