all AI news
Large Language Models in Fire Engineering: An Examination of Technical Questions Against Domain Knowledge
March 11, 2024, 4:41 a.m. | Haley Hostetter, M. Z. Naser, Xinyan Huang, John Gales
cs.LG updates on arXiv.org arxiv.org
Abstract: This communication presents preliminary findings from comparing two recent chatbots, OpenAI's ChatGPT and Google's Bard, in the context of fire engineering by evaluating their responses in handling fire safety related queries. A diverse range of fire engineering questions and scenarios were created and examined, including structural fire design, fire prevention strategies, evacuation, building code compliance, and fire suppression systems (some of which resemble those commonly present in the Fire Protection exam (FPE)). The results reveal …
abstract arxiv bard chatbots chatgpt communication context cs.ai cs.cl cs.lg diverse domain domain knowledge engineering fire google knowledge language language models large language large language models openai queries questions responses safety technical type
More from arxiv.org / cs.LG updates on arXiv.org
Jobs in AI, ML, Big Data
Data Architect
@ University of Texas at Austin | Austin, TX
Data ETL Engineer
@ University of Texas at Austin | Austin, TX
Lead GNSS Data Scientist
@ Lurra Systems | Melbourne
Senior Machine Learning Engineer (MLOps)
@ Promaton | Remote, Europe
Director, Clinical Data Science
@ Aura | Remote USA
Research Scientist, AI (PhD)
@ Meta | Menlo Park, CA | New York City