
The article discusses training Language Models like GPT-2 in C/CUDA without the heavy dependencies of frameworks like PyTorch, using minimal code for efficiency and simplicity. It also covers the process of fine-tuning with pre-trained weights and provides a unit test for verifying the C implementation against PyTorch.