VectorizationLLM: Smart Vectorization Based AI Assistant

[Submitted on 8 Jul 2026]

View PDF HTML (experimental)

Abstract:VectorizationLLM is a specialized Large Language Model based on Google open-weight LLMs. The model is designed to assist students to learn smart vectorization, time/wave vector analysis, piecewise functions, Fourier analysis, and differential equations in MATLAB. The course application is CTEC 247: Applied Computational Analysis II by the Department of Electrical & Computer Engineering Technology at New York Institute of Technology Old Westbury. The LLM model is designed to be an instructive assistant, providing detailed explanations of concepts with examples from in-class notes without providing direct answers to questions. The model is designed with a RAG (Retrieval Augmented Generation) knowledge base and system prompt architecture. Examples in both code, text, and images are provided in the LLM responses.

Submission history

From: Ryan Duke [view email]
[v1] Wed, 8 Jul 2026 18:27:39 UTC (4,584 KB)