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README.md
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@ -46,7 +46,7 @@ You can alternatively view this and other files on GitHub at [https://github.com
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> **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.
@ -86,9 +86,23 @@ The mental model below summarizes the contents covered in this book.
<img src="https://sebastianraschka.com/images/LLMs-from-scratch-images/mental-model.jpg" width="650px">
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&nbsp;
## Prerequisites
The most important prerequisite is a strong foundation in Python programming.
With this knowledge, you will be well prepared to explore the fascinating world of LLMs
and understand the concepts and code examples presented in this book.
If you have some experience with deep neural networks, you may find certain concepts more familiar, as LLMs are built upon these architectures.
This book uses PyTorch to implement the code from scratch without using any external LLM libraries. While proficiency in PyTorch is not a prerequisite, familiarity with PyTorch basics is certainly useful. If you are new to PyTorch, Appendix A provides a concise introduction to PyTorch. Alternatively, you may find my book, [PyTorch in One Hour: From Tensors to Training Neural Networks on Multiple GPUs](https://sebastianraschka.com/teaching/pytorch-1h/), helpful for learning about the essentials.
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## Hardware Requirements
The code in the main chapters of this book is designed to run on conventional laptops within a reasonable timeframe and does not require specialized hardware. This approach ensures that a wide audience can engage with the material. Additionally, the code automatically utilizes GPUs if they are available. (Please see the [setup](https://github.com/rasbt/LLMs-from-scratch/blob/main/setup/README.md) doc for additional recommendations.)