
LOTUS: Semantic Operators for AI-Powered Data Analysis
A declarative framework for robust LLM-based data processing
LOTUS introduces semantic operators that enhance data processing capabilities by leveraging LLMs in a declarative, efficient, and robust framework.
- Creates a formalized approach to AI-based data transformations with performance guarantees
- Enables complex analytics and reasoning over large knowledge repositories
- Provides superior expressiveness and usability compared to existing row-wise LLM operations
- Demonstrates practical applications including biomedical classification and fact-checking
For the medical sector, LOTUS offers powerful biomedical multi-label classification capabilities, potentially revolutionizing how medical data is processed, categorized, and analyzed at scale while maintaining robustness.
Semantic Operators: A Declarative Model for Rich, AI-based Data Processing