Representation engineering: A top-down approach to ai transparency
In this paper, we identify and characterize the emerging area of representation engineering
(RepE), an approach to enhancing the transparency of AI systems that draws on insights …
(RepE), an approach to enhancing the transparency of AI systems that draws on insights …
Can generalist foundation models outcompete special-purpose tuning? case study in medicine
Generalist foundation models such as GPT-4 have displayed surprising capabilities in a
wide variety of domains and tasks. Yet, there is a prevalent assumption that they cannot …
wide variety of domains and tasks. Yet, there is a prevalent assumption that they cannot …
[HTML][HTML] Generative language models and open notes: exploring the promise and limitations
Patients' online record access (ORA) is growing worldwide. In some countries, including the
United States and Sweden, access is advanced with patients obtaining rapid access to their …
United States and Sweden, access is advanced with patients obtaining rapid access to their …
Development of a liver disease-Specific large language model chat Interface using retrieval augmented generation
J Ge, S Sun, J Owens, V Galvez, O Gologorskaya… - Hepatology, 2024 - journals.lww.com
Background: Large language models (LLMs) have significant capabilities in clinical
information processing tasks. Commercially available LLMs, however, are not optimized for …
information processing tasks. Commercially available LLMs, however, are not optimized for …
Surveying Attitudinal Alignment Between Large Language Models Vs. Humans Towards 17 Sustainable Development Goals
Large Language Models (LLMs) have emerged as potent tools for advancing the United
Nations' Sustainable Development Goals (SDGs). However, the attitudinal disparities …
Nations' Sustainable Development Goals (SDGs). However, the attitudinal disparities …
Large language models in medical and healthcare fields: applications, advances, and challenges
D Wang, S Zhang - Artificial Intelligence Review, 2024 - Springer
Large language models (LLMs) are increasingly recognized for their advanced language
capabilities, offering significant assistance in diverse areas like medical communication …
capabilities, offering significant assistance in diverse areas like medical communication …
How susceptible are llms to logical fallacies?
This paper investigates the rational thinking capability of Large Language Models (LLMs) in
multi-round argumentative debates by exploring the impact of fallacious arguments on their …
multi-round argumentative debates by exploring the impact of fallacious arguments on their …
Leveraging generative AI for clinical evidence synthesis needs to ensure trustworthiness
Evidence-based medicine promises to improve the quality of healthcare by empowering
medical decisions and practices with the best available evidence. The rapid growth of …
medical decisions and practices with the best available evidence. The rapid growth of …
Mixed methods assessment of the influence of demographics on medical advice of ChatGPT
K Andreadis, DR Newman, C Twan… - Journal of the …, 2024 - academic.oup.com
Objectives To evaluate demographic biases in diagnostic accuracy and health advice
between generative artificial intelligence (AI)(ChatGPT GPT-4) and traditional symptom …
between generative artificial intelligence (AI)(ChatGPT GPT-4) and traditional symptom …
The LLM Will See You Now: Performance of ChatGPT on the Brazilian Radiology and Diagnostic Imaging and Mammography Board Examinations
H Trivedi, J Wawira Gichoya - Radiology: Artificial Intelligence, 2024 - pubs.rsna.org
Hari Trivedi, MD, is an assistant professor at Emory University in emergency radiology,
biomedical informatics, and emergency medicine. He co-directs the HITI (Healthcare AI …
biomedical informatics, and emergency medicine. He co-directs the HITI (Healthcare AI …