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Microgpt

microgpt

karpathy.github.io

March 1, 2026

28 min read

🔥🔥🔥🔥🔥

82/100

Summary

microgpt is a single-file Python script consisting of 200 lines that implements a GPT-like model with no dependencies. It includes components such as a dataset, tokenizer, autograd engine, neural network architecture, Adam optimizer, and both training and inference loops.

Key Takeaways

  • microgpt is a single-file Python project that implements a GPT-like neural network with no dependencies, consisting of 200 lines of code.
  • The model is trained on a dataset of 32,000 names to learn patterns and generate new, plausible-sounding names.
  • A simple tokenizer is used to convert text into integer token IDs, assigning unique IDs to each character in the dataset.
  • The project is available as a GitHub gist, a web page, and a Google Colab notebook for users to explore the code.
Read original article

Coverage & discussions

Hacker News · karpathy.github.io

Microgpt ↗

Community discussions

Hacker News discussion ↗

Historical count: 5 · 5 saved in sample · Historical sample

Analysis ready

Community Sentiment

Mixed

Positives

  • The project encourages a deep understanding of the AI pipeline, revealing the mechanics behind matrix multiplications and gradient computations, which is crucial for developing effective models.
  • Implementing a simplified model allows for clearer insights into the attention mechanism, enhancing comprehension of its functionality beyond theoretical knowledge.

Concerns

  • There is a desire for more detailed explanations of the code, indicating that the current documentation may not fully support users in understanding the implementation.

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