SKU: 46963928635

Hoodie dames Clique classic

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Description

Hoodie dames Clique classicClique Classic dames hoodie Deze Clique Classic dames hoodie is gemaakt van een sterke mix van 80% katoen en 20% polyester, waardoor de stof prettig draagt en lang mooi blijft bij intensief gebruik. De stof heeft een kwaliteit van 300 g m en is behandeld met softener. Hierdoor voelt de hoodie zacht en glad aan op de huid en blijft hij comfortabel, ook na veel wasbeurten. De pasvorm is afgestemd op dames en sluit netjes aan zonder te strak te zitten.

Clique Classic dames hoodie

Deze Clique Classic dames hoodie is gemaakt van een sterke mix van 80% katoen en 20% polyester, waardoor de stof prettig draagt en lang mooi blijft bij intensief gebruik.

De stof heeft een kwaliteit van 300 g/m² en is behandeld met softener. Hierdoor voelt de hoodie zacht en glad aan op de huid en blijft hij comfortabel, ook na veel wasbeurten. De pasvorm is afgestemd op dames en sluit netjes aan zonder te strak te zitten.

De hoodie is voorzien van een kangoeroezak aan de voorkant met daarin een verborgen mesh telefoonzak. Zo heb je je mobiele telefoon altijd bij de hand en zit deze toch veilig opgeborgen. De contrasterende details op de voorkant, bij het trekkoord en aan de binnenzijde van de capuchon geven deze werksweater een herkenbare uitstraling zonder overdreven te zijn.

Deze dames werksweater wordt veel gedragen door magazijnmedewerkers, orderpickers, chauffeurs, bezorgers en monteurs die een comfortabele hoodie zoeken voor werk en vrije tijd. Ook geschikt als bedrijfskleding en eenvoudig te laten bedrukken met een logo of bedrijfsnaam.

Is dit niet helemaal wat je zoekt of wil je nog even verder kijken? Bekijk dan alle dames werksweaters of ontdek meer modellen binnen onze hoodies collectie.

Je dames hoodie koop je eenvoudig en snel online bij Wear2work. Online bestellen of passen en vergelijken in onze winkel in Wijk bij Duurstede.

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SKU: 46963928635

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4.3 ★★★★★
Based on 24 reviews
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Product Reviews
J
Jiewen Wang
Natrona Heights, 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
Houston, 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
Carnegie, 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
Massapequa, 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
Grantham, 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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