IEEE

To RAG or Not to RAG, That Is the Question: Effective Text-to-SQL Generation Under Ambiguity

Abstract: Natural language interfaces to databases promise to democratize data access, yet current Text-to-SQL systems fail to address a fundamental challenge: user questions are often ambiguous.
SiliconANGLE

Vast Data expands AI Operating System with global control plane, zero-trust agent framework and deeper Nvidia integration

Vast Data Inc. continues its evolution from a storage provider to an artificial intelligence infrastructure platform today with a series of announcements at its Forward 2026 conference, highlighted by ...
GitHub

SWIFT(Scalable lightWeight Infrastructure for Fine-Tuning)

SWIFT (Scalable lightWeight Infrastructure for Fine-Tuning) is an extensible framwork designed to faciliate lightweight model fine-tuning and inference. It integrates implementations for various ...
Hacker

SQL Server to AWS RDS Migration: The Good, the Bad, and Everything in Between

Database administrator with 14+ years of hands-on experience in database management and database design. I still remember the morning our CTO walked into our weekly team meeting and dropped the bomb: ...
IEEE

Fine-Tuning Gemma-2B for Text-to-SQL Generation

Abstract: Through this study, the concept of large language models (LLM) in the context of generative AI has been explored. Gemma-2B, with 4-bit quantization is fine-tuned to bridge the gap between ...
www.cs.cmu.edu

Yes, PostgreSQL Has Problems. But We’re Sticking With It!

Our previous blog article, “The Part of PostgreSQL We Hate the Most,” discussed the problems caused by everyone’s favorite street-strength DBMS multi-version concurrency control (MVCC) implementation.
www.cs.cmu.edu

The Part of PostgreSQL We Hate the Most

This article was written in collaboration with Bohan Zhang and originally appeared on the OtterTune website. In this article, we’ll dive into MVCC: what it is, how PostgreSQL does it, and why it is ...