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Description
Warhammer Age of sigmar - Lumineth Realm-lords Army SetThe battlefield glows bright as the Lumineth go to war. These elegant aelves hail from Hysh, the Realm of Light, where enlightening magic surges in the air itself. Able to channel arcane power through the marvel of aetherquartz, they are faster, more dextrous and more magically talented than any of their myriad enemies. Yet in the shadow of that excellence lies pride, and it has led them down dark paths indeed. At last, the Lumineth Realm lords have
The battlefield glows bright as the Lumineth go to war. These elegant aelves hail from Hysh, the Realm of Light, where enlightening magic surges in the air itself. Able to channel arcane power through the marvel of aetherquartz, they are faster, more dextrous and more magically talented than any of their myriad enemies. Yet in the shadow of that excellence lies pride, and it has led them down dark paths indeed.At last, the Lumineth Realm-lords have arrived – a stunning new army that combines the grace of aelves of aeons past with an all-new aesthetic. If you’ve been looking forward to this release, this Army Set is the perfect way to kick off your collection, giving you models, rules, dice and accessories that make getting stuck in with your new aelves simple.
Discover the world, lore and rules for your army with the full and unabridged Battletome: Lumineth Realm-lords. This edition will be found only in this set, featuring a soft-touch cover, ribbon marker and gilt page edges. Take to the battlefield with 16 brand-new Citadel miniatures, available first in this set. This box includes:
- 1x The Light of Eltharion – a heroic commander for your forces featuring a Warhammer first – hollow, animated armour!
- 10x Vanari Auralan Wardens – a fully customisable set of aelven infantry armed with massive pikes that make for the perfect objective holders and defensive troops in your force
- 5x Vanari Dawnriders – a fully customisable set of aelven horsemen capable of carving through enemy infantry with contemptuous ease
Both the Vanari Dawnriders and Auralan Wardens feature alternative build options including heads, shields and unit champions, allowing you to make the models your own.
This set also contains a suite of exclusive accessories for your army, including:
- An acrylic combat gauge, perfect for small measurements and featuring artwork of Teclis
- 20 yellow gem-effect dice featuring the Runic Mandala of the Lumineth on the 6s
- A token board with a 9” range ruler, 23 aetherquartz tokens and 9 generic tokens that are ideal for tracking command points or objectives
- A pack of 36 reference cards that include quick reference spell lores, artefacts of power and command traits, ideal for keeping track of your heroes’ abilities
Order now and you'll also get a set of 6 exclusive cards featuring some of the amazing new Lumineth Realm-lords art, while stocks last.
Terms and conditions apply.
This set is strictly limited in quantity, meaning once it’s gone, it’s gone – secure yours before it’s too late!
This set includes 1x 50mm Round Base, 5x 60mm x 35mm Oval Bases and 10x 32mm Round Bases. Additionally, a 16-page construction guide for the miniatures in this set and a 16-page Warhammer: Age of Sigmar Core Rules booklet are included.
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4.2 ★★★★★
Based on 2036 reviews
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Product Reviews
★★★★★ 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
★★★★★ 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