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AI for Business
San Diego State University

The research focus is to apply the pre-training techniques of Large Language Models to the encoding process of the Code Search Project, to improve the existing model and develop a new code searching model. The assistant shall explore a transformer or equivalent model (such as GPT-3.5) with fine-tuning, which can help achieve state-of-the-art performance for NLP tasks. The research also aims to test and evaluate various state-of-the-art models to find the most promising ones.

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People with Expertise

Chimdia Kabuo

Indiana University-Purdue University Fort Wayne

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ACCESS CSSN

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student-facilitator, cssn

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Renos Zabounidis

Carnegie Mellon University

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Campus Champions

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research computing facilitator

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Michael Puerrer

University of Rhode Island

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Campus Champions, Northeast

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research computing facilitator

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Vedang Chauhan

Western New England University

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Northeast

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mentor, researcher/educator

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Alexandra Lamtyugina

University of Chicago

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ACCESS CSSN

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student-facilitator

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Nihar Biradar

Rutgers University

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CAREERS

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student-facilitator

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