ML八股FAQ 25年资料收集（包括CV NLP LLM相关）找工就业
快问快答的环节应该还是在tech面试中经常提问，或者讨论system design的时候经常会顺路问一下。
下面是今年做的功课。如果有哪些很好的资料遗漏，希望大家可以留言补充。
希望大家早日上岸。
ML-general 八股/快问快答
下面是今年做的功课。如果有哪些很好的资料遗漏，希望大家可以留言补充。
希望大家早日上岸。
ML-general 八股/快问快答
- https://northern-dracopelta-98c.notion.site/5b22e124e16d4b2d937940367ca20eb0?v=19feabb85e9e4b54bc498579b3c7f1c5
- https://github.com/nxpeng9235/MachineLearningFAQ/blob/main/bagu.md
- https://zhuanlan.zhihu.com/p/1899948583878394136
- https://zhuanlan.zhihu.com/p/1905945255196467231
- https://www.educatum.com/llm-and-genai-advanced-interview-questions
- Transformer八股 https://blog.51cto.com/u_16163510/11638970
- RAG 八股 https://www.cnblogs.com/jiangweiwang/p/18885922
- NLP 八股 https://github.com/NLP-LOVE/ML-NLP/tree/master?tab=readme-ov-file
- Vision八股 https://github.com/andrewekhalel/MLQuestions
- 3D / VR 八股 https://github.com/Liber-coder/CV_Notes
- https://www.coursera.org/specializations/deep-learning/
- https://www.coursera.org/specializations/machine-learning-introduction/
- https://github.com/karpathy/nn-zero-to-hero
- Stanford CS336 https://www.youtube.com/playlist?list=PLoROMvodv4rOY23Y0BoGoBGgQ1zmU_MT_
- Stanford CS231n https://cs231n.stanford.edu/schedule.html
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