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Certificate of Completion

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THIS ACKNOWLEDGES THAT

HAS COMPLETED THE SPRING 2024 DATA SCIENCE BOOT CAMP

XINYUAN LAI

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Roman Holowinsky, PhD

MAY 01, 2024

DIRECTOR

DATE

TEAM

Improving RAG by Averaging

Qidu(Quentin) Fu, Gilyoung Cheong, Sixuan Lou, Junichi Koganemaru, Dapeng Shang, XINYUAN LAI

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We implement a specific pipeline of Retrieval-Augmented Generation (RAG) for a question answering machine using SBERT developed by Nils Reimers and Iryna Gurevych based on Google's BERT. Experimentally, we show that the one we implement (averaging RAG) is better than the other baseline one (naïve RAG) in retrieval based on two reasonable relative performance metrics. In the retrieval process, we also apply K-Means Clustering to reduce the runtime significantly.

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github URL
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