ML Retreat: Advanced ML Learning Journal

Current Grind: Mechanistic Interpretability

This repository is my personal journal of learning advanced topics in machine learning. It includes an in-depth understanding of fundamentals + additional must-read/watch recourses for more nuanced subjects.

📝 My Notes

Build an LLM from Scratch	LLM Hallucination	LLM Edge: Beyond Attention
Introduction to GNNs	AlphaFold3: a machine learning look

📕 Table of Content

If you go to th Days Folder you can find a list of all the topics I have covered. However, for easier access to a specific subject, check out this table to find which days to go through.

Subject	Check out:
Large Language Models	from Day 003 to Day 016
Graph Neural Networks	from Day 017 to Day 022
AlphaFold 3	Day 23

🎯 Goals

My goals of this learning retreat includes studying:

• Ilya Sutskever's top 30 must-read research papers
• Most of Distilled AI's Blogs
• Artem Kirsanov's AI/ML Playlist
• Andrej Karpathy's golden Neural Net Playlist
• In-depth understanding/implementations of Transformers
• LLMs and related topics ✅
• LLM Halucination in depth ✅
• Quantum Machine Learning
• Jax
• Energy-Based Models