AIR-hl/llm-interview-code
LLM面试常见手撕合集
This project provides practical, hands-on code examples for common algorithms and components found in Large Language Models (LLMs). It helps developers prepare for technical interviews by offering ready-to-use implementations of core LLM concepts. You get direct code snippets and Jupyter notebooks demonstrating how various LLM parts work, which can be used to quickly understand or review key functionalities for coding challenges.
248 stars.
Use this if you are a developer preparing for technical interviews related to Large Language Models and need to practice implementing their core components.
Not ideal if you are an end-user looking for a high-level tool to apply LLMs without needing to understand or implement their internal workings.
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248
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6
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Jupyter Notebook
License
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Last pushed
Feb 03, 2026
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