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The Notebook

AI Notebook

I prepared these notes for myself to understand core AI concepts easily. I find it easier when maths is accompanied by visual examples. So I drafted these with Claude and then went through each one to fix the parts that were wrong or unclear.

4 Topics
17 Posts
~393m Total Read
Topics
Reinforcement Learning

Reinforcement Learning

Policy gradients, value-based methods, and the full post-training pipeline. PPO, DPO, GRPO, Q-learning, and …

8 posts
LLM

LLM

Transformer internals and the ideas that make large language models work. Attention, positional encoding, …

6 posts
Deep Learning

Deep Learning

The mechanics underneath every training run. Optimizers, loss landscapes, gradient flow, and the tricks that …

1 post
Generative Modeling

Generative Modeling

How to build models that generate. Diffusion from first principles — DDPM, score matching, SDEs, DDIM — and …

2 posts