Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/184171
Title: Code-documentation inconsistency checking for python data science libraries
Authors: Yeo, Vernon Jian Kai
Keywords: Computer and Information Science
Issue Date: 2025
Publisher: Nanyang Technological University
Source: Yeo, V. J. K. (2025). Code-documentation inconsistency checking for python data science libraries. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/184171
Project: CCDS24-0340
Abstract: This project aims to improve the output generation of the Generative Pre-trained Trans- former Large Language Model in the realm of mathematical logic. Cost-effectiveness and token efficiency are the main metrics of evaluation. Various prompt engineering techniques have been investigated, offering a detailed exploration of the pros and cons of each technique, as well as different large language models.
URI: https://hdl.handle.net/10356/184171
Schools: College of Computing and Data Science 
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:CCDS Student Reports (FYP/IA/PA/PI)

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