Global IT spending has crossed the multitrillion-dollar mark, with AI infrastructure representing one of the fastest-growing ...
The purpose of the Text-to-SQL task is to bridge the gap between natural language and SQL queries. Current approaches mainly rely on large language models (LLMs), but employing them for Text-to-SQL ha ...
Proprietary warehouses delivered scale — but at the cost of control, predictable pricing, and real flexibility. Enterprises are doing the math.
Abstract: Efficient SQL Query Optimization (QO) is a fundamental aspect of database management systems, aimed at enhancing query performance and reducing resource consumption typically involves ...
According to @godofprompt on Twitter, Anthropic engineers have leaked their internal AI workflow, revealing that 99% of users are misapplying large language models (LLMs). The engineers outlined five ...
(UroToday.com) The 2025 ESMO annual meeting featured a urothelial carcinoma mini oral session and a presentation by Dr. Alexandra Drakaki discussing dose optimization in FORAGER-1, a phase 1 study of ...
School of Environmental Science and Engineering/Tianjin Research Center for Safe Disposal of Organic Solid Waste and Energy Utilization Engineering, Tianjin University, Tianjin 300072, China ...
If I remove the OR condition inside the parhentesis works. My first thought is to debug the execution and at a certain point the query is "flatten". Not sure why, maybe for index optimization? In the ...