Language models (Artificial intelligence)

Artificial intelligence

Artificial Intelligence in Medical Education: Balancing Efficiency and Integrity

Researchers at the University of New South Wales have explored the implications of generative artificial intelligence (GenAI) and large language models in medical education, highlighting the tension between educational efficiency and personalization, and the importance of authentic assessment, academic integrity, and regulatory considerations. Key Takeaways: * The study emphasizes the need

Machine learning

Benchmarking Open-Source Large Language Models for Phishing URL Detection

Researchers from Universitas Islam Riau, in collaboration with international colleagues, have conducted a comprehensive benchmarking study of 21 state-of-the-art open-source large language models (LLMs) for phishing URL detection. According to the study, large open-source LLMs (27B parameters) achieve performance exceeding 90% F1-score without fine-tuning, closely matching proprietary models. The research

Artificial intelligence

Breakthrough in Artificial Intelligence: Researchers Develop Automated Pruning Framework for Large Language Models

Researchers from Kasetsart University have made a significant advancement in artificial intelligence by developing an automated pruning framework for large language models. The new framework uses combinatorial optimization to reduce the size of these models, making them more efficient and less resource-intensive. The study, published in the journal AI, demonstrates

Artificial intelligence

Artificial Intelligence Revolutionizes Neurology: Population Health Strategies and Emerging Technologies

Researchers at Massachusetts General Hospital have revealed new insights into the expanding role of population health strategies in neurology, emphasizing systemic approaches that address neurological health at a community-wide level. The study highlights the transformative potential of artificial intelligence (AI) and large language models (LLMs) in predicting and preventing neurological