VectorizationLLM: Smart Vectorization Based AI Assistant

VectorizationLLM：基于智能向量化的 AI 助手

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. VectorizationLLM 是一款基于 Google 开源权重大型语言模型（LLM）的专用模型。该模型旨在辅助学生学习 MATLAB 中的智能向量化、时间/波形向量分析、分段函数、傅里叶分析以及微分方程。

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. 该模型应用于纽约理工学院奥尔德韦斯特伯里分校（New York Institute of Technology Old Westbury）电气与计算机工程技术系的 CTEC 247 课程：应用计算分析 II。

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. 该 LLM 模型被设计为教学助手，通过课堂笔记中的示例提供概念的详细解释，但不会直接给出问题的答案。

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. 该模型采用了 RAG（检索增强生成）知识库和系统提示词架构。LLM 的回复中包含了代码、文本和图像形式的示例。