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@@ -34,11 +34,11 @@ Alternatively, you can view this and other files on GitHub at [https://github.co
 | 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.)