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Content tagged with "machine learning" (5)

All content across blogs, linklog, and books with this tag.

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  • by Andrej Karpathy

    You implement backprop, attention, and a GPT from scratch with no frameworks, and by the end you actually understand what the machine is doing instead of just calling library functions.

  • 2025 LLM Year in Review
    by Andrej Karpathy

    Karpathy's dense, opinionated survey of everything that changed in language models over 2025, written by someone who has built these systems himself.

  • by Jay Alammar

    The clearest visual explanation of how Transformers actually work, from self-attention to positional encodings, now referenced by courses at Stanford, Harvard, and MIT.

  • by Andrej Karpathy

    Karpathy builds an autograd engine from nothing, one line at a time, until backprop is something you could re-derive yourself instead of a formula you take on faith.

  • by Anthropic

    Anthropic's interpretability team looks inside the model and catches it planning several words ahead and reasoning in a concept space shared across languages.