English

VectorizationLLM: Smart Vectorization Based AI Assistant

Artificial Intelligence 2026-07-08 v1 Computers and Society

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.

Cite

@article{arxiv.2607.07846,
  title  = {VectorizationLLM: Smart Vectorization Based AI Assistant},
  author = {Ryan Duke},
  journal= {arXiv preprint arXiv:2607.07846},
  year   = {2026}
}

Comments

44 pages, 6 figures