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Leveraging generative AI and large language models: a comprehensive roadmap for healthcare integration
Generative artificial intelligence (AI) and large language models (LLMs), exemplified by
ChatGPT, are promising for revolutionizing data and information management in healthcare …
ChatGPT, are promising for revolutionizing data and information management in healthcare …
[HTML][HTML] Large language models in healthcare and medical domain: A review
The deployment of large language models (LLMs) within the healthcare sector has sparked
both enthusiasm and apprehension. These models exhibit the remarkable ability to provide …
both enthusiasm and apprehension. These models exhibit the remarkable ability to provide …
Auditing large language models: a three-layered approach
Large language models (LLMs) represent a major advance in artificial intelligence (AI)
research. However, the widespread use of LLMs is also coupled with significant ethical and …
research. However, the widespread use of LLMs is also coupled with significant ethical and …
Artificial intelligence for predictive maintenance applications: key components, trustworthiness, and future trends
Predictive maintenance (PdM) is a policy applying data and analytics to predict when one of
the components in a real system has been destroyed, and some anomalies appear so that …
the components in a real system has been destroyed, and some anomalies appear so that …
A review of current trends, techniques, and challenges in large language models (llms)
Natural language processing (NLP) has significantly transformed in the last decade,
especially in the field of language modeling. Large language models (LLMs) have achieved …
especially in the field of language modeling. Large language models (LLMs) have achieved …
Genegpt: Augmenting large language models with domain tools for improved access to biomedical information
Motivation While large language models (LLMs) have been successfully applied to various
tasks, they still face challenges with hallucinations. Augmenting LLMs with domain-specific …
tasks, they still face challenges with hallucinations. Augmenting LLMs with domain-specific …
14 examples of how LLMs can transform materials science and chemistry: a reflection on a large language model hackathon
Large-language models (LLMs) such as GPT-4 caught the interest of many scientists.
Recent studies suggested that these models could be useful in chemistry and materials …
Recent studies suggested that these models could be useful in chemistry and materials …
[HTML][HTML] Artificial intelligence-enabled intelligent assistant for personalized and adaptive learning in higher education
This paper presents a novel framework, artificial intelligence-enabled intelligent assistant
(AIIA), for personalized and adaptive learning in higher education. The AIIA system …
(AIIA), for personalized and adaptive learning in higher education. The AIIA system …
[HTML][HTML] Effects of generative chatbots in higher education
Learning technologies often do not meet the university requirements for learner engagement
via interactivity and real-time feedback. In addition to the challenge of providing …
via interactivity and real-time feedback. In addition to the challenge of providing …
Protein language models-assisted optimization of a uracil-N-glycosylase variant enables programmable T-to-G and T-to-C base editing
Y He, X Zhou, C Chang, G Chen, W Liu, G Li, X Fan… - Molecular Cell, 2024 - cell.com
Current base editors (BEs) use DNA deaminases, including cytidine deaminase in cytidine
BE (CBE) or adenine deaminase in adenine BE (ABE), to facilitate transition nucleotide …
BE (CBE) or adenine deaminase in adenine BE (ABE), to facilitate transition nucleotide …