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 ...

Capturing tribal knowledge organically and creating a living metadata store that informs every AI interaction with ...

The homelab that talks back.

Enterprise electronic health record (EHR) systems generate enormous volumes of clinical and administrative data every day.

Artificial intelligence does not exist in a vacuum. Behind every well-trained model, every accurate recommendation engine, ...

Conclusions: These findings identify a significant discrepancy between the billing of tobacco cessation services and the ...