Leveraging generative AI and large Language models: a Comprehensive Roadmap for Healthcare Integration

P Yu, H Xu, X Hu, C Deng - Healthcare, 2023 - mdpi.com
Generative artificial intelligence (AI) and large language models (LLMs), exemplified by
ChatGPT, are promising for revolutionizing data and information management in healthcare …

An interdisciplinary outlook on large language models for scientific research

J Boyko, J Cohen, N Fox, MH Veiga, JI Li, J Liu… - arXiv preprint arXiv …, 2023 - arxiv.org
In this paper, we describe the capabilities and constraints of Large Language Models
(LLMs) within disparate academic disciplines, aiming to delineate their strengths and …

Building trustworthy NeuroSymbolic AI Systems: Consistency, reliability, explainability, and safety

M Gaur, A Sheth - AI Magazine, 2024 - Wiley Online Library
Explainability and Safety engender trust. These require a model to exhibit consistency and
reliability. To achieve these, it is necessary to use and analyze data and knowledge with …

A Collaborative Multi-Agent Approach to Retrieval-Augmented Generation Across Diverse Data

A Salve, S Attar, M Deshmukh, S Shivpuje… - arXiv preprint arXiv …, 2024 - arxiv.org
Retrieval-Augmented Generation (RAG) enhances Large Language Models (LLMs) by
incorporating external, domain-specific data into the generative process. While LLMs are …