GitHub

SUB ai - Small Language Model

SUB-ai/ ├── README.md ├── requirements.txt ├── sub_ai.py # Unified AI interface ├── number_detector.py # Number detection module ├── chat_ai.py # Chat AI module ├── train.py # Number detection ...
IEEE

G-SQL: A Schema-Aware and Rule-Guided Approach for Robust Natural Language to SQL Translation

Abstract: This paper introduces G-SQL, a schema-aware and rule-guided framework for translating Natural Language Queries (NLQ) into SQL, designed to support users with limited technical expertise.
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 ...
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 ...
Bloomberg L.P.

Bloomberg’s AI Researchers Publish 7 Papers at EMNLP 2025

At the 2025 Conference on Empirical Methods in Natural Language Processing (EMNLP 2025) in Suzhou, China this week (November 4-9, 2025), researchers from Bloomberg’s AI Engineering group and its BLAW ...
Wall Street Journal

Large Language Models Get All the Hype, but Small Models Do the Real Work

There’s a paradox at the heart of modern AI: The kinds of sophisticated models that companies are using to get real work done and reduce head count aren’t the ones getting all the attention.
Redmond Magazine

PowerShell-Based SQL Server Backups Revisited, Part 2

Let's follow up the last column with a step-by-step breakdown shows how the PowerShell script automates SQL Server backups, manages retention, logs activity and verifies data integrity. In my first ...