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 ...

Abstract: The increasing reliance on data-driven decision making has made database interaction a critical component in many domains. However, writing Structured Query Language (SQL) queries requires ...

Forbes contributors publish independent expert analyses and insights. Dr. Lance B. Eliot is a world-renowned AI scientist and consultant. This voice experience is generated by AI. Learn more. This ...

How to save and search all the Bluesky posts you’ve liked with the atrrr R package and use NotebookLM to ask natural language questions about those likes. Enterprises that already subscribe to ...

Natural language processing—often shortened to NLP—is a branch of artificial intelligence that helps computers understand, interpret, and respond to human language. It’s the technology that allows ...

QuantLens converts natural language into SQL using a local LLM. Your data never leaves your machine. ┌─────────────────────────────────────────────────────────────────┐ │ │ │ "What are the top 5 ...

From the recent momentum behind translating natural language to SQL (nl2sql), to commercial product offerings such as Co-Pilot for Microsoft Fabric, Large Language Models (LLMs) are poised to have a ...

The holiday season is fast approaching, and our thoughts begin to turn to decorating for the seasons. This year, instead of — or along with — premade purchased decorations, you might consider using ...

In most enterprises, data access still feels like a locked room with SQL as the only key. Business teams depend on data engineers for every report, dashboard, or metric tweak. Even in the age of ...