Computer Science > Artificial Intelligence
arXiv:2406.10847 (cs)
[Submitted on 16 Jun 2024 (v1), last revised 27 Oct 2024 (this version, v2)]
Title:TorchOpera: A Compound AI System for LLM Safety
Authors:Shanshan Han,Zijian Hu,Alay Dilipbhai Shah,Han Jin,Yuhang Yao,Dimitris Stripelis,Zhaozhuo Xu,Chaoyang He
View a PDF of the paper titled TorchOpera: A Compound AI System for LLM Safety, by Shanshan Han and 7 other authors
View PDFHTML (experimental)Abstract:We introduce TorchOpera, a compound AI system for enhancing the safety and quality of prompts and responses for Large Language Models. TorchOpera ensures that all user prompts are safe, contextually grounded, and effectively processed, while enhancing LLM responses to be relevant and high quality. TorchOpera utilizes the vector database for contextual grounding, rule-based wrappers for flexible modifications, and specialized mechanisms for detecting and adjusting unsafe or incorrect content. We also provide a view of the compound AI system to reduce the computational cost. Extensive experiments show that TorchOpera ensures the safety, reliability, and applicability of LLMs in real-world settings while maintaining the efficiency of LLM responses.
| Subjects: | Artificial Intelligence (cs.AI); Computational Engineering, Finance, and Science (cs.CE); Computation and Language (cs.CL); Multiagent Systems (cs.MA) |
| Cite as: | arXiv:2406.10847 [cs.AI] |
| (orarXiv:2406.10847v2 [cs.AI] for this version) | |
| https://doi.org/10.48550/arXiv.2406.10847 arXiv-issued DOI via DataCite |
Submission history
From: Shanshan Han [view email][v1] Sun, 16 Jun 2024 08:39:19 UTC (1,975 KB)
[v2] Sun, 27 Oct 2024 07:53:40 UTC (1,994 KB)
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View a PDF of the paper titled TorchOpera: A Compound AI System for LLM Safety, by Shanshan Han and 7 other authors
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