From 91db4e3a0fe0779909200c8f4b87a04ebc6e5fcf Mon Sep 17 00:00:00 2001 From: Sebastian Raschka Date: Thu, 5 Sep 2024 08:09:33 +0200 Subject: [PATCH] Revert nbviewer links --- README.md | 19 ++++++++++--------- 1 file changed, 10 insertions(+), 9 deletions(-) diff --git a/README.md b/README.md index 53cd1f0..0340a51 100644 --- a/README.md +++ b/README.md @@ -51,6 +51,7 @@ You can alternatively view this and other files on GitHub at [https://github.com > [!TIP] > If you're seeking guidance on installing Python and Python packages and setting up your code environment, I suggest reading the [README.md](setup/README.md) file located in the [setup](setup) directory. +

[![Code tests (Linux)](https://github.com/rasbt/LLMs-from-scratch/actions/workflows/basic-tests-linux.yml/badge.svg)](https://github.com/rasbt/LLMs-from-scratch/actions/workflows/basic-tests-linux.yml) @@ -65,17 +66,17 @@ You can alternatively view this and other files on GitHub at [https://github.com |------------------------------------------------------------|---------------------------------------------------------------------------------------------------------------------------------|-------------------------------| | [Setup recommendations](setup) | - | - | | Ch 1: Understanding Large Language Models | No code | - | -| Ch 2: Working with Text Data | - [ch02.ipynb](https://nbviewer.org/github/rasbt/LLMs-from-scratch/blob/main/ch02/01_main-chapter-code/ch02.ipynb)
- [dataloader.ipynb](https://nbviewer.org/github/rasbt/LLMs-from-scratch/blob/main/ch02/01_main-chapter-code/dataloader.ipynb) (summary)
- [exercise-solutions.ipynb](https://nbviewer.org/github/rasbt/LLMs-from-scratch/blob/main/ch02/01_main-chapter-code/exercise-solutions.ipynb) | [./ch02](./ch02) | -| Ch 3: Coding Attention Mechanisms | - [ch03.ipynb](https://nbviewer.org/github/rasbt/LLMs-from-scratch/blob/main/ch03/01_main-chapter-code/ch03.ipynb)
- [multihead-attention.ipynb](https://nbviewer.org/github/rasbt/LLMs-from-scratch/blob/main/ch03/01_main-chapter-code/multihead-attention.ipynb) (summary)
- [exercise-solutions.ipynb](https://nbviewer.org/github/rasbt/LLMs-from-scratch/blob/main/ch03/01_main-chapter-code/exercise-solutions.ipynb)| [./ch03](./ch03) | -| Ch 4: Implementing a GPT Model from Scratch | - [ch04.ipynb](https://nbviewer.org/github/rasbt/LLMs-from-scratch/blob/main/ch04/01_main-chapter-code/ch04.ipynb)
- [gpt.py](https://nbviewer.org/github/rasbt/LLMs-from-scratch/blob/main/ch04/01_main-chapter-code/gpt.py) (summary)
- [exercise-solutions.ipynb](https://nbviewer.org/github/rasbt/LLMs-from-scratch/blob/main/ch04/01_main-chapter-code/exercise-solutions.ipynb) | [./ch04](./ch04) | -| Ch 5: Pretraining on Unlabeled Data | - [ch05.ipynb](https://nbviewer.org/github/rasbt/LLMs-from-scratch/blob/main/ch05/01_main-chapter-code/ch05.ipynb)
- [gpt_train.py](https://nbviewer.org/github/rasbt/LLMs-from-scratch/blob/main/ch05/01_main-chapter-code/gpt_train.py) (summary)
- [gpt_generate.py](https://nbviewer.org/github/rasbt/LLMs-from-scratch/blob/main/ch05/01_main-chapter-code/gpt_generate.py) (summary)
- [exercise-solutions.ipynb](https://nbviewer.org/github/rasbt/LLMs-from-scratch/blob/main/ch05/01_main-chapter-code/exercise-solutions.ipynb) | [./ch05](./ch05) | -| Ch 6: Finetuning for Text Classification | - [ch06.ipynb](https://nbviewer.org/github/rasbt/LLMs-from-scratch/blob/main/ch06/01_main-chapter-code/ch06.ipynb)
- [gpt_class_finetune.py](https://nbviewer.org/github/rasbt/LLMs-from-scratch/blob/main/ch06/01_main-chapter-code/gpt_class_finetune.py)
- [exercise-solutions.ipynb](https://nbviewer.org/github/rasbt/LLMs-from-scratch/blob/main/ch06/01_main-chapter-code/exercise-solutions.ipynb) | [./ch06](./ch06) | -| Ch 7: Finetuning to Follow Instructions | - [ch07.ipynb](https://nbviewer.org/github/rasbt/LLMs-from-scratch/blob/main/ch07/01_main-chapter-code/ch07.ipynb)
- [gpt_instruction_finetuning.py](https://nbviewer.org/github/rasbt/LLMs-from-scratch/blob/main/ch07/01_main-chapter-code/gpt_instruction_finetuning.py) (summary)
- [ollama_evaluate.py](https://nbviewer.org/github/rasbt/LLMs-from-scratch/blob/main/ch07/01_main-chapter-code/ollama_evaluate.py) (summary)
- [exercise-solutions.ipynb](https://nbviewer.org/github/rasbt/LLMs-from-scratch/blob/main/ch07/01_main-chapter-code/exercise-solutions.ipynb) | [./ch07](./ch07) | -| Appendix A: Introduction to PyTorch | - [code-part1.ipynb](https://nbviewer.org/github/rasbt/LLMs-from-scratch/blob/main/appendix-A/01_main-chapter-code/code-part1.ipynb)
- [code-part2.ipynb](https://nbviewer.org/github/rasbt/LLMs-from-scratch/blob/main/appendix-A/01_main-chapter-code/code-part2.ipynb)
- [DDP-script.py](https://nbviewer.org/github/rasbt/LLMs-from-scratch/blob/main/appendix-A/01_main-chapter-code/DDP-script.py)
- [exercise-solutions.ipynb](https://nbviewer.org/github/rasbt/LLMs-from-scratch/blob/main/appendix-A/01_main-chapter-code/exercise-solutions.ipynb) | [./appendix-A](./appendix-A) | +| Ch 2: Working with Text Data | - [ch02.ipynb](ch02/01_main-chapter-code/ch02.ipynb)
- [dataloader.ipynb](ch02/01_main-chapter-code/dataloader.ipynb) (summary)
- [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)
- [multihead-attention.ipynb](ch03/01_main-chapter-code/multihead-attention.ipynb) (summary)
- [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)
- [gpt.py](ch04/01_main-chapter-code/gpt.py) (summary)
- [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)
- [gpt_train.py](ch05/01_main-chapter-code/gpt_train.py) (summary)
- [gpt_generate.py](ch05/01_main-chapter-code/gpt_generate.py) (summary)
- [exercise-solutions.ipynb](ch05/01_main-chapter-code/exercise-solutions.ipynb) | [./ch05](./ch05) | +| Ch 6: Finetuning for Text Classification | - [ch06.ipynb](ch06/01_main-chapter-code/ch06.ipynb)
- [gpt_class_finetune.py](ch06/01_main-chapter-code/gpt_class_finetune.py)
- [exercise-solutions.ipynb](ch06/01_main-chapter-code/exercise-solutions.ipynb) | [./ch06](./ch06) | +| Ch 7: Finetuning to Follow Instructions | - [ch07.ipynb](ch07/01_main-chapter-code/ch07.ipynb)
- [gpt_instruction_finetuning.py](ch07/01_main-chapter-code/gpt_instruction_finetuning.py) (summary)
- [ollama_evaluate.py](ch07/01_main-chapter-code/ollama_evaluate.py) (summary)
- [exercise-solutions.ipynb](ch07/01_main-chapter-code/exercise-solutions.ipynb) | [./ch07](./ch07) | +| Appendix A: Introduction to PyTorch | - [code-part1.ipynb](appendix-A/01_main-chapter-code/code-part1.ipynb)
- [code-part2.ipynb](appendix-A/01_main-chapter-code/code-part2.ipynb)
- [DDP-script.py](appendix-A/01_main-chapter-code/DDP-script.py)
- [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](https://nbviewer.org/github/rasbt/LLMs-from-scratch/blob/main/appendix-D/01_main-chapter-code/appendix-D.ipynb) | [./appendix-D](./appendix-D) | -| Appendix E: Parameter-efficient Finetuning with LoRA | - [appendix-E.ipynb](https://nbviewer.org/github/rasbt/LLMs-from-scratch/blob/main/appendix-E/01_main-chapter-code/appendix-E.ipynb) | [./appendix-E](./appendix-E) | +| 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 | - [appendix-E.ipynb](appendix-E/01_main-chapter-code/appendix-E.ipynb) | [./appendix-E](./appendix-E) |