SKU: 51106595098

Crisis core Final fantasy 7

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Crisis core Final fantasy 7Zeven jaar voor de gebeurtenissen van Final Fantasy VII vergroot de Shinra Company haar invloed via militaire overmacht en een monopolie op mako energie. Met de snel groeiende stad Midgar als basis, staat Shinra op het punt de hele wereld over te nemen. SOLDIER is een groep van de beste soldaten binnen Shinra. De soldaten die sterk genoeg zijn om de titel SOLDIER 1st Class te verdienen, vormen de elite van de SOLDIERS. Zij worden gerespecteerd en

Zeven jaar voor de gebeurtenissen van Final Fantasy VII vergroot de Shinra Company haar invloed via militaire overmacht en een monopolie op mako-energie. Met de snel groeiende stad Midgar als basis, staat Shinra op het punt de hele wereld over te nemen.

SOLDIER is een groep van de beste soldaten binnen Shinra.De soldaten die sterk genoeg zijn om de titel SOLDIER 1st Class te verdienen, vormen de elite van de SOLDIERS. Zij worden gerespecteerd en vereerd door de bevolking.

Zack is een jonge SOLDIER 2nd Class die graag wil promoveren tot 1st Class. Hij voert dagelijks opdrachten uit onder de leiding van zijn mentor Angeal. Tijdens een opdracht in Wutai raakt een grote groep SOLDIERS onder leiding van 1st Class-soldaat Genesis vermist. Door de ernst van de situatie zetten de Shinra-bevelhebbers meteen extra soldaten in om de oorlog met Wutai zo snel mogelijk te beeindigen. Zack, Angeal en de wereldberoemde 1st Class-held Sephiroth worden op deze missie meegestuurd.

Wat zit er achter de verdwijning van Genesis? Door welke geheimen zijn de drie SOLDIERS 1st Class verbonden? Zack wacht een zware en belangrijke strijd.

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SKU: 51106595098

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4.2 ★★★★★
Based on 12 reviews
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Product Reviews
N
Nader
Los Angeles, 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
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on December 31, 2025
N
noam barkay
Cuba, 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
Los Angeles, 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
Chelsea, 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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Verified Purchase
CL
Dallas, US
★★★★★ 5
Loved it
Format: Paperback
I’ve easily read dozens of tech books. I liked this one a lot. Sure, there were boring parts, but most of it was engaging, especially on dry subjects. I previously read “How AI Works” and found this more informative and way more enjoyable. I got through the 700 pages in about 5 weeks while also learning about probability and linear algebra from other books and online sources. I’d love to read something more advanced by the author, maybe getting into more modern applications. I feel more comfortable with the subject and feel I am now ready to conquer more advanced texts. I initially picked this up to give me some background before reading “How to Build a LLM (from scratch)”. I’ve ordered an intermediary Deep Learning with Python book as well, but wouldn’t mind a more advanced theory book to accompany these books. I’ll definitely be rereading sections of this book to further familiarize myself with topics like backpropagation. Highly recommend if you’re looking for a gentle, but broad introduction to the topic.
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Reviewed in the United States on November 14, 2025

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