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VectorizationLLM: Smart Vectorization Based AI Assistant

arXiv 2607.07846 ↗First posted 8 Jul 2026cs.AI cs.CYcited by 0

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Abstract (arXiv)

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.

Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 4 of its 20 references that are in the map. First posted on arXiv 8 Jul 2026.

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References · 4

  1. 2023"Do Anything Now": Characterizing and Evaluating In-The-Wild Jailbreak Prompts on Large Language Modelscited by 457
  2. 2023Ragas: Automated Evaluation of Retrieval Augmented Generationcited by 408
  3. 2026Dive into Claude Code: The Design Space of Today's and Future AI Agent Systemscited by 33
  4. 2025Open WebUI: An Open, Extensible, and Usable Interface for AI Interactioncited by 5

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