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Content tagged with "machine learning" (3)

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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.