Summary of Building Guardrails For Large Language Models, by Yi Dong et al.
Building Guardrails for Large Language Models
by Yi Dong, Ronghui Mu, Gaojie Jin, Yi Qi, Jinwei Hu, Xingyu Zhao, Jie Meng, Wenjie Ruan, Xiaowei Huang
First submitted to arxiv on: 2 Feb 2024
Categories
- Main: Computation and Language (cs.CL)
- Secondary: Artificial Intelligence (cs.AI)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary Medium Difficulty summary: Large Language Models (LLMs) have become integral in our daily lives, but it’s essential to address their risks, which can significantly impact human users and societies. Guardrails, filtering inputs or outputs, are a crucial safeguarding technology. This position paper examines current open-source solutions (Llama Guard, Nvidia NeMo, Guardrails AI), highlighting challenges and the path towards building complete guardrail solutions. Drawing on robust evidence from previous research, we advocate for a systematic approach to construct guardrails for LLMs, considering diverse contexts across various applications. We propose employing socio-technical methods with a multi-disciplinary team to identify precise technical requirements, leveraging advanced neural-symbolic implementations and verification/testing to ensure the final product’s quality. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary Low Difficulty summary: As we use Large Language Models more in our daily lives, it’s important to think about the risks they might cause. These models can have big effects on people and societies. One way to deal with these risks is by using something called guardrails. Guardrails are like filters that control what goes in or out of the model. This paper looks at some open-source solutions (like Llama Guard, Nvidia NeMo, and Guardrails AI) and talks about the challenges we face when building better ones. We think it’s important to take a step-by-step approach and work with experts from different fields to make sure our guardrails are safe and effective. |
Keywords
» Artificial intelligence » Llama
