ThoughtSpot Introduces Spotter Semantics to Bring Trust and Context to Enterprise AI

Built for agents, ThoughtSpot Spotter Semantics adds next-gen search tokens and aggregate awareness to deliver consistent, contextual and actionable analytics at enterprise scaleMOUNTAIN VIEW, Calif., ...
IEEE

Converting Natural Language to SQL Queries for Data Retrieval Using Database Metadata and LLaMA 3.2

Abstract: This work introduces a schema-aware solution that employs the LLaMA 3.2 large language model to translate natural language (NL) queries into executable SQL statements. Unlike traditional ...
Phys.org

Hard-to-synthesize materials revived using AI: An LLM-based materials redesign technology

A research team led by Prof. Yousung Jung of the Department of Chemical and Biological Engineering at Seoul National University (SNU) has developed an innovative AI-based technology that uses large ...
GitHub

SQL-R1: Training Natural Language to SQL Reasoning Model By Reinforcement Learning

Natural Language to SQL (NL2SQL) enables intuitive interactions with databases by transforming natural language queries into structured SQL statements. Despite recent advancements in enhancing ...
IEEE

Automated SQL Query Generation for an Intelligent Sewer Management System Using Large Language Models

Abstract: The aging U.S. wastewater infrastructure poses significant environmental and public health risks. While municipalities collect data for asset management, handling large datasets can ...