hesamsheikh/ml-retreat

Curated deep-dive notes spanning LLMs, graph neural networks, and mechanistic interpretability, organized sequentially across daily study modules with accompanying PDFs on specialized topics like LLM hallucination and attention mechanisms. Synthesizes foundational knowledge with curated resources from canonical sources (Sutskever's top papers, Karpathy's neural networks playlist, Distilled AI), providing structured progression from fundamentals to advanced implementations including Transformers and emerging areas like quantum ML.

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