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Jiasi Chen

Associate Professor of Electrical Engineering and Computer Science and Associate Professor of Computer Science and Engineering, Department of Electrical Engineering and Computer Science, College of Engineering

machine learning for computer systems

One project my group worked on is cost-efficient use of large language models (LLMs). Recently, there has been a proliferation of LLMs by multiple providers, each with different inference accuracy, monetary cost, and latency. If a user has a finite monetary budget and wants to use LLMs to solve a series of problems, how should they allocate their dollars across diverse LLMs? We propose a reinforcement learning approach, TREACLE, that learns which LLMs to choose, intelligently trading off accuracy for cost. This work appeared in NeurIPS 2024.

I started off as a undergraduate studying biomedical engineering.

I have a diploma in piano performance.

I love traditional Chinese lion dance and used to perform all over New York City during university.