hesamsheikh/ml-retreat
A personal journal documenting learning of advanced ML topics including LLMs, mechanistic interpretability, GNNs, and NLP through study notes.

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This repository is a personal machine learning learning journal covering intermediate to advanced topics. It includes detailed study notes on building LLMs from scratch, LLM hallucination, mechanistic interpretability, graph neural networks, AlphaFold3, and natural language processing fundamentals. Content is organized as daily learning sessions with compiled PDF notes and visual resources for each subject area.