S3LLM: Large-Scale Scientific Software Understanding with LLMs using Source, Metadata, and Document

1 code implementation • 15 Mar 2024 • Kareem Shaik, Dali Wang, Weijian Zheng, Qinglei Cao, Heng Fan, Peter Schwartz, Yunhe Feng

S3LLM demonstrates the potential of using locally deployed open-source LLMs for the rapid understanding of large-scale scientific computing software, eliminating the need for extensive coding expertise, and thereby making the process more efficient and effective.

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