Search Results for author: Erkang Zhu

Found 3 papers, 3 papers with code

AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation

1 code implementation • 16 Aug 2023 • Qingyun Wu, Gagan Bansal, Jieyu Zhang, Yiran Wu, Beibin Li, Erkang Zhu, Li Jiang, Xiaoyun Zhang, Shaokun Zhang, Jiale Liu, Ahmed Hassan Awadallah, Ryen W White, Doug Burger, Chi Wang

AutoGen is an open-source framework that allows developers to build LLM applications via multiple agents that can converse with each other to accomplish tasks.

3D Human Pose Estimation College Computer Science +2

25,086

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Code

An Empirical Study on Challenging Math Problem Solving with GPT-4

1 code implementation • 2 Jun 2023 • Yiran Wu, Feiran Jia, Shaokun Zhang, Hangyu Li, Erkang Zhu, Yue Wang, Yin Tat Lee, Richard Peng, Qingyun Wu, Chi Wang

Employing Large Language Models (LLMs) to address mathematical problems is an intriguing research endeavor, considering the abundance of math problems expressed in natural language across numerous science and engineering fields.

Elementary Mathematics Math

25,086

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FLAML: A Fast and Lightweight AutoML Library

2 code implementations • 12 Nov 2019 • Chi Wang, Qingyun Wu, Markus Weimer, Erkang Zhu

We study the problem of using low computational cost to automate the choices of learners and hyperparameters for an ad-hoc training dataset and error metric, by conducting trials of different configurations on the given training data.

Hyperparameter Optimization

163

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Code

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