7 stories tagged Database
Developer Damien Charlotin created a public database documenting AI hallucination incidents, aiming to improve transparency and accountability in AI systems by recording errors, context, and patterns.
DeepSQL warns that while connecting a large language model (LLM) to a production database is straightforward, revoking that access is surprisingly difficult because LLMs retain learned data. This creates persistent security and compliance risks for companies using AI tools.
Researchers introduced AutoThinkSQL, a framework that trains AI models to decide when to use complex reasoning and when to skip it for Text-to-SQL tasks, reducing inference time on simple queries without sacrificing accuracy on complex ones.
Researchers developed a method to make AI-generated database queries more accurate. This could help everyday users get better results when asking AI to pull data from complex systems.
Tabularis is a new open-source desktop app that lets you manage databases with SQL. It also supports AI agents, making database management easier for non-experts. This could change how people interact with databases, especially for those who aren't familiar with SQL.
The Atlantic has created a searchable database of music used to train AI models. Reporter Alex Reisner uncovered four datasets, including two massive collections of 12 million and 9 million tracks, offering unprecedented transparency into AI's musical influences.
Models.dev is a free, open-source database that compares AI models by specs, pricing, and performance. It helps users choose the best model for their needs without sifting through technical jargon.