VentureBeat

Table-augmented generation shows promise for complex dataset querying, outperforms text-to-SQL

AI has transformed the way companies work and interact with data. A few years ago, teams had to write SQL queries and code to extract useful information from large swathes of data. Today, all they ...
Forbes

Text-To-SQL: Making Enterprise Data More Accessible To Users

While data warehouses and cloud-native architectures have grown rapidly, business users are still finding it difficult to reach enterprise data. Even as dashboards and query tools become easier to use ...
InfoWorld

How to use GPT as a natural language to SQL query engine

Thanks to the technology behind ChatGPT, it’s become surprisingly simple to query a data set in plain English. As with most generative AI, results from OpenAI’s API are still imperfect, which means ...
EurekAlert!

A cost-effective text-to-SQL approach based on adaptive refinement

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 ...
InfoWorld

6 generative AI Python projects to run now

Get a hands-on introduction to generative AI with these Python-based coding projects using OpenAI, LangChain, Matplotlib, SQLAlchemy, Gradio, Streamlit, and more. Sure, there are LLM-powered websites ...