
Build a Large Language Model (From Scratch)
Original price was: $59.99.$25.00Current price is: $25.00.
(77 Video: 8 Hours 12 Minutes • 1 Book: Pages: 370)
Build a Large Language Model (From Scratch): Masterclass Bundle
Book + Video Course by Sebastian Raschka
Unlock the Secrets of Generative AI—From Foundations to Fine-Tuning
Take a leap into the world of artificial intelligence with this in-depth bundle, combining the groundbreaking book “Build a Large Language Model (From Scratch)” with its companion video course, both led by renowned AI expert and bestselling author Sebastian Raschka. Designed for learners and professionals alike, this comprehensive package demystifies the inner workings of large language models (LLMs) and empowers you to build, train, and customize your own, step-by-step.
Bundle Includes:
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Digital Book:
Build a Large Language Model (From Scratch): Learn how to create, train, and tweak large language models (LLMs) by building one from the ground up!
(Includes free PDF & ePub) -
Full Video Course:
Build a Large Language Model from Scratch Video Edition
(8+ hours of high-quality instruction, O’Reilly early access)
What You’ll Learn
This hands-on bundle covers:
- LLM Fundamentals: Understand the architecture and inner workings of generative AI models like GPT.
- Coding from Zero: Write all essential components of a GPT-style LLM—no black-box libraries required.
- Data Preparation: Learn proven, practical techniques for structuring and managing large text datasets.
- Pretraining and Fine-Tuning: Train your base model, then specialize it for classification or instruction-following.
- Evaluation & Human Feedback: Apply best practices for testing and refining your models with real data and user input.
- Cutting-edge Techniques: Explore advanced methods like LoRA (Low-Rank Adaptation) for efficient fine-tuning and leverage pretrained weights from industry sources.
- Practical Applications: Develop chatbots, text classifiers, and custom AI assistants—easily deployable on a modern laptop.
Who This Bundle Is For
Ideal for intermediate Python users and aspiring machine learning engineers, this bundle is perfect for:
- AI professionals and researchers seeking hands-on LLM experience
- Developers looking to break into natural language processing
- Data scientists desiring a deep, practical understanding of transformers and GPT architectures
- Anyone curious about the technology behind ChatGPT, Bard, and Copilot
Why Choose This Bundle?
- Step-by-Step Guidance: Clear explanations, diagrams, source code, and practical examples walk you through every critical stage—from preprocessing and tokenization to fine-tuning and evaluation.
- Theory + Practice: Complement the detailed, readable textbook with engaging video lectures for a richer learning experience.
- Direct from the Expert: Your instructor, Sebastian Raschka, is a recognized authority in AI, an open-source contributor, and Staff Research Engineer at Lightning AI.
- Ready to Use: Build models that run efficiently—even without specialized hardware.
Bundle Contents
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Book Chapters & Course Modules Cover:
- LLM basics, applications, and architecture
- Tokenization, embeddings, and attention mechanisms
- Assembling a GPT-like model from the ground up
- Pretraining on unlabeled data
- Fine-tuning for specific tasks (e.g., text classification, instruction following)
- Loading and saving PyTorch models
- Performance optimizations: gradient clipping, cosine decay, and more
- Advanced fine-tuning with LoRA
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Bonus Resources:
- Practical code samples, exercises, and solutions
- References for further reading and continued learning
Supercharge Your AI Skills
Whether you’re building your first AI model or advancing your understanding of cutting-edge generative technologies, the “Build a Large Language Model (From Scratch): Masterclass Bundle” is your definitive pathway to mastery. Gain the confidence and skills to create your own LLMs—and truly understand them from the inside out.
Get the bundle today and join the next generation of AI innovators.
76 reviews for Build a Large Language Model (From Scratch)
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Stephan Miller (verified owner) –
Though I don’t think I be building my own LLM any time soon, it does help to know how they work when you deal with them. Some of the quirks and unexpected responses start to make more sense. I have worked with classification and deep learning before, but LLMs were a black box to me. Now, at least, I have a clearer idea of what they do and actually keep up how the technology is changing.
BRIAN (verified owner) –
What an amazing book detailing how each component of the language models components fit together and work synchronously. It is not too difficult to read / follow along if you have previous coding experience with Neural Networks and PyTorch on Machine learning projects. It definitely was a great purchase to understand what it takes to build a local LLM. I had to remove 1 star because the book already tore a bit on the front cover on day 3 of reading.
Wael Mohsen (verified owner) –
I appreciated the book for its thoroughness and attention to detail. However, I believe it would benefit from being printed in color, as many images on the O’Reilly website are more vibrant and clearer when viewed in color. Additionally, enhancing the resolution of some images would improve the overall experience. For these reasons, I would rate the book 4 out of 5. With these adjustments, I think it could easily earn a perfect score of 5 out of 5.
Christoph Kuhn (verified owner) –
Gute begleitende Praxisbeispiele mit Code