THE NOTEBOOK

Writing & notes

Research papers, ideas, and things learned while building.

How I Built a Research Assistant

The Proxy Trap in AI Training

From Imitation to World Models

Claude's Architecture

Diffusion LLM Mercury 2

Prompt Repetition: A Surprisingly Simple Way To Boost LLM Accuracy

Using Interpretability to Identify a Novel Class of Alzheimer's Biomarkers

Alphabet’s Ascent to the Top

What Pulled Me Into the AI

LLMs explained: mathematically and in plain english

Paper: LLMs are Invertible

Thought: Google Should Win

Thought: Are We Summoning Ghosts or Building Animals? (RL vs LLMs)

Machine Learning for Healthcare - MIT 6.S897

Building a High-Quality RAG Application

DL 2021-2025 Research Papers

DL 2018-2021 Research Papers

Ilya Sutskever Research Papers 3

Ilya Sutskever Research Papers 2

Ilya Sutskever Research Papers 1

Deep Learning Algorithms 4: Generative & Advanced Architectures

Deep Learning Algorithms 3: Sequence Models

Deep Learning Algorithms 2: Computer Vision Architectures

Deep Learning Algorithms 1: Fundamentals

Machine Learning Algorithms 4: Ensemble Methods

Machine Learning Algorithms 3: Reinforcement Learning

Machine Learning Algorithms 2: Unsupervised Learning

Machine Learning Algorithms 1: Supervised Learning

Deep Learning for Computer Vision - Stanford CS231N

Language Modeling from Scratch - Stanford CS336

Foundation Models and Generative AI - MIT 6.S087

Reinforcement Learning - Stanford CS234

Machine Learning - Stanford CS229

Algorithms - MIT 6.006

Mathematics for Computer Science - MIT 6.1200J

Statistics for Applications - MIT 18.650

Fine-Tuning LLMs for Investment-Grade Company Classification