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Dorothy R. EplingReviewed in the United States on February 25, 2025
Probably full of useful, legitimate, and honest best practices to form the base for a LLM engineer reference. However, almost from the outset it is an overt commercial endeavor to sell pieces of the puzzle described in this book. But it doesn't end there. Nonetheless, although its' open source foundation, it is well written, it is illustrated to include copious code snippets, and it is from very credible sources.
Steven EvansReviewed in the United States on January 21, 2025
I Learned how devops is implemented through LLM’s and essentially how to construct more modular code to bring LLM’s and ML models into production environments. I plan on integrating it fully on the cloud as proof of my learning!
LinReviewed in the United States on February 7, 2025
this handbook is a great LLM starter guide
Simeon EmanuilovReviewed in the United States on November 27, 2024
This book shows you exactly how to build and deploy LLM systems that work. Clear code, real AWS examples, and proper production setup steps. A must-buy for AI engineers who build actual products.
Kindle CustomerReviewed in the United States on October 22, 2024
As an IT pro who's background is in Front End Reporting this LLM this book is beneficial. It has helped to get an understanding on what it is and how to use it. It can take a novice to the next level by applying best practices and detailed explanations. You can follow along in each chapter that gives you a stage by stage instructions that are easy to comprehend. It has example code files for you to download and utilize while following along with the book. I would definitely recommend this book to colleagues wanting to learn more about LLM. It might be challenging if you don't have any software development skills but it is worth the challenge.
Anastasios StamoulakatosReviewed in the United States on December 1, 2024
Great work, focusing not just on an LLM application development but also on the MLOps and CI/CD/CT of a service.
Allen WymaReviewed in the United States on October 23, 2024
I've been working in software engineering for over 10 years and would like to know more about LLMs. This was a great resource to help me understanding LLMs from the ground up. I highly recommend this book to those who are in the same boat as me.
MichaelReviewed in the United States on November 17, 2024
Loved everything about this book!!! Amazing!!
Arif &Ed : Books,Music And JavaReviewed in Canada on December 25, 2024
The book is ok (not bad), however the Packt service is horrible - they mention in the book that you get free pdf download - and it has been constant back and forth and I have not received the download link. I personally will stay away from Packt books - I believe Manning and O'Reilly usually have much better books and better service.
AbbasReviewed in France on November 17, 2024
Je recommande ce livre. Ce livre vous accompagne et vous guide de bout en bout dans votre projet LLMOPS
lincelunareReviewed in the United Kingdom on November 21, 2024
This book lacks depth and clarity, offering simplistic examples with little real-world value. Over-reliance on vendor services, AWS-centric content, and questionable originality—possibly lifted from online sources—make it feel rushed and unprofessional. Unique phrases and sections of text can be searched online to verify their origins. Not suitable for those seeking a deeper understanding of LLM building and deployment.
Sebastiano G.Reviewed in Italy on December 30, 2024
If you want to learn about Large Language Models (LLMs), LLM Engineer's Handbook by Paul Iusztin and Maxime Labonne offers a practical, step-by-step guide. It’s great for beginners, with clear explanations and downloadable code examples to help you follow along. The book also covers AWS in detail, which is useful for anyone working with cloud technologies. It might be a bit challenging if you don’t have a software development background, but if you’re willing to put in the effort, it’s a solid resource to deepen your LLM knowledge.
OnlineReviewed in India on January 9, 2025
Good book.