>How AI architecture prevents plausible but wrong analytics
The article describes a hybrid inference architecture that prevents inaccurate data analysis by separating probabilistic LLM reasoning from deterministic code execution.
- LLMs frequently generate plausible but incorrect analytical results.
- Hybrid model separates interpretation tasks from mathematical execution.
- Analysis Planner converts natural language into structured JSON instructions.
- Analysis Engine runs predefined Python scripts to ensure accuracy.
- Semantic mapping files decouple user requests from complex datasets.
Guide
The article describes a hybrid inference architecture that prevents inaccurate data analysis by separating probabilistic LLM reasoning from deterministic code execution.
- LLMs frequently generate plausible but incorrect analytical results.
- Hybrid model separates interpretation tasks from mathematical execution.
- Analysis Planner converts natural language into structured JSON instructions.
- Analysis Engine runs predefined Python scripts to ensure accuracy.
- Semantic mapping files decouple user requests from complex datasets.
Guide
-set hive.exec.orc.split.strategy=ETL; -- this will work only for specific values scan, if full table scan will be required anyway, use default (HYBRID) or BI.
