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 …

Quite literally, our title marks the perspective we worked out for this article. What is the value of creativity if anyone can generate 1000 ideas at the touch of a button? And how do artists and designers that create at the forefront of digital art and design maintain and develop this value? How do …

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. …

"While integrating Large Language Models (LLMs) can provide personalised, continuous feedback at scale in large courses, doing so responsibly requires technical accuracy and data privacy. In this study, we present an on-premises, privacy-preserving chatbot tutor for a university course that focuses on …

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Large language models in healthcare: from vision to practicePromoting innovation through multi-stakeholder perspectivesArtificial intelligence (AI)-driven language models offer unprecedented opportunities for innovation and optimisation. Delve into the transformative impact of Large Language Models (LLMs) …

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 …

Wynand Alkema vertelt over het gebruik van ChatGPT in het ontwikkelen van nieuwe medicijnen. Een samenvatting van het praatje is hieronder weergegeven:The FAIR use of Large Language Models in the drug development pipeline.With the emergence of applications that are based on large language models (LLMs), …

This final installment in our e-learning series offers a comprehensive look at the current impact and future potential of data science across industries. Using real-world examples like medical image analysis and operational efficiencies at Rotterdam The Hague Airport, we showcase data science’s transformative …

We examine the ideological differences in the debate surrounding large language models (LLMs) and AI regulation, focusing on the contrasting positions of the Future of Life Institute (FLI) and the Distributed AI Research (DAIR) institute. The study employs a humanistic HCI methodology, applying narrative …