In this tutorial, we describe the iterative, data-based development and evaluation of an intersectionality-informed large language model designed to support patient teaching in this population.

Build your first fully functional, Java-based AI agent using familiar Spring conventions and built-in tools from Spring AI.

Elk Marketing reports YouTube is dominating AI search, citing it more than traditional publishers, due to its structured, machine-readable data. This shift demands publishers adapt to new content form ...

Abstract: Tackling the information retrieval gap between non-technical database end-users and those with the knowledge of formal query languages has been an interesting area of data management and ...

The Digital Credentials Query Language (DCQL) is very relevant to the EU Digital Identity Wallet (EUDI Wallet) ecosystem. As banks will start asking for verifiable credentials needed - for example in ...

New natural-language query engine combines AI, vector search, and retrieval-augmented generation to deliver accurate, cited answers across structured and unstructured data Seattle-Tacoma, WA, ...

Objective: Our objective was to evaluate employing Large Language Models (LLMs) to systematically transform the rich, unstructured textual data from AskDocs into a structured dataset, an approach that ...

CHICAGO, Oct. 01, 2025 (GLOBE NEWSWIRE) -- Alation Inc., the data intelligence company, today announced Alation Agent Builder, a next-generation AI platform that gives enterprises the ability to ...

Abstract: This paper mainly focuses on the implementation of Marathi Language Query Interface (MLQI) for a Geographical Information System (GIS) based database system. In this paper, we discuss the ...