Excel is my database, Python is my brain.

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 ...

According to Andrej Karpathy, MicroGPT has been further simplified into a three‑column Python implementation illustrating the irreducible essence of a GPT-style transformer, as posted on X on February ...

Abstract: Text-to-SQL is a task of synthesizing SQL queries from utterances. Most existing approaches of text-to-SQL rarely utilize tables to guide the prediction of SQL query. We present a novel ...

Why is the language developers and DBAs use to organize data such a mess? Here are 13 reasons we wish we could quit SQL, even though we probably won't. For all its popularity and success, SQL is a ...

Never get the hang of a SQL parser? SQLLineage comes to the rescue. Given a SQL command, SQLLineage will tell you its source and target tables, without worrying about Tokens, Keyword, Identifier and ...

A new SQL Server 2025 feature lets organizations run vector-based semantic searches on their own data, connecting to local or cloud-hosted AI models without relying on massive general-purpose LLMs. I ...

End‑to‑End DWBI Project Overview Built a scalable, maintainable pipeline—from data modeling through synthetic data generation and automated Snowflake ingestion to interactive Power BI dashboards—using ...

This tutorial will guide you through the process of using SQL databases with Python, focusing on MySQL as the database management system. You will learn how to set up your environment, connect to a ...