Build a Large Language Model (From Scratch) versus LLM Engineer's Handbook.
Both show up on every "best" list. They're not competitors. They're a sequence. Here's which one to read first, and when.
Reviewed by Ashish Sheth · Updated May 2026
Author
Sebastian Raschka
Paul Iusztin, Maxime Labonne
Pages
368
522
Published
2024
2024
Publisher
Manning Publications
Packt Publishing
Level
intermediate
intermediate to advanced
Amazon Rating
4.5/5 (445)
4.5/5 (184)
Goodreads Rating
4.6/5 (313)
3.9/5 (62)
Build a Large Language Model (From Scratch)
Strengths
+ Clear, step-by-step pedagogy that breaks down complex concepts into manageable pieces
+ Hands-on coding throughout, you build a working model on your laptop
+ Excellent diagrams and visual explanations alongside code
+ Companion GitHub repo has 91,000+ stars with bonus materials
Caveats
− Limited mathematical depth on why certain architectural choices exist
− Focuses only on GPT-style architecture, no coverage of alternatives
− Requires solid Python and basic ML knowledge to follow along
LLM Engineer's Handbook
Strengths
+ End-to-end production focus covering the full LLM pipeline
+ Bridges the gap between research papers and real-world implementation
+ Authors bring real experience from building GenAI systems at scale
+ Amazon Bestseller with 10,000+ copies sold globally
Caveats
− Writing tends to over-explain trivial details while skipping architectural decisions
− Code examples have inconsistent patterns and small bugs
− Breadth-first approach means limited depth on any single topic
The verdict
Read Build a Large Language Model (From Scratch) first to build foundations, then move to LLM Engineer's Handbook for advanced concepts.
Build a Large Language Model (From Scratch)
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LLM Engineer's Handbook
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Frequently asked
Which is better, Build a Large Language Model (From Scratch) or LLM Engineer's Handbook?
Read Build a Large Language Model (From Scratch) first to build foundations, then move to LLM Engineer's Handbook for advanced concepts.
Do I need a GPU to follow along?
No. The model you build is small enough to train on a regular laptop CPU. That's intentional. The goal is understanding, not training a production model.
Is the LLM Engineer's Handbook good for beginners?
You need familiarity with Python, basic ML concepts, and ideally some cloud/AWS experience. It's not a first book on AI, but it's approachable for mid-level engineers.