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 ...
Built-in intelligence – SQL Server 2025 optimising performance and insight. Key takeaways SQL Server 2025 shifts optimisation from a reactive activity to an intelligence-driven discipline. Built-in ...
Optimization of Acceleration for Multi-Table Association Queries in Data Warehouse Based on CNN-LSTM
Abstract: The performance optimization of multi-table association query in data warehouse is a key challenge to improve the efficiency of enterprise data analysis. Traditional optimization methods are ...
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