well-being ↔ Large Language Models

Relations (1)

related 0.20 — supporting 2 facts

Large Language Models are related to well-being as they require robust methodologies for consistency, reliability, explainability, and safety before deployment in sensitive domains including well-being [1], and enforcement of consistency in Large Language Models is underexplored in health and well-being applications [2].

Facts (2)

Sources

Building Trustworthy NeuroSymbolic AI Systems - arXiv arxiv.org arXiv 2 facts

perspectiveThe authors argue that the necessity of establishing a robust methodology for ensuring consistency, reliability, explainability, and safety is critical before deploying Large Language Models in sensitive domains such as healthcare and well-being.

claimThe enforcement of consistency in Large Language Models remains relatively unexplored, particularly in the context of health and well-being applications.