Build a Large Language Model
Original price was: 300,00 د.م..125,00 د.م.Current price is: 125,00 د.م..
Master generative AI by coding your own GPT-style architecture from scratch. Bestselling author Sebastian Raschka provides a clear, hands-on approach to artificial intelligence, perfect for developers looking to build and truly understand deep learning systems. Order your original physical copy today!
Description
Are you ready to dive into the world of artificial intelligence with Build a Large Language Model? This groundbreaking book by bestselling author Sebastian Raschka provides a hands-on, step-by-step approach to creating your own GPT-style AI. Whether you are a data scientist, a Python developer, or a technology enthusiast, this comprehensive guide will completely transform how you understand generative AI.
Table of Contents:
Why You Should Read Build a Large Language Model
Understanding the inner workings of artificial intelligence has never been more critical. When you dive into Build a Large Language Model, you are not just reading theories; you are coding a fully functional AI from the ground up. Following the philosophy that you only truly understand what you can build, Sebastian Raschka empowers you to construct your own neural architecture without relying on pre-existing libraries. This ensures a deep, foundational grasp of the technology.
By purchasing this high-quality physical edition, you guarantee yourself a beautiful, distraction-free reading experience that allows you to focus deeply on complex code structures and illustrative diagrams. It is an essential addition to any dedicated developer’s bookshelf.
What You Will Learn
This masterclass in AI engineering covers all the crucial stages of development. Throughout the chapters, you will discover how to plan and code every single component of your neural network architecture. You will prepare and process text datasets suitable for training, implement attention mechanisms, and construct GPT-style transformers.
Beyond the basics, you will fine-tune your foundation model for specific tasks like text classification and use human feedback to ensure your chatbot follows conversational instructions seamlessly.
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