Test Yourself on Build a Large Language Model (From Scratch): Exercises to Enhance Your LLM Learning

**Learn how to create, train, and tweak large language models (LLMs) by building one from the ground up!** **Sebastian Raschka** ’s bestselling book *Build a Large Language Model (From Scratch)* is the best way to learn how Large Language Models function. It uses Python and the PyTorch deep learning library. It’s a unique way to learn this subject, which some believe is the only way to truly learn: you build a model yourself. Even with the clear explanations, diagrams, and code in the book, learning a complex subject is still hard. This Test Yourself guide intends to make it a little easier. The structure mirrors the structure of *Build a Large Language Model (From Scratch)* , focusing on key concepts from each chapter. You can test yourself with multiple-choice quizzes, questions on code and key concepts, and questions with longer answers that push you to think critically. The answers to all questions are provided. Depending on what you know at any point, this Test Yourself guide can help you in different ways. It will solidify your knowledge if used after reading a chapter. But it will also benefit you if you digest it before reading. By testing yourself on the main concepts and their relationships you are primed to navigate a chapter more easily and be ready for its messages. We recommend using it before and after reading, as well as later when you have started forgetting. Repeated learning solidifies our knowledge and integrates it with related knowledge already in our long-term memory. **What’s inside** • Questions on code and key concepts • Critical thinking exercises requiring longer answers • Answers for all questions **About the reader** For readers of *Build a Large Language Model (From Scratch)* who want to enhance their learning with exercises and self-assessment tools. **About the author** Curated from *Build a Large Language Model (From Scratch)*