SKU: 10467067969

Herren Hoodie Baumwolle Outdoor Kapuzenpullover mit Bauchtasche

Sale price$31.46 Regular price$34.95
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Description

Herren Hoodie Baumwolle Outdoor Kapuzenpullover mit BauchtascheEinzelheiten: 280 g m 80 % Baumwolle, gekmmt und ringgesponnen, 20 % Polyester (Denim: 60 % Baumwolle, 40 % Polyester; leichtes Oxford: 70 % Baumwolle, 30 % Polyester) Gebrstete Rckseite Kapuze mit Innenfutter aus Stoff Ton in Ton Kordel Eingesetzte rmel Kngurutasche vorne mit Riegeln oben und unten zur Verstrkung der Taschenffnungen Rippbndchen und Saum Seitennhte Verbessern Sie Ihren Arbeits oder Freizeitlook mit dem strongAnt Herren Hoodie aus

Einzelheiten:

  • 280 g/m²
  • 80 % Baumwolle, gekämmt und ringgesponnen, 20 % Polyester (Denim: 60 % Baumwolle, 40 % Polyester; leichtes Oxford: 70 % Baumwolle, 30 % Polyester)
  • Gebürstete Rückseite
  • Kapuze mit Innenfutter aus Stoff
  • Ton-in-Ton-Kordel
  • Eingesetzte Ärmel
  • Kängurutasche vorne mit Riegeln oben und unten zur Verstärkung der Taschenöffnungen
  • Rippbündchen und Saum
  • Seitennähte

Verbessern Sie Ihren Arbeits- oder Freizeitlook mit dem strongAnt Herren Hoodie aus Baumwolle. Dieser Kapuzenpullover ist der ideale Begleiter für Ihre täglichen Abenteuer und bietet Ihnen sowohl Style als auch Funktionalität.

Ein Herren Hoodie in verschiedenen Farben mit einer Kängurutasche vorne und einer Kapuze mit ton-in-ton Kordel. Der Hoodie besteht aus Baumwolle (280 g/m²) und hat Rippbündchen an den Ärmeln und am Saum. Die Seitennähte sorgen für eine hochwertige Optik.

Der Hoodie besteht aus hochwertiger Baumwolle mit einem Gewicht von 280 g/m², was ihn robust und langlebig macht. Mit seiner gebürsteten Rückseite fühlt er sich angenehm weich auf der Haut an und hält Sie an kühleren Tagen wunderbar warm.

Die Kapuze ist mit einem Innenfutter aus Stoff versehen und kann individuell angepasst werden, dank der ton-in-ton Kordel. Egal ob auf der Arbeit, beim Wandern oder in Ihrer Freizeit - dieser Hoodie bietet Ihnen den perfekten Schutz vor Wind und Wetter.

Die eingesetzten Ärmel sorgen für eine optimale Passform und Bewegungsfreiheit. Die Kängurutasche vorne ist nicht nur praktisch, sondern auch stylisch. Mit Riegeln oben und unten wird die Taschenöffnung verstärkt, um ein Ausleiern zu verhindern.

Die Rippbündchen an den Ärmeln und am Saum geben dem Hoodie einen modernen Look und sorgen dafür, dass er nicht verrutscht. Die Seitennähte runden das Design ab und verleihen dem Hoodie eine hochwertige Optik.

Wählen Sie aus einer Vielzahl von Farben, darunter Weiß, Grau, Schwarz, Blau, Orange, Rot und Pink, um Ihren persönlichen Stil zum Ausdruck zu bringen. Egal ob bei der Arbeit, beim Wandern oder in Ihrer Freizeit - dieser Hoodie wird Sie nicht enttäuschen.

Bestellen Sie noch heute den strongAnt Herren Hoodie und erleben Sie Komfort und Stil in einem!

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SKU: 10467067969

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4.6 ★★★★★
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Product Reviews
J
Jiewen Wang
Phoenix, 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
Chelsea, 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
Lake Worth, 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
Chelsea, 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.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on August 10, 2025
V
Vineeth Sai
Houston, 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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