Description
LLM reasoning models have the power to tackle truly challenging problems that require finding the right path through multiple steps. In Build A Reasoning Model (From Scratch) you’ll learn how to build a working reasoning model from the ground up. Sebastian Raschka, the bestselling author of Build a Large Language Model (From Scratch), is your guide on this exciting journey. Sebastian mentors you every step of the way with clear explanations, practical code, and a keen focus on what really matters.
In Build A Reasoning Model (From Scratch) you’ll learn how to:
- Implement core reasoning improvements for LLMs
- Evaluate models using judgment-based and benchmark-based methods
- Improve reasoning without updating model weights
- Use reinforcement learning to integrate external tools like calculators
- Apply distillation techniques to learn from larger reasoning models
- Understand the full reasoning model development pipeline
Reasoning models break problems into steps, producing more reliable answers in math, logic, and code. These improvements aren’t just a curiosity–they’re already integrated into top models like Grok 4 and GPT-5. Build A Reasoning Model (From Scratch) demystifies these complex models with a simple philosophy: the best way to learn how something works is to build it yourself! You’ll begin with a pre-trained LLM, adding and improving its reasoning capabilities in ways you can see, test, and understand.








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