KernelGPT: GPT Model Crammed into an OS Kernel, No Dependencies Allowed
Imagine training a GPT with a puny 32,000-word dataset, baked straight into an OS kernel. Ethan Zhang did it—no dependencies, no excuses.
⚡ Key Takeaways
- KernelGPT runs a full GPT in a stripped-down OS kernel using pure C and 32k words of data.
- Inspired by MicroGPT, it ditches all libraries, filesystems, and GUIs for ultimate minimalism.
- Highlights AI bloat issues; predicts rise of dependency-free models for edge and hobby use.
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Originally reported by Hackaday - AI