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collectable card sleeves Performore 9-pocket Trading Card Binder Sleeves for 3 Ring Binders | Baseball, Sports Card Protector Sheets | Plastic Top Loader PagesCLEAR SHEET PROTECTORS FOR YOUR TRADING CARDS: Not only for sports trading cards, these binder sleeves for 3 ring binders can be used as Yu Gi Oh! card sleeves, can fit Pokemon, Kpop photo cards, coupons, and anything else a similar size. A must have item for every card collector! No more worrying about messy cards around your house. SUITABLE TRADING CARD SLEEVES TO FILL IN 3 RING BINDERS: The sheets size is 8. 75 x 11. 6 inch with 3 pre punched holes
- CLEAR SHEET PROTECTORS FOR YOUR TRADING CARDS: Not only for sports trading cards, these binder sleeves for 3 ring binders can be used as Yu-Gi-Oh! card sleeves, can fit Pokemon, Kpop photo cards, coupons, and anything else a similar size. A must-have item for every card collector! No more worrying about messy cards around your house.
- SUITABLE TRADING CARD SLEEVES TO FILL IN 3 RING BINDERS: The sheets size is 8.75 x 11.6 inch with 3 pre-punched holes that can fit in any 3 ring binders to keep your cards organized and safe. Pockets are sized to fit standard (2.5" x 3.5") trading cards.
- EASY TO SLIDE THE CARDS IN AND OUT: Top-loading design makes it simple and easy to slide cards in and out. Even for kids, they can slide their Pokemon, Yugioh, sports cards and so on easily as these plastic sleeves for binders are thick and sturdy. You don't have to open or close the binder whenever you need to add or remove the cards.
- DURABLE, HIGH-QUALITY CARDS SLEEVES: The highest standard in safe storage - The 9-pocket cards sleeves are made with non-PVC, acid-free, ultra-clear polypropylene film. This gives the sheets non-stick surface that will not lift ink from your precious collection. Your cards stay right where they are with their ink secured as well.
- GOOD VALUE 18 CARDS PER SHEET: Each sheet can fit 18 cards on both sides (9 each). The card sleeves are extremely sturdy and durable enough to hold cards on both sides and will not rip. This pack offers you 25 pages to start filling your cards in.
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4.6 ★★★★★
Based on 8 reviews
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Product Reviews
★★★★★ 5
Great Resource when Integrating AI
Format: Kindle
This is a great resource when building systems that integrate with AI. It manages to cover the entire lifecycle and even tips for corporate environments!
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on August 26, 2025
★★★★★ 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.
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Reviewed in the United States on July 25, 2025
★★★★★ 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.
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Reviewed in the United States on July 2, 2025
★★★★★ 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
★★★★★ 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
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