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| Ch 1: Understanding Large Language Models | No code | No code |
| Ch 2: Working with Text Data | - [ch02.ipynb](ch02/01_main-chapter-code/ch02.ipynb)<br/>- [dataloader.ipynb](ch02/01_main-chapter-code/dataloader.ipynb) (summary)<br/>- [exercise-solutions.ipynb](ch02/01_main-chapter-code/exercise-solutions.ipynb) | [./ch02](./ch02) |
| Ch 3: Coding Attention Mechanisms | - [ch03.ipynb](ch03/01_main-chapter-code/ch03.ipynb)<br/>- [multihead-attention.ipynb](ch03/01_main-chapter-code/multihead-attention.ipynb) (summary) | [./ch03](./ch03) |
| Ch 4: Implementing a GPT Model from Scratch | ... | ... |
| Ch 5: Pretraining on Unlabeled Data | ... | ... |
| Ch 6: Finetuning for Text Classification | ... | ... |
| Ch 7: Finetuning with Human Feedback | ... | ... |
| Ch 8: Using Large Language Models in Practice | ... | ... |
| Ch 4: Implementing a GPT Model from Scratch | coming soon | ... |
| Ch 5: Pretraining on Unlabeled Data | Q1 2024 | ... |
| Ch 6: Finetuning for Text Classification | Q2 2024 | ... |
| Ch 7: Finetuning with Human Feedback | Q2 2024 | ... |
| Ch 8: Using Large Language Models in Practice | Q2/3 2024 | ... |
| Appendix A: Introduction to PyTorch* | - [code-part1.ipynb](appendix-A/03_main-chapter-code/code-part1.ipynb)<br/>- [code-part2.ipynb](appendix-A/03_main-chapter-code/code-part2.ipynb)<br/>- [DDP-script.py](appendix-A/03_main-chapter-code/DDP-script.py)<br/>- [exercise-solutions.ipynb](appendix-A/03_main-chapter-code/exercise-solutions.ipynb) | [./appendix-A](./appendix-A) |
(* Please see [this](appendix-A/01_optional-python-setup-preferences) and [this](appendix-A/02_installing-python-libraries) folder if you need more guidance on installing Python and Python packages.)