Graduate Research Assistant and Global PhD Candidate
Affiliation: NYU Abu Dhabi
Education: BA Pomona College; PhD NYU Tandon / NYUAD
Research Areas: Large manguage models; faster inference; multi-modal LLMs
Boyuan Chen is a PhD candidate studying faster inference for large language models. He graduated from Pomona College in USA with computer science and math double major. He is interested in the fields of large language models and faster inference.
My research is centered on optimizing the inference time of large language models (LLMs), particularly in the context of code generation, to reduce operational costs and improve user experience through reduced latency. Feel free to reach out to me for collaborations and ideas (I have a lot of computing resources).