Dicklesworthstone/bio_inspired_nanochat
A version of Karpathy's Nanochat that attempts to capture more biologically inspired structure.
This project is for AI researchers and neuroscientists exploring how large language models can learn and adapt more like a biological brain. It takes standard language model inputs and generates text, but its internal connections change and evolve during use, mimicking real biological processes. This allows for dynamic memory, attention, and growth, moving beyond the static nature of traditional models.
Use this if you are a researcher focused on novel neural network architectures, biologically inspired AI, or the computational mechanisms behind brain function, and want to explore language models that can adapt and 'learn' in real-time during inference.
Not ideal if you are looking for an off-the-shelf, production-ready language model for general applications or a simple tool for immediate text generation tasks.
Stars
45
Forks
7
Language
Python
License
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Category
Last pushed
Mar 12, 2026
Commits (30d)
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