Explore advanced techniques in artificial intelligence with particular regard for large language models. Progress from the basics in natural language processing to the implementation of a transformer-based model and the fine-tuning of models. Cover both theoretical aspects and practical applications through general slides and Jupyter notebooks, with a focus on the training, quantization, fine-tuning, and analysis of large language models.