SKU: 35671148320

Mobile Suit Gundam: The Origin Deluxe 1

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Mobile Suit Gundam: The Origin Deluxe 1The classic Gundam series now in a premium Deluxe Edition hardcover! PRAISE FOR THE NEW YORK TIMES BESTSELLING SERIESIts a good book. Very good, actually. Very good war comics, requiring no prior experience with anime or mecha or Gundamjust a well made, old fashioned war comic, full of thrills and spills and lucky breaks and narrow escapes and preening villains youll love to hate and pigheaded heroes you may hate to love, and expert drawings by a

The classic Gundam series now in a premium Deluxe Edition hardcover!PRAISE FOR THE NEW YORK TIMES BESTSELLING SERIES“It’s a good book. Very good, actually. Very good war comics, requiring no prior experience with anime or mecha or Gundam—just a well-made, old-fashioned war comic, full of thrills and spills and lucky breaks and narrow escapes and preening villains you’ll love to hate and pigheaded heroes you may hate to love, and expert drawings by a master craftsman, and hard, sturdy violence.” —Joe McCulloch, The Comics Journal “One of the best drawn and told manga works of recent memory… If you want to understand the fuss around the original Gundam, or even read one of the better manga works out there, then Gundam: The Origin is definitely worth checking out.” —Ollie Barder, Forbes “WINNER: BEST MANGA [2013] This manga was penned by Yoshikazu Yasuhiko—and who better to handle the transformation of the show from screen to page than the man who had key roles in the original series, from character design, to illustration, to layout?” —NEO Magazine (U.K.)“Yasuhiko’s work is just really strong throughout. Fights between mobile suits are exciting, and manage to stay clear despite an impressive amount of detail… These releases deserve as much love as was put into them.”—Joseph Luster, Otaku USA “While it goes without saying that Gundam fans should enjoy these books, they are also a good read for those who simply like a science fiction or a war story that is well-written, nicely illustrated, and full of interesting characters… [S]eriously good literary entertainment.” —Anime News Network “No real knowledge or understanding of the original MSG is needed… What follows are hundreds of pages of suspenseful war drama and sci-fi explosiveness, all of which is well and good (seriously good, actually; this is an intensely fun sci-fi epic), but it’s the visuals that you are truly getting this book for.” —Graphic Novel Reporter “A compelling coming-of-age story. It spins personal and political drama together in a way that is both engaging and satisfying… This is a series you will want to put into a teen’s hands, even if they don’t know it yet. Once they start reading, they won’t want to put it down.” —School Library Journal Blog Network The storied Gundam franchise’s “First Season” that set new standards of verisimilitude for televised sci-fi animation returns in comics form at the hand of one of the initial creators! The definitive account expands on the classic narrative with the same sense of purpose that lit up the screen more than four decades ago.This new edition collects the original bestselling twelve-installment English release into six oversized volumes. All of the many color pages—unusually numerous for Japanese comics—have been retained…only at a larger size. The master’s artwork has never looked so grand! (Does not include essays and illustrations from the original release that are not the author’s own)
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SKU: 35671148320

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4.3 ★★★★★
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O
Om S
Port Orchard, US
★★★★★ 4
Title: Really Good Book for Learning LLMs
Format: Paperback, Format: Paperback
I picked up this book after struggling with LLM implementation at work. Ken Huang explains things clearly without too much technical jargon. The book covers everything from data preparation to building AI agents. I especially liked the chapters on RAG and prompting techniques - they helped me improve my current projects. The code examples actually work, which is nice. Some parts are pretty advanced, so you need basic Python knowledge. I had to read a few chapters twice to fully get it. The fairness and bias detection section was eye-opening. Good practical advice throughout. Not just theory - real solutions you can use. Worth the money if you're serious about LLM development. Recommended for anyone building AI systems professionally.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on July 25, 2025
J
Jiewen Wang
Port Orchard, US
★★★★★ 5
a comprehensive guide at the intersection of generative AI and cybersecurity
Format: Kindle
This book blends deep theoretical foundations with practical frameworks and forward-looking strategies. From adversarial risk models to actionable guidance using OWASP Top 10 for LLMs and the NIST AI RMF, it offers both technical depth and operational clarity. What makes it stand out is its balance of academic rigor and real-world CISO insights, providing a holistic perspective on securing GenAI systems. While it leans enterprise-focused, the content remains accessible to security engineers, risk managers, and policy leaders alike. Generative AI Security is a timely and essential read for anyone working to deploy GenAI responsibly—building systems with both power and integrity in today’s fast-evolving threat landscape.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on July 2, 2025
N
Nader
Cuba, US
★★★★★ 1
Light on substance and heavy on flaws
Format: Paperback
The book has a great list of topics, but fails to provide much substance any of them. Most of the provided code is just comments that avoid the actual crux of the issues being discussed. (e.g. #implement the logic to validate XYZ - while the whole point of this chapter is teach how the heck we validate XYZ!) Some parts are plain wrong, for example the part on Graph based RAG is fundamentally flawed as it assumes the text embedding and the graph embedding are in the same latent space. (This is one of many more examples). Seems like the book was rushed, and the author has limited hands on experience (if any). At least we know based on the amount of flaws that it was not written by an LLM
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Reviewed in the United States on December 31, 2025
N
noam barkay
Natrona Heights, US
★★★★★ 5
Excellent book to truly understand LLM design patterns
Format: Paperback
I just finished reviewing Ken Huang's pocket book on LLM Design Patterns, and WOW what an amazing resource! This book is excellent if you want to truly understand how to create and enhance intelligent AI language models, all that in your pocket! Ken makes the difficult things seem surprisingly easy, and that's the real MAGIC. - How to prepare your data for training by making it extremely clean. Developing the brains: the practical aspects of training, optimizing, and maintaining your models. - Learn amazing prompting techniques (such as Chain-of-Thought and Tree-of-Thoughts) to improve your AI's reasoning and problem-solving abilities. Learn everything there is to know about RAGs so that your LLM can incorporate outside expertise. - It also delves into creating "agentic" AI that is capable of action and planning (not only simple plan and execute but also enhanced techniques like ReWoo!) Really, this feels like a useful toolkit, so Ken thank you for that resource Thanks, Idan Habler
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on June 9, 2025
R
Ryan Meyer
Whiting, US
★★★★★ 3
A Broad Overview, But Light on Modern Fine-Tuning
Format: Paperback
I'm currently really interested in fine-tuning LLMs and recently completed my first LoRA-based fine-tuning on a quantized model. I came to this book looking for more detail on fine-tuning. While it touches on the topic, I found the content didn’t quite align with the current state of the field in 2025. Techniques like LoRA, QLoRA, and PEFT weren’t really covered, and the material leaned more toward what I think are older or lower level approaches. That made it harder to connect with what I’m actually working on. That said, when I shifted to other chapters — like the sections on prompt engineering techniques such as Chain of Thought (CoT) and Tree of Thought (ToT) — I found more value. These sections were clearer, and I picked up a few practical insights, like using few-shot examples that walk through the CoT reasoning process. That’s not something I’ve tried before, and I can see how it might help smaller models that struggle with any type of reasoning tasks. Overall, the book feels more like a broad overview of all LLM concepts. For someone exploring many topics across the LLM ecosystem, it offers a wide-ranging introduction. But for readers like me who are actively trying to learn and apply techniques like fine-tuning and quantization, it may leave you wanting up-to-date guidance.
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Reviewed in the United States on August 10, 2025

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