This repository provides a comprehensive learning path from traditional natural language processing to large language models. It covers fundamental NLP concepts like RNNs and BERT, then progresses through transformer architectures, fine-tuning techniques, and modern LLM systems including LLaMA, Qwen, and LoRA. The content is delivered through Jupyter notebooks and includes practical implementations using PyTorch.