--- product_id: 661716330 title: "Build a Large Language Model from Scratch" price: "€ 117.25" currency: EUR in_stock: true reviews_count: 13 url: https://www.desertcart.be/products/661716330-build-a-large-language-model-from-scratch store_origin: BE region: Belgium --- # Build a Large Language Model from Scratch **Price:** € 117.25 **Availability:** ✅ In Stock ## Quick Answers - **What is this?** Build a Large Language Model from Scratch - **How much does it cost?** € 117.25 with free shipping - **Is it available?** Yes, in stock and ready to ship - **Where can I buy it?** [www.desertcart.be](https://www.desertcart.be/products/661716330-build-a-large-language-model-from-scratch) ## Best For - Customers looking for quality international products ## Why This Product - Free international shipping included - Worldwide delivery with tracking - 15-day hassle-free returns ## Description Build a Large Language Model from Scratch : Raschka, Sebastian: desertcart.in: Books Review: A Game-Changing Technical Guide - Sebastian Raschka's latest book is an absolute treasure for anyone serious about understanding the intricacies of Large Language Models (LLMs) and Transformer architecture. What sets this book apart is its unparalleled hands-on, ground-up approach to building GPT-2 from scratch using PyTorch. Why This Book Stands Out 1.Comprehensive Deep Dive: Raschka doesn't just explain concepts; he walks you through building each component of the Transformer architecture step by step. It's like having a masterclass in LLM design right at your fingertips. 2.Beginner-Friendly Design: Don't worry if you're not a PyTorch expert. The brilliantly crafted Appendix A provides a thorough introduction to PyTorch, making the learning curve much less intimidating for newcomers. 3.Beyond Basic Architecture: This book goes well beyond a simple explanation of Transformers. It covers fine-tuning techniques for classification and instruction tasks, and even includes a remarkable appendix on LoRA implementation from scratch. Practical Learning Experience The book is packed with practical exercises that challenge and reinforce your understanding. Raschka provides a learning experience that's both rigorous and engaging. Whether you're a machine learning practitioner, researcher, or enthusiastic learner, you'll find immense value in the detailed explanations and hands-on coding. Standout Features 1.Detailed, step-by-step implementation of GPT-2 2.In-depth exploration of Transformer architecture 3.Comprehensive coverage of fine-tuning techniques 4.Practical exercises to test and expand your knowledge 5.Appendices that provide additional context and learning resources Recommended For Machine Learning Engineers AI Researchers Data Scientists Students in Computer Science and AI Anyone wanting to understand LLMs at a fundamental level Pro Tip If you're new to the subject, start with Appendix A to build your PyTorch foundation, then progress through the chapters systematically. The book's structure allows for a smooth, progressive learning experience. Final Thoughts Sebastian Raschka has created more than just a book—he's crafted a comprehensive guide that demystifies the complex world of Large Language Models. The hands-on approach, coupled with deep technical insights, makes this book an invaluable resource for anyone serious about understanding modern AI technologies. Whether you want to build your own models, understand the inner workings of LLMs, or simply satisfy your technical curiosity, "Build Large Language Models From Scratch" is an exceptional investment in your learning journey. Highly recommended! Review: Demystifying LLM - The book offers a practical, step-by-step guide that demystifies the inner workings of large language models. The book guides us through the entire creation process, from the initial design and coding of an LLM to the intricacies of pre-training on a general corpus and fine-tuning for specific tasks. Its accessibility is a key strength, featuring clear explanations, illustrative diagrams, and practical code examples that render complex topics understandable. This book has been an invaluable companion in my journey into the fascinating world of LLMs, and for that, I am sincerely grateful to the Sebastian for this book. ## Technical Specifications | Specification | Value | |---------------|-------| | Best Sellers Rank | #13,957 in Books ( See Top 100 in Books ) #4 in C & C++ Programming #7 in Python Programming #28 in Programming Languages (Books) | | Customer Reviews | 4.5 4.5 out of 5 stars (369) | | Dimensions | 18.73 x 1.78 x 23.5 cm | | ISBN-10 | 1633437167 | | ISBN-13 | 978-1633437166 | | Importer | Computer Bookshop (I) Pvt. Ltd. , Kitab Mahal Building, 190 Dr. D N Road, Fort , Mumbai - 400001 , Whatsapp - +91 9987380571, Email - info@cb-india.com, Website - www.cb-india.com | | Item Weight | 612 g | | Language | English | | Packer | Computer Bookshop (I) Pvt. Ltd. , Kitab Mahal Building, 190 Dr. D N Road, Fort , Mumbai - 400001 , Whatsapp - +91 9987380571, Email - info@cb-india.com, Website - www.cb-india.com | | Paperback | 400 pages | | Publisher | Manning Pubns Co; 1st edition (29 October 2024); Pearson Benelux BV; productsafety@pearson.com | ## Images ![Build a Large Language Model from Scratch - Image 1](https://m.media-amazon.com/images/I/71eljkULtwL.jpg) ## Customer Reviews ### ⭐⭐⭐⭐⭐ A Game-Changing Technical Guide *by M***N on 17 December 2024* Sebastian Raschka's latest book is an absolute treasure for anyone serious about understanding the intricacies of Large Language Models (LLMs) and Transformer architecture. What sets this book apart is its unparalleled hands-on, ground-up approach to building GPT-2 from scratch using PyTorch. Why This Book Stands Out 1.Comprehensive Deep Dive: Raschka doesn't just explain concepts; he walks you through building each component of the Transformer architecture step by step. It's like having a masterclass in LLM design right at your fingertips. 2.Beginner-Friendly Design: Don't worry if you're not a PyTorch expert. The brilliantly crafted Appendix A provides a thorough introduction to PyTorch, making the learning curve much less intimidating for newcomers. 3.Beyond Basic Architecture: This book goes well beyond a simple explanation of Transformers. It covers fine-tuning techniques for classification and instruction tasks, and even includes a remarkable appendix on LoRA implementation from scratch. Practical Learning Experience The book is packed with practical exercises that challenge and reinforce your understanding. Raschka provides a learning experience that's both rigorous and engaging. Whether you're a machine learning practitioner, researcher, or enthusiastic learner, you'll find immense value in the detailed explanations and hands-on coding. Standout Features 1.Detailed, step-by-step implementation of GPT-2 2.In-depth exploration of Transformer architecture 3.Comprehensive coverage of fine-tuning techniques 4.Practical exercises to test and expand your knowledge 5.Appendices that provide additional context and learning resources Recommended For Machine Learning Engineers AI Researchers Data Scientists Students in Computer Science and AI Anyone wanting to understand LLMs at a fundamental level Pro Tip If you're new to the subject, start with Appendix A to build your PyTorch foundation, then progress through the chapters systematically. The book's structure allows for a smooth, progressive learning experience. Final Thoughts Sebastian Raschka has created more than just a book—he's crafted a comprehensive guide that demystifies the complex world of Large Language Models. The hands-on approach, coupled with deep technical insights, makes this book an invaluable resource for anyone serious about understanding modern AI technologies. Whether you want to build your own models, understand the inner workings of LLMs, or simply satisfy your technical curiosity, "Build Large Language Models From Scratch" is an exceptional investment in your learning journey. Highly recommended! ### ⭐⭐⭐⭐⭐ Demystifying LLM *by M***N on 13 July 2025* The book offers a practical, step-by-step guide that demystifies the inner workings of large language models. The book guides us through the entire creation process, from the initial design and coding of an LLM to the intricacies of pre-training on a general corpus and fine-tuning for specific tasks. Its accessibility is a key strength, featuring clear explanations, illustrative diagrams, and practical code examples that render complex topics understandable. This book has been an invaluable companion in my journey into the fascinating world of LLMs, and for that, I am sincerely grateful to the Sebastian for this book. ### ⭐⭐⭐⭐⭐ Must read to grok LLM implementation *by V***N on 7 January 2026* It's an excellent book to grok the internals of an LLM that also rekindered my joy of deeply learning from text books. True its title of "from scratch", it doesn't simply use a pytorch module and calls it done but implements everything in Python with stdlib and then reimplements in Pytorch. Especially accessible to non ML practitioners. ## 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 --- ## Why Shop on Desertcart? - 🛒 **Trusted by 1.3+ Million Shoppers** — Serving international shoppers since 2016 - 🌍 **Shop Globally** — Access 737+ million products across 21 categories - 💰 **No Hidden Fees** — All customs, duties, and taxes included in the price - 🔄 **15-Day Free Returns** — Hassle-free returns (30 days for PRO members) - 🔒 **Secure Payments** — Trusted payment options with buyer protection - ⭐ **TrustPilot Rated 4.5/5** — Based on 8,000+ happy customer reviews **Shop now:** [https://www.desertcart.be/products/661716330-build-a-large-language-model-from-scratch](https://www.desertcart.be/products/661716330-build-a-large-language-model-from-scratch) --- *Product available on Desertcart Belgium* *Store origin: BE* *Last updated: 2026-05-18*