table-update

rasbt · May 4, 2024 · dddf872 · dddf872
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@@ -52,13 +52,13 @@ Alternatively, you can view this and other files on GitHub at [https://github.co
 | 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) <br/>- [exercise-solutions.ipynb](ch03/01_main-chapter-code/exercise-solutions.ipynb)| [./ch03](./ch03)              |
 | Ch 4: Implementing a GPT Model from Scratch                | - [ch04.ipynb](ch04/01_main-chapter-code/ch04.ipynb)<br/>- [gpt.py](ch04/01_main-chapter-code/gpt.py) (summary)<br/>- [exercise-solutions.ipynb](ch04/01_main-chapter-code/exercise-solutions.ipynb) | [./ch04](./ch04)           |
 | Ch 5: Pretraining on Unlabeled Data                        | - [ch05.ipynb](ch05/01_main-chapter-code/ch05.ipynb)<br/>- [gpt_train.py](ch05/01_main-chapter-code/gpt_train.py) (summary) <br/>- [gpt_generate.py](ch05/01_main-chapter-code/gpt_generate.py) (summary) <br/>- [exercise-solutions.ipynb](ch05/01_main-chapter-code/exercise-solutions.ipynb) | [./ch05](./ch05)              |
-| Ch 6: Finetuning for Text Classification                   | Q2 2024                                                                                                                         | ...                           |
+| Ch 6: Finetuning for Text Classification                   | - [ch06.ipynb](ch05/01_main-chapter-code/ch06.ipynb)                                                                            | [./ch06](./ch06)              |
 | 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/01_main-chapter-code/code-part1.ipynb)<br/>- [code-part2.ipynb](appendix-A/01_main-chapter-code/code-part2.ipynb)<br/>- [DDP-script.py](appendix-A/01_main-chapter-code/DDP-script.py)<br/>- [exercise-solutions.ipynb](appendix-A/01_main-chapter-code/exercise-solutions.ipynb) | [./appendix-A](./appendix-A) |
 | Appendix B: References and Further Reading                 | No code                                                                                                                         | -                             |
 | Appendix C: Exercise Solutions                             | No code                                                                                                                         | -                             |
 | Appendix D: Adding Bells and Whistles to the Training Loop | - [appendix-D.ipynb](appendix-D/01_main-chapter-code/appendix-D.ipynb)                                                          | [./appendix-D](./appendix-D)  |
+| Appendix E: Parameter-efficient Finetuning with LoRA       | - Q2 2024                                                                                                                       | ...                           |