Building LLMs for Production 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
Option A
Building LLMs for Production
Louis-François Bouchard, Louie Peters · 2024
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Author
Louis-François Bouchard, Louie Peters
Paul Iusztin, Maxime Labonne
Pages
463
522
Published
2024
2024
Publisher
Towards AI
Packt Publishing
Level
intermediate
intermediate to advanced
Amazon Rating
4.8/5 (23)
4.5/5 (184)
Goodreads Rating
4.11/5 (53)
3.9/5 (62)
Building LLMs for Production
Strengths
+ Clear explanations with simple analogies for complex concepts
+ Practical code examples using LangChain and LlamaIndex
+ Strong chapters on fine-tuning, quantization, and distillation
+ Endorsed by Jerry Liu (CEO of LlamaIndex) as most comprehensive LLM apps textbook
Caveats
− Title says 'Production' but lacks depth on actual hosting and serving infrastructure
− Reads more as applied research than a practical engineering guide
− Better as a reference than a cover-to-cover read
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 Building LLMs for Production first to build foundations, then move to LLM Engineer's Handbook for advanced concepts.
Building LLMs for Production
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LLM Engineer's Handbook
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Frequently asked
Which is better, Building LLMs for Production or LLM Engineer's Handbook?
Read Building LLMs for Production first to build foundations, then move to LLM Engineer's Handbook for advanced concepts.
Is Building LLMs for Production good for beginners?
You need basic Python and some understanding of what LLMs are. It's not a first-ever AI book, but it starts from fundamentals and builds up.
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.