Solution generation for university math problems using large language models

Solution generation for university math problems using large language models

This study assesses the capabilities of cutting-edge Large Language Models (LLMs) including GPT-3.5 Turbo, GPT-4, and Gemini Pro in solving university-level math problems, with a focus on enhancing both accuracy and comprehensive explanation generation to aid in mathematical reasoning education....

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Bibliographic Details
Main Author: Wirja, Louis
Other Authors: Owen Noel Newton Fernando
Format: Final Year Project (FYP)
Language:English
Published: Nanyang Technological University 2024
Subjects:
Computer and Information Science
Large language models
Generative AI
Deep learning
Transformers
Machine learning
Prompt engineering
Online Access:https://hdl.handle.net/10356/175331

Internet

https://hdl.handle.net/10356/175331

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