OpenAI launched its Data agent in ChatGPT Work, enabling natural-language queries across enterprise data sources like ...

"Find the best-selling product from last year." When an AI system attempts to answer a question like this by querying a ...

Find the best-selling product from last year." When an AI system attempts to answer a question like this by querying a company database, even a ...

PhD student Geonho Lee, first author, and Professor Min-Soo Kim, corresponding author. < The research team. From left ...

South Korean researchers have developed a technology that identifies and corrects only the flawed parts of AI-generated ...

The new context layer connects to existing SQL databases and builds a governed, model-agnostic foundation for AI agents running on live operational data, in weeks rather than years ...

■KAIST는 김민수 전산학부 교수팀이 오류 부분만 찾아 단계적으로 수정하는 인공지능(AI) 비서를 개발했다고 4일 밝혔다. AI에게 일상적인 말로 질문을 던지면 AI는 이 질문을 데이터베이스에서 원하는 정보를 찾는 컴퓨터 ...

When people talk about modernizing enterprise systems, the conversation almost always starts with a list of things to rip out ...

With customers asking increasingly complex questions of AI agents, Databricks is launching a model aimed at improving the accuracy of data retrieval systems.

The startup came out of stealth with $6 million in seed funding and a plan to use LLMs and cybersecurity know-how to make AI queries coherent.

Production study finds context graphs hold token usage nearly flat as query complexity rises, delivering up to 20X higher token ROI than traditional schema-injection approachesNEW YORK, Aug. (GLOBE ...

Large language models are miraculous tools until the cost hits you like a city bus. Fortunately, we have a few good levers to ...