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Everything AI/ML

A curated, browsable collection of learning resources covering generative AI, machine learning, agentic AI, retrieval-augmented generation, fine-tuning and MLOps.

Everything AI/ML

Everything AI/ML organizes links into an interactive cheatsheet spanning core machine learning concepts such as supervised and unsupervised learning, deep learning and natural language processing, through generative AI, prompt engineering, RAG, fine-tuning, agentic AI, MLOps and GenAIOps, AI security, and cloud AI/ML services.

It also gathers a learning roadmap, courses, certifications, books, research papers, tools and frameworks, video channels, blogs, communities, practice problems and interview preparation material, along with interactive visual explainers for concepts such as convolutional networks and the Transformer architecture.

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  • BootLife

    github.com

    Conway's Game of Life implemented to run directly from a 512-byte x86 boot sector in assembly, using VGA memory itself as the simulation grid.

  • A technical blog post deriving the Y combinator as a composition of combinator birds in an array language, and examining how eager evaluation changes fixed-point recursion compared with the usual lazy telling.

  • System Design Atlas

    atlas-sysdes.vercel.app

    A free reference of worked system design problems with interactive architecture diagrams, covering ranked designs such as a feed, a chat app, a URL shortener, and a rate limiter, plus pages on the technologies behind them.