Abstract: Text-to-SQL is the task of converting a natural language utterance plus the corresponding database schema into a SQL program. The inputs naturally form a heterogeneous graph while the output ...

Editor’s Note: This post is focused on helping you understand profit and loss statements. This financial statement is used by most small business owners to help assess business profits and losses ...

From reproductive rights to climate change to Big Tech, The Independent is on the ground when the story is developing. Whether it's investigating the financials of Elon Musk's pro-Trump PAC or ...

Researchers from MIT, Northeastern University, and Meta recently released a paper suggesting that large language models (LLMs) similar to those that power ChatGPT may sometimes prioritize sentence ...

Is your feature request related to a problem or challenge? There are some features, such as table sampling, that are challenging to add to DataFusion The reason it is challenging is that I think the ...

Snowflake wants to reduce enterprises’ reliance on data engineers and data scientists for unstructured data analysis with its new SQL functions powered by generative AI. Snowflake is adding generative ...

Community driven content discussing all aspects of software development from DevOps to design patterns. The goal of Hibernate and JPA is to hide the complexity of SQL and relational databases from the ...

Your vision statement is your hope for the future – an inspiring, futuristic thought that's memorable in its simplicity. You wouldn't guess it by reading most businesses' vision statements – including ...

When crafting a resume, one of the key elements that can set you apart from other candidates is a compelling resume objective statement. A well-written objective not only outlines your career goals ...

Current methodologies for Text-to-SQL primarily rely on deep learning models, particularly Sequence-to-Sequence (Seq2Seq) models, which have become mainstream due to their ability to map natural ...