Exercises to Enhance your LLM Learning
Training a Large Language Model from scratch might sound like something that requires multiple PhDs, a rack of GPUs, and a whiteboard full of equations. But with Sebastian Raschka’s acclaimed book and this Test Yourself companion guide, you’ll move beyond theory and start building real understanding, one challenge at a time.
This interactive workbook is your personal AI gym, a place to build mental muscle through structured drills, quizzes, and hands-on exercises designed to deepen your grasp of everything from tokenization to attention mechanisms.
What’s Inside:
- Chapter-Aligned Questions
Reinforce key takeaways with review questions matched to each chapter of the main book. - Multiple-Choice and Conceptual Challenges
Start with core facts, then stretch your thinking with questions that connect ideas and test true understanding. - Code Comprehension
Answer not just what the code does, but why it works, helping you debug with confidence in real-world scenarios. - Critical Thinking Prompts
Go beyond the surface with longer-answer questions that push you to think like a machine learning engineer.
You’ll also find practical tips for using this guide effectively before, during, and after reading the main book, along with strategies for retention like active recall and spaced repetition.
This is more than a study guide. It is your lab partner, your quizmaster, and your late-night debugging coach. By the time you finish, you won’t just recognize the parts of an LLM. You’ll know how they fit together and why they matter.
Who It’s For:
- ML beginners and self-learners with a foundation in Python
- Students and professionals preparing for AI roles
- Readers of So You Think You Can Train an LLM? who want to turn theory into mastery
Ready to get hands-on with the future of AI? Let’s train your brain.