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[ARTICLE · art-53624] src=arxiv.org ↗ pub= topic=large-language-models verified=true sentiment=· neutral

VectorizationLLM: Smart Vectorization Based AI Assistant

Researchers at New York Institute of Technology Old Westbury developed VectorizationLLM, a specialized large language model based on Google's open-weight LLMs, to assist students in learning vectorization, Fourier analysis, and differential equations in MATLAB. The model uses a RAG knowledge base and system prompt architecture to provide explanations and examples without giving direct answers. It is designed for the course CTEC 247: Applied Computational Analysis II.

read1 min views1 publishedJul 10, 2026

arXiv:2607.07846v1 Announce Type: new 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.

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