---
product_id: 635180026
title: "Build a Large Language Model (From Scratch)"
price: "KD 25.54"
currency: KWD
in_stock: null
reviews_count: 13
url: https://www.desertcart.com.kw/products/635180026-build-a-large-language-model-from-scratch
store_origin: KW
region: Kuwait
---

# Build a Large Language Model (From Scratch)

**Price:** KD 25.54
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## Description

Build a Large Language Model (From Scratch) [Raschka, Sebastian] on desertcart.com. *FREE* shipping on qualifying offers. Build a Large Language Model (From Scratch)

Review: Amazing book. Exceeded my expectations! - The book is amazing. Much better than I expected. I was minimally familiar with neural networking techniques (finished 6-months course on Coursera, and by now have forgotten most of it). So, I had a vague idea about forward and backward propagation, remembered such terms as dropout, normalization etc. without actually remembering their meaning. From the Andrew Ng course I remembered the term "transformer" (since he had a few good introductory explanations of it), but by now I completely forgot how it works. My knowledge of Python was very limited (and mostly forgotten). I knew nothing about PyTorch. When I saw the references to the book on Facebook, I decided that it might be helpful for me to recall these concepts, and especially interesting was to learn the concept of transformers and self-attention which I knew belong to the foundation of modern LLMs. The book exceeded my expectations. It is written in an excellent methodical style. Introduces concepts one by one, helps experimenting with them in the real code. It provided an excellent introduction to PyTorch (in Appendix A, which the author recommended to consume before reading the rest of the book). The introduction is short, not overwhelming the reader with millions potential concepts of the huge ecosystem of Python and PyTorch, and still sufficient for productive consuming the entire book that uses both. All the concepts are defined in easy-to-consume steps, leading eventually to a complete overall understanding of GPT model. I am not naive to think that I can develop LLMs by myself now, but I definitely got more than expected. And enjoyed the material a lot. I did not use the code from GitHub (by the book's reference). Instead, I meticulously re-entered all the examples from the book's text into several Jupyter Notebooks in VSCode. This way I moved a bit slower but understood material better. Even found a few minor (typo-level) issues in the code. I am working on an ordinary Surface Book (no GPU), and all examples work instantaneously so far (obviously, it will change when I come to training). I am now in the position after chapter 4: Built the untrained GPT model and cannot wait when I will start training and using it. Highly recommend the book to everyone who wants to make their hands "dirty" with the AI.
Review: Must have for serious learners - This book is an absolute masterpiece. The writer knows how to present complex concepts in simple, absorbable ways. From concepts to labs/demoes, he makes you feel like you’re sitting in an ivy league class. The companion YouTube channel is the icing on the cake. I highly recommend this for anyone interested in learning the fundamentals of ML

## Technical Specifications

| Specification | Value |
|---------------|-------|
| Best Sellers Rank | #4,959 in Books ( See Top 100 in Books ) #1 in Computer Neural Networks #2 in Data Processing #2 in Python Programming |
| Customer Reviews | 4.5 4.5 out of 5 stars (451) |
| Dimensions  | 7.38 x 0.7 x 9.25 inches |
| ISBN-10  | 1633437167 |
| ISBN-13  | 978-1633437166 |
| Item Weight  | 1.35 pounds |
| Language  | English |
| Print length  | 368 pages |
| Publication date  | October 29, 2024 |
| Publisher  | Manning |

## Images

![Build a Large Language Model (From Scratch) - Image 1](https://m.media-amazon.com/images/I/71eljkULtwL.jpg)

## Customer Reviews

### ⭐⭐⭐⭐⭐ Amazing book. Exceeded my expectations!
*by E***V on October 12, 2025*

The book is amazing. Much better than I expected. I was minimally familiar with neural networking techniques (finished 6-months course on Coursera, and by now have forgotten most of it). So, I had a vague idea about forward and backward propagation, remembered such terms as dropout, normalization etc. without actually remembering their meaning. From the Andrew Ng course I remembered the term "transformer" (since he had a few good introductory explanations of it), but by now I completely forgot how it works. My knowledge of Python was very limited (and mostly forgotten). I knew nothing about PyTorch. When I saw the references to the book on Facebook, I decided that it might be helpful for me to recall these concepts, and especially interesting was to learn the concept of transformers and self-attention which I knew belong to the foundation of modern LLMs. The book exceeded my expectations. It is written in an excellent methodical style. Introduces concepts one by one, helps experimenting with them in the real code. It provided an excellent introduction to PyTorch (in Appendix A, which the author recommended to consume before reading the rest of the book). The introduction is short, not overwhelming the reader with millions potential concepts of the huge ecosystem of Python and PyTorch, and still sufficient for productive consuming the entire book that uses both. All the concepts are defined in easy-to-consume steps, leading eventually to a complete overall understanding of GPT model. I am not naive to think that I can develop LLMs by myself now, but I definitely got more than expected. And enjoyed the material a lot. I did not use the code from GitHub (by the book's reference). Instead, I meticulously re-entered all the examples from the book's text into several Jupyter Notebooks in VSCode. This way I moved a bit slower but understood material better. Even found a few minor (typo-level) issues in the code. I am working on an ordinary Surface Book (no GPU), and all examples work instantaneously so far (obviously, it will change when I come to training). I am now in the position after chapter 4: Built the untrained GPT model and cannot wait when I will start training and using it. Highly recommend the book to everyone who wants to make their hands "dirty" with the AI.

### ⭐⭐⭐⭐⭐ Must have for serious learners
*by R***Q on February 20, 2026*

This book is an absolute masterpiece. The writer knows how to present complex concepts in simple, absorbable ways. From concepts to labs/demoes, he makes you feel like you’re sitting in an ivy league class. The companion YouTube channel is the icing on the cake. I highly recommend this for anyone interested in learning the fundamentals of ML

### ⭐⭐⭐⭐⭐ Many semsters of college worth of knowledge in 250 pages
*by C***N on January 22, 2026*

I was able to instantly take what I learned from this book and find out why past AI projects failed and how to apply it the the project I'm currently working. Even with up to date college classes, the subject area is so vast.

## Frequently Bought Together

- Build a Large Language Model (From Scratch)
- AI Engineering: Building Applications with Foundation Models
- Hands-On Large Language Models: Language Understanding and Generation

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*Product available on Desertcart Kuwait*
*Store origin: KW*
*Last updated: 2026-03-24*