Millions of users work with SQL to keep the gears of their business turning. In an era marked by relentless digital transformation, the proliferation of AI workloads, and tightening regulatory demands ...
Abstract: Generating accurate SQL from users’ natural language questions (text-to-SQL) remains a long-standing challenge due to the complexities involved in user question understanding, database ...
This project demonstrates a comprehensive data warehousing and analytics solution, from building a data warehouse to generating actionable insights. Designed as a portfolio project, it highlights ...
We thank Michael Benzaquen, Luis Bettencourt, Jordan Kemp, and Ruben Zakine for fruitful conversations. D.S.S., M.F., and Y.A. acknowledge support from a MRSEC-funded Kadanoff-Rice fellowship and the ...
A new kind of large language model, developed by researchers at the Allen Institute for AI (Ai2), makes it possible to control how training data is used even after a model has been built.
Abstract: This letter proposes a distributed server allocation model with single-database connectivity for delay-sensitive Internet-of-Things monitoring services. Based on preventive start-time ...
Guangdong Provincial Key Laboratory of Fermentation and Enzyme Engineering, Joint International Research Laboratory of Synthetic Biology and Medicine, Ministry of Education, Guangdong Provincial ...
Organizations are using generative AI to stay ahead of the competition, but the real advantage lies in harnessing the power of your own data securely and at scale. One of the most exciting new ...
The era of Agentic AI is here. These intelligent, autonomous systems are poised to revolutionize how businesses operate, capable of executing complex, multi-step tasks with minimal human intervention.
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