yobibyte

yobibyte / ansigpt

Public

microgpt in ANSI C

15
0
100% credibility
Found Feb 25, 2026 at 13 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
C
AI Summary

A compact C program that trains a minuscule neural network on a list of names to generate new fictional names.

How It Works

1
🔍 Discover the project

You find a fun GitHub project that builds a tiny brain to invent new names by learning from a list of real ones.

2
📥 Grab the names list

Download a simple text file full of common names from the link provided in the instructions.

3
💻 Get the program ready

Place the files on your computer and use a quick build script to prepare the name-making program.

4
▶️ Start the magic

Run the program, and it begins studying the names, printing progress as it learns over a thousand steps.

5
🧠 Watch it create

The tiny AI brain trains up and starts dreaming up new names, showing loss dropping and samples appearing.

🎉 Enjoy funny names

Celebrate as it generates batches of silly, made-up names like 'Zorble' or 'Klingara' that feel surprisingly real.

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AI-Generated Review

What is ansigpt?

Ansigpt is an ANSI C take on Karpathy's microgpt, packing a tiny transformer language model into a single standalone binary. Drop in a names.txt dataset, build with gcc, and run: it trains on character-level baby names then generates new ones via autoregressive sampling. Developers get a no-frills way to run and tweak GPT basics without Python deps or heavy ML stacks.

Why is it gaining traction?

It stands out by ditching frameworks for raw C speed and portability—compiles to a 100KB binary that trains in seconds on any machine. The hook? Recreate microgpt's magic in pure ANSI C, perfect for peeking under ML hoods without runtime bloat. Low overhead means it embeds anywhere Python can't.

Who should use this?

Embedded engineers needing lightweight ML inference on microcontrollers. C enthusiasts reverse-engineering transformers from Karpathy talks. Students or hobbyists prototyping char-level models before scaling to real hardware.

Verdict

Fun educational toy with 10 stars and 1.0% credibility—README flags rough edges like manual data fetches and author admits C novice status, so expect segfault hunts. Skip for production; grab if you want a C microgpt weekend hack.

(178 words)

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