Resources

Tutorials / Info

• ML Tutorials: https://machinelearningmastery.com/
• LLM Interpretability: https://www.neelnanda.io/mechanistic-interpretability/favourite-papers
• FDA guidelines: https://www.fda.gov/medical-devices/software-medical-device-samd/good-machine-learning-practice-medical-device-development-guiding-principles
• Transformers in Time Series: https://github.com/qingsongedu/time-series-transformers-review
• ChatGPT Leak: https://the-decoder.com/gpt-4-architecture-datasets-costs-and-more-leaked/

Books

• Machine Learning with Python Cookbook: https://www.oreilly.com/library/view/machine-learning-with/9781491989371/
• Deep Learning mit Python und Keras: https://www.amazon.de/-/en/Francois-Chollet/dp/3958458386
  
• Deep Learning by Ian Goodfellow: https://www.deeplearningbook.org/
  
• Probabilistic Machine Learning by Murphy: https://probml.github.io/pml-book/book1.html
  

People

• AI founder and influencer: https://www.ykilcher.com/
• Youtuber: https://www.youtube.com/@NicholasRenotte

Relevant papers

• Transformers: https://arxiv.org/abs/1706.03762
• KAN Networks: https://arxiv.org/abs/2404.19756
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