chensi-cs/LLM-Interview-Guidebook
本仓库是一份面向大模型算法工程师的面试宝典，系统梳理了大模型的核心知识点，帮助读者快速掌握大模型面试中的重点和难点
This guidebook helps aspiring Large Language Model (LLM) algorithm engineers prepare for job interviews. It takes complex LLM concepts, like Transformer architecture, optimization techniques, and model training, and breaks them down into an organized, easy-to-understand format. The output is a structured understanding of core LLM knowledge points and practical interview questions, used by those seeking roles in the LLM development field.
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Use this if you are an algorithm engineer preparing for interviews in the Large Language Model domain and need a comprehensive review of core concepts and common interview questions.
Not ideal if you are looking for a deep dive into advanced research topics in LLMs or hands-on coding tutorials for building LLMs from scratch.
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