The rapid advancement of Generative AI (GenAI), particularly large language models (LLMs), has significantly reshaped how individuals and organizations engage in decision-making. From customer service and education to strategic planning and design, these technologies are no longer limited to providing …

The widespread adoption of generative agents (GAs) is reshaping the healthcare landscape. Nonetheless, broad utilization is impeded by restricted access to high-quality, interoperable clinical documentation from electronic health records (EHRs) due to persistent legal, ethical, and technical barriers. …

Introduction: Oral health care of older people in long-term care facilities is insufficient, stressing the need for clear evidence-based implementation strategies to improve oral care. In 2013, a systematic review was performed and new evidence was published. This study aimed to gain insights into implementation …

This paper presents a generative large language model (LLM)- guided approach to detect discursive patterns in Dutch social media.

There are many good reasons to use synthetic data instead of real data for research purposes. These reasons may range from the business sensitiveness of real data to increased cost of collecting real data in accordance with GDPR requirements. In this paper, we elaborate upon the potentials of the Large …

De digitalisering van de gezondheidszorg is door de pandemie en de snelle ontwikkeling van talige AI waarschijnlijk behoorlijk versneld. De geestelijke gezondheidszorg staat wereldwijd onder toenemende druk door enerzijds een groeiende vraag naar therapieën en anderzijds een tekort aan zorgverleners. …

We present an industry use case in which we discuss the practical use of a formal list of definitions. The list of definitions will be used as a basis for a knowledge graph that will serve knowledge panels when interacting with information in the company and that will help improve question answering …

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Post-training quantization reduces the computational demand of Large Language Models (LLMs) but can weaken some of their capabilities. Since LLM abilities emerge with scale, smaller LLMs are more sensitive to quantization. In this paper, we explore how quantization affects smaller LLMs’ ability to perform …