GitHub

Beauty Ops Agent

A resume-oriented beauty operations decision Agent with a tested business backend, analytics, RAG, controlled Text-to-SQL, workflow orchestration, deterministic evaluation, privacy-safe observability, ...
acm.org

If You Think You Can Do Real-World Text-to-SQL

Data warehouses are often subject to a preponderance of ad-hoc queries. They came into existence in the 1990s to support historical data stores of customer-facing data, especially sales data. At that ...
marktechpost

Feyn AI Releases SQRL, a Text-to-SQL Model Family That Inspects the Database Before Writing a Query

Most text-to-SQL systems treat the task as translation. Feyn AI (YC-backed startup) reframes it around inspection. The Feyn team has released SQRL, a family of models that turn natural language ...
InfoQ

AlloyDB Ships Proxy Models That Replace LLM Calls with Local Inference inside the Database

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...
marktechpost

Google Releases Gemini-SQL2: Gemini 3.1 Pro Text-to-SQL Scores 80.04% on BIRD Single-Model Leaderboard

Google Research team has announced the launch of Gemini-SQL2 on X. They described this system as a breakthrough text-to-SQL capability powered by Gemini 3.1 Pro. Gemini-SQL2 posted 80.04% execution ...
Ars Technica

Millions of AI agents imperiled by critical vulnerability in open source package

Millions of AI agents and tools around the world have been imperiled by a critical vulnerability that can allow hackers to breach the servers running them and make off with sensitive data and ...
IEEE

Evaluating Large Language Models for Generating YouTube Programming Tutorial Metadata From Video Transcripts

YouTube programming tutorials are widely used by developers, yet their metadata (titles and descriptions) is often generic, incomplete, or dominated by promotional content. In this paper, we ...
IEEE

SQL vs NoSQL Database Models: Performance, Scalability, and Application Suitability

Abstract: With the growth of the volume and the variability of the data in this modern world, organizations are challenged by the decision over which database management system (DBMS) to implement for ...
Hacker

Weekend Project: I Built a Full MLOps Pipeline for a Credit Scoring Model (And You Can Too)

A hands-on, beginner-friendly guide to deploying, monitoring, and optimizing a Machine Learning model in production — from API creation to data drift detection, using the real Home Credit Default Risk ...
Hacker

From SQL Analytics to Predictive Decision Systems: Operationalizing ML Models in Business Operation

For most organizations, the analytics journey started with SQL. A data analyst would write a query, pull aggregated numbers into a spreadsheet, and share a report with leadership every Monday morning.
GitHub

debanjan-mondal-2005/Sentiment_Analyzer

Sentiment Slang Analyzer is an advanced machine learning application designed to analyze sentiment in social media text that contains slang, abbreviations, and informal language. The system leverages ...