diff --git a/README.md b/README.md
index 0f118d8..ebbb298 100644
--- a/README.md
+++ b/README.md
@@ -19,21 +19,20 @@ The method described in this book for training and developing your own small-but
-## Table of Contents
+
+# Table of Contents
Please note that the `Readme.md` file is a Markdown (`.md`) file. If you have downloaded this code bundle from the Manning website and are viewing it on your local computer, I recommend using a Markdown editor or previewer for proper viewing. If you haven't installed a Markdown editor yet, MarkText[https://www.marktext.cc](https://www.marktext.cc) is a good free option.
Alternatively, you can view this and other files on GitHub at [https://github.com/rasbt/LLMs-from-scratch](https://github.com/rasbt/LLMs-from-scratch).
-
-
-| Chapter | Main code | Code + supplementary |
+| Chapter title | Main code | Code + supplementary |
| ----------------------------------------- | ------------------------------------------------------------ | ---------------------------- |
| 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)
[dataloader.ipynb](ch02/01_main-chapter-code/dataloader.ipynb) | [./ch02](./ch02) |
-| Ch 3: Understanding Attention Mechanisms | [ch03.ipynb](ch03/01_main-chapter-code/ch03.ipynb)
[multihead-attention.ipynb](ch03/01_main-chapter-code/multihead-attention.ipynb) | [./ch03](./ch03) |
+| Ch 2: Working with Text Data | All chapter code: [ch02.ipynb](ch02/01_main-chapter-code/ch02.ipynb)
Chapter takeaway: [dataloader.ipynb](ch02/01_main-chapter-code/dataloader.ipynb)
[exercise-solutions.ipynb](ch02/01_main-chapter-code/exercise-solutions.ipynb) | [./ch02](./ch02) |
+| Ch 3: Understanding Attention Mechanisms | All chapter code: [ch03.ipynb](ch03/01_main-chapter-code/ch03.ipynb)
Chapter takeaway: [multihead-attention.ipynb](ch03/01_main-chapter-code/multihead-attention.ipynb) | [./ch03](./ch03) |
| ... | ... | ... |
-| Appendix A: Introduction to PyTorch | [code-part1.ipynb](03_main-chapter-code/01_main-chapter-code/code-part1.ipynb)
[code-part2.ipynb](03_main-chapter-code/01_main-chapter-code/code-part2.ipynb)
[DDP-script.py](03_main-chapter-code/01_main-chapter-code/DDP-script.py) | [./appendix-A](./appendix-A) |
+| Appendix A: Introduction to PyTorch | Code up to GPU training: [code-part1.ipynb](03_main-chapter-code/01_main-chapter-code/code-part1.ipynb)
GPU training sections: [code-part2.ipynb](03_main-chapter-code/01_main-chapter-code/code-part2.ipynb)
Multi-GPU training script: [DDP-script.py](03_main-chapter-code/01_main-chapter-code/DDP-script.py)
[exercise-solutions.ipynb](https://github.com/rasbt/LLMs-from-scratch/blob/main/appendix-A/03_main-chapter-code/exercise-solutions.ipynb) | [./appendix-A](./appendix-A) |
@@ -41,3 +40,4 @@ Alternatively, you can view this and other files on GitHub at [https://github.co
(A mental model summarizing the contents covered in this book.)
+
diff --git a/appendix-A/03_main-chapter-code/code-part1.ipynb b/appendix-A/03_main-chapter-code/code-part1.ipynb
index e431c24..39e3f2e 100644
--- a/appendix-A/03_main-chapter-code/code-part1.ipynb
+++ b/appendix-A/03_main-chapter-code/code-part1.ipynb
@@ -1215,8 +1215,16 @@
"id": "9d049a81-5fb0-49b5-9d6a-17a9976d8520",
"metadata": {},
"source": [
- "See [code-part3.py](code-part3.py)"
+ "See [DDP-script.py](DDP-script.py)"
]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "b32db94f-f159-4aa3-91cc-5b937eef7fc7",
+ "metadata": {},
+ "outputs": [],
+ "source": []
}
],
"metadata": {
diff --git a/ch03/01_main-chapter-code/ch03.ipynb b/ch03/01_main-chapter-code/ch03.ipynb
index f5abca5..f1e54be 100644
--- a/ch03/01_main-chapter-code/ch03.ipynb
+++ b/ch03/01_main-chapter-code/ch03.ipynb
@@ -1823,7 +1823,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
- "version": "3.11.4"
+ "version": "3.10.6"
}
},
"nbformat": 4,