NanoEuler brings GPT-2-scale LLM training to pure C and CUDA

A developer built a minimal language model implementation in C and CUDA, proving you don't need PyTorch or heavyweight frameworks to train transformer-scale models from scratch. For makers exploring AI internals or constrained environments, this is a useful reference showing what's actually required under the hood.