Resources

This page is a list of wonderful books, articles and courses that I found myself or that have been recommended to me by friends/colleagues across the years

Retrieval Augmented Generation (RAG)

• RAG in 85 lines of code https://docs.zenml.io/user-guide/llmops-guide/rag-with-zenml/rag-85-loc
• RAG on text, tables & images in PDFs and other documents https://blog.langchain.dev/semi-structured-multi-modal-rag/

Large Language Models (LLMs)

• Build a Large Language Model From Scratch by Sebastian Raschka

Deep Learning

• Dive into Deep Learning
• Fast AI course (which I discovered on HN https://news.ycombinator.com/item?id=40866311)
• deeplearning.ai courses
• Hugging Face Transformers library docs https://huggingface.co/docs/transformers/en/index
• deeplearningbook.org
• paperswithcode.com
• distill.pub

Machine Learning

• An Introduction To Statistical Learning https://www.statlearning.com
• Email Signature Detection
• Paul Graham’s popular A Plan for Spam article on using Bayesian Filtering for Spam Detection

Ruby / Ruby on Rails

• Programming Ruby, also known as “The Pickaxe book”
• The Rails 7 Way
• The RSpec Book

Design

• refactoringui.com
• Designing Web Applications (by Nathan Barry)

JavaScript

• Mozilla Developer Network (MDN) JavaScript Reference
• JavaScript: The Good Parts

Computer Science

• Structure and Interpretation of Computer Programs

Programming Languages & Compilers

• Compilers: Principles, Techniques, and Tools, also known as “The Dragon book”
• craftinginterpreters.com
• Ruby Under a Microscope - An Illustrated Guide to Ruby Internals

Productivity

• Your Brain at Work

Business

• Zero to One

Fiction

• Animal Farm by George Orwell