"If you can learn people's patterns, you can learn their tendencies and habits" - Damian Lillard explains how Kobe Bryant taught him to read defenders

Bryant often told Lillard to pay attention to minute details in game film. He emphasized the importance of learning an ...
InfoQ

MySQL AI Introduced for Enterprise Edition

Oracle has recently announced MySQL AI, a new set of AI-powered capabilities available exclusively in the MySQL Enterprise edition, targeting analytics and AI workloads in large deployments. Concerns ...

Google Cloud debuts new AI tools to boost data science productivity

On a mission to lighten the workload for data scientists, Google LLC’s cloud division today announced a wave of new ...
Visual Studio Magazine

Elevate SQL Development with VS Code

Microsoft PM Carlos Robles previews his Live! 360 Orlando session on how recent updates to the MSSQL extension—like GitHub ...

Hebei Steel Digital Applies for Text2SQL Patent, Large Model Empowers Query Efficiency in Specific Scenarios

The core of this patent lies in utilizing large models to achieve Text2SQL conversion in specific scenarios. According to the patent abstract, the method mainly consists of the following steps: first, ...
Visual Studio Magazine

VS Code SQL Extension Previews Microsoft Fabric Connectivity

Microsoft updated the free MSSQL extension for Visual Studio Code with public preview support for browsing Microsoft Fabric ...

Kejie Technology Obtains SQL Optimization Patent, **Large Models** Empower Database Performance Improvement

Beijing Kejie Technology Co., Ltd. recently announced that its patent for the "SQL Optimization Interaction Method and Device Based on Deep Learning Framework Large Models" has been authorized, with ...
InfoWorld

13 reasons SQL has got to go

Why is the language developers and DBAs use to organize data such a mess? Here are 13 reasons we wish we could quit SQL, even though we probably won't. For all its popularity and success, SQL is a ...
IEEE

Generate Text-to-SQL Queries Based on Sketch Filling

Abstract: The Text-to-SQL task has significant application prospects in automating relational database query interfaces. It can reduce user learning costs and improve data query efficiency. However, ...
GitHub

CSC-SQL: Corrective Self-Consistency in Text-to-SQL via Reinforcement Learning

Large language models (LLMs) have demonstrated strong capabilities in translating natural language questions about relational databases into SQL queries. In particular, test-time scaling techniques ...