Demystifying structured data: How to speak an LLM’s native language

Elk Marketing reports that structured data enhances AI understanding, enabling accurate entity recognition and improved ...
NDTV Profit on MSN

Oracle layoffs: 'Helped build FreeSQL' — employee who lost job pens note

Massey, who was 30 weeks pregnant and spent four years with the company, was laid off via an e-mail sent to her inbox.
IEEE

CCS-SQL: Enhancing Text-to-SQL Framework for Computational Queries via Large Language Models

Abstract: The Text-to-SQL task is to convert natural language queries into Structured Query Language (SQL) to achieve a natural language interface for database queries. The current research on Text-to ...
ascopubs.org

Development and Assessment of a Pipeline for Extracting Structured Data From Free-Text Medical Reports Using a Large Language Model

Medical free texts such as pathology reports contain valuable clinical data but are challenging to structure at scale. Traditional natural language processing approaches require extensive annotated ...
Fast Company

Are LTMs the next LLMs? This new type of AI can do what large-language models can’t

Large-language models (LLMs) have taken the world by storm, but they’re only one type of underlying AI model. An under-the-radar company, Fundamental, is set to bring a new type of enterprise AI model ...
TDAN

Democratizing Data with Text-to-SQL: How Natural Language Is Unlocking Enterprise Intelligence

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 ...
IEEE

SPG-SQL: Semantic Path Guided SQL Generation Model with Gumbel-Enhanced Graph Pruning

Abstract: Aiming to reduce the learning cost of database operations, Text-to-SQL methods provide a strategy of automatically generating structured query language (SQL), which is an active research ...
Frontiers

Large language models for closed-library multi-document query, test generation, and evaluation

Learning complex, detailed, and evolving knowledge is a challenge in multiple technical professions. Relevant source knowledge is contained within many large documents and information sources with ...