SKU: 90467391759
1200 card binder

1200 card binder MintKeeper - 9 Pocket Premium Zip Trading Card Binder

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Description

1200 card binder MintKeeper - 9 Pocket Premium Zip Trading Card BinderThe premium 9 pocket trading card binder will store up to 360 standard sized trading cards in total. It has a high quality metal zip to keep the binder closed when not in use and helps prevent dust from entering. The textured outer cover is made of PU plastic which gives it a premium feel. The front, back and side of the binder has been reinforced and padded and is designed to keep your cards in mint condition. DESIGN The premium card binder contains

  • The premium 9 pocket trading card binder will store up to 360 standard sized trading cards in total. It has a high quality metal zip to keep the binder closed when not in use and helps prevent dust from entering.
  • The textured outer cover is made of PU plastic which gives it a premium feel. The front, back and side of the binder has been reinforced and padded and is designed to keep your cards in mint condition.
  • DESIGN - The premium card binder contains twenty built in 18-Pocket pages (9 pockets on each side with the black web material dividing) with 360 side-loading pockets in total. Each pocket is backed with a padded black web material that also creates a no-slip grip for cards - additional pages can NOT be added.
  • BINDER SIZE - The binder is 26.5cm x 35cm
  • POCKET SIZE - Designed to fit standard sized thickness sleeved trading cards up to 68mm x 97mm (will not fit toploaders)
  • COMPATIBILITY - The Pockets will fit a wide range of standard trading cards and the no slip grip helps frame various size cards. It is compatible with popular games like Pokemon, Magic The Gathering (MTG), Baseball, Sports, Yugioh, Dragon Ball Z, Topps, Star Wars, Panini and many more.
  • Made with High quality materials and contains no PVC and is Acid Free
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SKU: 90467391759

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4.1 ★★★★★
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Product Reviews
J
Jiewen Wang
Whiting, 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
Birmingham, 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
Birmingham, 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
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Reviewed in the United States on June 9, 2025
R
Ryan Meyer
San Leandro, 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
V
Vineeth Sai
New York, US
★★★★★ 5
Great foundation read for security!
Format: Paperback
This book is a great read! It builds a strong foundation and I would highly recommend it for builders who are interetsed in building on LLMs and ensuring everything is secure. Security is super important and this book does it justice!
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Reviewed in the United States on June 27, 2025

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