Text-to-SQL simplifies queries but can misinterpret data structures and phrases. Ensuring up-to-date schema info and providing examples improves accuracy. Real-time checks and smaller question steps ...

Abstract: Generating accurate SQL from users' natural language questions (text-to-SQL) remains a long-standing challenge due to the complexities involved in user question understanding, database ...

Windows Server 2025 comes with great developments like Hotpatching for everyone, next-generation Active Directory and SMB, Mission Critical Data & Storage, Hyper-V & AI, etc. To get these features and ...

Follow these steps to easily bulk delete messages on your Android device: Important Note: Be cautious with this setting. It will permanently delete older messages once you reach 1000 texts, 100 ...

What if sharing and managing files didn’t have to involve bloated software, subscription fees, or convoluted setups? Imagine a tool that’s lightweight, open source, and powerful enough to handle ...

Snowflake has thousands of enterprise customers who use the company's data and AI technologies. Though many issues with generative AI are solved, there is still lots of room for improvement. Two such ...

If you've ever needed to replace a specific word or path across hundreds of files, you’re not alone. I’ve been there - manually opening file after file, making the same change over and over. It’s slow ...

Abstract: In-Context learning serves as a vital component for enhancing Text-to-SQL task performance. However, current in-context learning methodologies for Text-to-SQL applications fail to ...