LLMGuard: Guarding against Unsafe LLM Behavior
DOI:
https://doi.org/10.1609/aaai.v38i21.30566Keywords:
Artificial IntelligenceAbstract
Although the rise of Large Language Models (LLMs) in enterprise settings brings new opportunities and capabilities, it also brings challenges, such as the risk of generating inappropriate, biased, or misleading content that violates regulations and can have legal concerns. To alleviate this, we present "LLMGuard", a tool that monitors user interactions with an LLM application and flags content against specific behaviours or conversation topics. To do this robustly, LLMGuard employs an ensemble of detectors.Downloads
Published
2024-03-24
How to Cite
Goyal, S., Hira, M., Mishra, S., Goyal, S., Goel, A., Dadu, N., DB, K., Mehta, S., & Madaan, N. (2024). LLMGuard: Guarding against Unsafe LLM Behavior. Proceedings of the AAAI Conference on Artificial Intelligence, 38(21), 23790-23792. https://doi.org/10.1609/aaai.v38i21.30566
Issue
Section
AAAI Demonstration Track