Introduction to LLMs: Lecture Slides and Notebooks

A lecture series on how large language models work, from tokenization to pre-training and fine-tuning. Each session has slides, and the hands-on parts are in the accompanying Jupyter notebooks.

• 07. Tokenizers
• 08. Neural Language Models: RNN to LSTM
• 09. Transformers Decoder-only (GPT)
• 10. Encoder-only (BERT) and Seq2seq (T5)
• 11. Pre-Training and Fine-Tuning
• 12. Experiment Reproducibility and NLP Debugging