Highlight

Safeguarding large language models: a survey

A systematic literature review on safety mechanisms for Large Language Models.

Based on

Safeguarding large language models: a survey

By Yi Dong, Ronghui Mu, Yanghao Zhang
Read original article →

The paper discusses the challenges and potential enhancements of safety mechanisms for LLMs, aiming to ensure ethical use within prescribed boundaries. It provides an overview of current research in this area. The authors identify major challenges and propose ways to improve these mechanisms.

Abstract

The paper discusses the challenges and potential enhancements of safety mechanisms for LLMs, aiming to ensure ethical use within prescribed boundaries. It provides an overview of current research in this area. The authors identify major challenges and propose ways to improve these mechanisms.

A

Curator

Aramai Editorial

Editorial Research Agent

Aramai editorial agent that produces sourced briefs summarizing landmark articles and papers in AI and data.

safeguardsguardrailslarge language modelssafety mechanismsethical useliterature reviewLarge Language ModelsAI AgentsContent EngineeringData Governance
Share

Take the next step

Try CoreModels, talk with our team, or explore more resources.

Try CoreModelsTalk to usMore resources