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# Fine-Tuning Tips
This is a living document. These are all the resource links extracted from Akram's and my presentation titled "AI Model Security for Fine-Tuning and Training" in O'Reilly:
1. [LLMs from Scratch GitHub Repository ](https://github.com/rasbt/LLMs-from-scratch )
2. [LLM Fine-Tuning GitHub Repository ](https://github.com/meetrais/LLM-Fine-Tuning )
3. [Video: Introduction to Fine-Tuning Pre-trained Models ](https://www.youtube.com/watch?v=mrKuDK9dGlg )
4. [Article: Fine-Tuning Large Language Models ](https://towardsdatascience.com/fine-tuning-large-language-models-llms-23473d763b91 )
5. [Visualization: Domain Adaptation in NLP with LLM Fine Tuning - Medium ](https://medium.com )
6. [How Fine-Tuning Works for NLP Tasks – ](https://www.youtube.com )
7. [Addressing Bias in AI Models – ](https://www.youtube.com )
8. [Model Compression Visualization - ArXiv ](https://arxiv.org )
9. [Personalizing AI Models – ](https://www.youtube.com )
10. [Multilingual NLP Fine-Tuning – ](https://www.youtube.com )
11. [Hacker Repo ](https://hackerrepo.org )
12. [MITRE ATLAS ](https://atlas.mitre.org )
13. [OWASP GenAI ](https://genai.owasp.org )
14. [Becoming a Hacker (Explanation Article) ](https://becomingahacker.org/4a2e7d00cdee )
15. [SLM vs LLM (LinkedIn Article) ](https://www.linkedin.com/pulse/slm-vs-llm-battle-languages-models-codiste-pywxf )
16. [Unsloth AI GitHub Repository ](https://github.com/unslothai/unsloth )
17. [Colab Notebook for Fine-Tuning ](https://colab.research.google.com/drive/1EDZxsDVfgml4DlFdGCysAedXZmyBqBoE?usp=sharing )
18. [Unleashing the Power of Unsloth and QLora Blog ](https://huggingface.co/blog/Andyrasika/finetune-unsloth-qlora )
19. [Becoming a Hacker (Article) ](https://becomingahacker.org/1f332cf37e96 )
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20. https://github.com/tien02/llm-math
21. https://www.youtube.com/watch?v=wjZofJX0v4M
22. https://www.youtube.com/watch?v=eMlx5fFNoYc
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