One of the bottlenecks in getting value out of generative AI is the difficulty in turning natural language into SQL queries. Without detailed contextual understanding of the data, the text is ...

Google Cloud’s lead engineer for databases discusses the challenges of integrating databases and LLMs, the tools needed to ...

Kinetica began offering a ChatGPT interface earlier this year, but company executives said database query accuracy can be a problem with the open Gen AI technology and customers have expressed ...

Kinetica, the real-time database for analytics and generative AI, is launching Quick Start, a large language model (LLM)-based solution that converts natural language to SQL on enterprise data.

Kinetica, the speed layer for generative AI and real-time analytics, is integrating with a native large language model (LLM) that enables consumers to use natural language to perform ad-hoc analysis ...

Citing privacy and security concerns over public large language models, Kinetica is adding a self-developed LLM for generating SQL queries from natural language prompts to its relational database for ...

While data warehouses and cloud-native architectures have grown rapidly, business users are still finding it difficult to reach enterprise data. Even as dashboards and query tools become easier to use ...

Microsoft has found a new use for natural language processing capabilities in machine learning large language models (LLMs): SQL queries. The company has set up a sandbox for developers and data pros ...

Large language models (LLMs) have exploded onto the scene in the last few years but how secure are they and can their responses being manipulated? IBM takes a closer look at the potential security ...