Paper List

Below is a list of papers (and other resources) that I found helpful when learning a subject
― Richie Goulazian

Machine Learning & Mathematics

AI

Introductory:

Transformers:

LLMs:

Fine-Tuning:

Mixture of Experts (MoE):

Augmented LLMs:

OpenAI o1 & Test-Time Compute:

Model Deployment:

Quantization:

Embedding Models:

Evaluation:

Diffusion:

State Space Models:

Distributed Systems