Abstract: The in-context learning capability of Large Language Models has achieved significant success in text-to-SQL task. Most existed approaches generally adopt a straightforward three-stage ...

Remember when teams had no money, recoiled at the asking price for free agents and were content to let the marquee stars rot at home all winter? Oh, how five days can dramatically change the baseball ...

AI agents are being sold as the solution for planning trips, answering business questions, and solving problems of all kinds, but getting them to work with tools and data outside their chat interfaces ...

A team of AI researchers at Bloomberg have developed PExA, an agentic framework that achieved 70.2% execution accuracy, sharing one of the top positions on the Spider 2.0 (Snow) leaderboard, one of ...

A customer demo application that uses Azure OpenAI GPT-4o and the Microsoft Agent Framework to query an Azure SQL Database using natural language. Built with Flask, this web application provides an ...

Microsoft has released the first release candidate for SQL Server 2025, touting AI capabilities and experimental features through PREVIEW_FEATURES. A private preview of SQL Server 2025 began in ...

A new SQL Server 2025 feature lets organizations run vector-based semantic searches on their own data, connecting to local or cloud-hosted AI models without relying on massive general-purpose LLMs. I ...

We’re excited to announce a new migration capability in Azure Arc to simplify and accelerate SQL Server migration. This new capability, now generally available, is powered by Azure Database Migration ...

At Build 2025, SQL Server 2025 officially entered public preview. As one of the world’s most popular databases, this release continues a decades-long history of innovation with features made for ...

Database administrator with 14+ years of hands-on experience in database management and database design.