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Abstract: Large Language Models have greatly enhanced the Text-to-SQL task. In this paper, we propose AES-SQL, an LLM-based approach based on few-shot Learning. We adjust the structure of the adaptive ...
agile-delivery-quality-analytics/ │ ├── config/ # Configuration files │ ├── aws_config.json # AWS service configurations │ ├── data_sources.json # Source system connections │ ├── kpi_definitions.json ...
FDT/ ├── app/ # Admin backend (FastAPI) │ ├── main.py # Admin dashboard server │ ├── scoring.py # ML ensemble scoring │ ├── fraud_reasons.py # Explainability engine │ ├── feature_engine.py # Feature ...
Abstract: Recent progress in Large Language Models has pushed Text-to-SQL systems closer to enabling natural language queries over complex relational databases. Unfortunately, the models sometimes ...