SKU: 91383624533

56024-413-M | PALLASTREET MID ST | MOOD INDIGO/FIRECRACKER

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56024-413-M | PALLASTREET MID ST | MOOD INDIGO/FIRECRACKERKunstleder und Ballistic Mesh bilden das Obermaterial dieses Sneakers und kreieren eine auffallende sthetik fr clevere Kids, die gern auch mal gegen den Strom schwimmen. Die breiten Klettverschluss Riemen erleichtern den Einstieg und sind gleichzeitig ein echter Hingucker. Combining synthetic leather with a ballistic mesh, the upper of these sneakers creates a striking esthetic, for streetwise kids who like to stand out from the crowd. The chunky

 Kunstleder und Ballistic-Mesh bilden das Obermaterial dieses Sneakers und kreieren eine auffallende Ästhetik für clevere Kids, die gern auch mal gegen den Strom schwimmen. Die breiten Klettverschluss-Riemen erleichtern den Einstieg und sind gleichzeitig ein echter Hingucker.

Combining synthetic leather with a ballistic mesh, the upper of these sneakers creates a striking esthetic, for streetwise kids who like to stand out from the crowd. The chunky Velcro straps let them get in and out easily, as well as being a bold extra visual feature.

Avec leur tige en cuir synthétique et leur maille fine, ces sneakers ont une esthétique unique, pour les enfants de la ville qui aiment se démarquer des autres. Les larges pattes Velcro® tendance ajoutent au style original et rendent les chaussures faciles à enfiler et à retirer.

 Door synthetisch leder te combineren met een ballistisch gaas ontstaat aan de bovenkant van deze sneakers een in het oog springende esthetiek, voor kinderen met streetwise die zich graag onderscheiden van de rest. De stevige klittenbandsluitingen laten ze gemakkelijk in- en uitstappen en zijn bovendien een gewaagd extra zichtbaar kenmerk.
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Combining synthetic leather with a ballistic mesh, the upper of these sneakers creates a striking esthetic, for streetwise kids who like to stand out from the crowd. The chunky Velcro straps let them get in and out easily, as well as being a bold extra visual feature.

  • OBERMATERIAL: ballistisches Nylon / Kunstleder Verstärkungen an der Sohle und im Zehenbereich + Quartiere unten + Ferse
  • FUTTER: 130 x 70 cm Twill aus 100 % Baumwolle
  • SOCKENFUTTER: gestanztes EVA / Abdeckung aus 100 % Polyester
  • UNTEN: Gummi
  • MARKENLOGO: gewebtes Label auf der Zunge / runder Gummi-Patch auf der Seite / 3 Palladium Gummi-Senkelenden / GPS Logo-Print auf Zungenfutter
  • BESONDERHEITEN: Nylonlasche zur Schuhregulierung und einfachen Einstieg / Nylon-Fersenschlaufe / Nylon-Zungenschlaufe
  • UPPER : balistic nylon / synthetic leather reinforcements on bottom of toe area + bottom quarters + heel
  • LINING :130x70 twill in 100% cotton
  • SOCKLINER : die cut eva / cover in 100% polyester
  • BOTTOM : rubber
  • BRANDING : woven label on tongue / round rubber patch on lateral side / 3 Palladium rubber strap end / GPS logo printed on tongue lining
  • FEATURES : nylon strap to adjust the shoe and for a better enter / nylon heel loop / nylon tongue loop
  • TIGE : nylon / renforts en cuir synthétique sur le dessous du bout du pied, le bas des quartiers et le talon
  • DOUBLURE : sergé 100 % coton 130 x 70
  • SEMELLE INTÉRIEURE : EVA découpé / semelle de propreté 100 % polyester
  • DESSOUS : caoutchouc
  • MARQUAGE : étiquette tissée sur la languette / écusson rond en caoutchouc sur l’extérieur du pied / trois extrémités de patte Palladium en caoutchouc / logo GPS imprimé sur la doublure de la languette
  • DÉTAILS : patte en nylon pour régler la chaussure et l’enfiler plus facilement / boucle de talon en nylon / boucle de languette en nylon
  • BOVENKANT: ballistisch nylon / synthetisch lederen versterkingen aan de onderkant van teengebied + onderste zijstukken + hiel
  • VOERING:130x70 gekeperde stof van 100% katoen
  • INLEGZOOL: geponste EVA / belegd met 100% polyester
  • ZOOL: rubber
  • MERK: geweven label op de tong / rond rubberstuk aan de buitenste zijkant / drie Palladium rubber riemeindjes / gedrukt GPS logo op de voering van de tong
  • EIGENSCHAPPEN: nylon riempje om de schoen aan te passen en voor een betere instap / nylon lus om de hiel / nylon tonglus
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  • UPPER : balistic nylon / synthetic leather reinforcements on bottom of toe area + bottom quarters + heel
  • LINING :130x70 twill in 100% cotton
  • SOCKLINER : die cut eva / cover in 100% polyester
  • BOTTOM : rubber
  • BRANDING : woven label on tongue / round rubber patch on lateral side / 3 Palladium rubber strap end / GPS logo printed on tongue lining
  • FEATURES : nylon strap to adjust the shoe and for a better enter / nylon heel loop / nylon tongue loop
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SKU: 91383624533

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4.2 ★★★★★
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Product Reviews
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
Belleville, 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
West Palm Beach, 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
Lexington, 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
San Leandro, 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!
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on June 27, 2025

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