30 citations · 33 across the 8 of their papers we have counts for
5 papers · 1 filter
Toward Super Agent System with Hybrid AI Routers
Yuhang Yao, Haixin Wang, Yibo Chen +5
AI Agents powered by Large Language Models are transforming the world through enormous applications. A super agent has the potential to fulfill diverse user needs, such as summariz…
Bridging the Safety Gap: A Guardrail Pipeline for Trustworthy LLM Inferences
Shanshan Han, Salman Avestimehr, Chaoyang He
We present Wildflare GuardRail, a guardrail pipeline designed to enhance the safety and reliability of Large Language Model (LLM) inferences by systematically addressing risks acro…
Alopex: A Computational Framework for Enabling On-Device Function Calls with LLMs
Yide Ran, Zhaozhuo Xu, Yuhang Yao +9
The rapid advancement of Large Language Models (LLMs) has led to their increased integration into mobile devices for personalized assistance, which enables LLMs to call external AP…
TensorOpera Router: A Multi-Model Router for Efficient LLM Inference
Dimitris Stripelis, Zijian Hu, Jipeng Zhang +6
With the rapid growth of Large Language Models (LLMs) across various domains, numerous new LLMs have emerged, each possessing domain-specific expertise. This proliferation has high…
TorchOpera: A Compound AI System for LLM Safety
Shanshan Han, Zijian Hu, Alay Dilipbhai Shah +5
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…