SKU: 42914714937

Second Date 3 Zits Bank Grove Ribstof Terrazzo

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Second Date 3 Zits Bank Grove Ribstof TerrazzoDe Ultieme Loungebank Onderdeel Van De Bekende Second Date Collectie Eindeloze Combinatie En Uitbreidingsmogelijkheden H 78 Cm X B 316 Cm X D 99 Cm Ontmoet Onze Second Date Bank, De Elementenbank Uit De Collectie Van Het Nederlandse Merk Woood. Het Verfijnde Lijnenspel Van Deze Bank Is Direct Herkenbaar En Geeft Je Interieur Een Luxe Touch. De Bankenserie Biedt Een Breed Scala Aan Mogelijkheden Met Royale Bankopstellingen En Losse Modules. Of Je Nu Op

De Ultieme Loungebank Onderdeel Van De Bekende Second Date Collectie Eindeloze Combinatie En Uitbreidingsmogelijkheden H 78 Cm X B 316 Cm X D 99 Cm Ontmoet Onze Second Date Bank, De Elementenbank Uit De Collectie Van Het Nederlandse Merk Woood. Het Verfijnde Lijnenspel Van Deze Bank Is Direct Herkenbaar En Geeft Je Interieur Een Luxe Touch. De Bankenserie Biedt Een Breed Scala Aan Mogelijkheden Met Royale Bankopstellingen En Losse Modules. Of Je Nu Op Zoek Bent Naar Een Ruime Hoekbank Of Een Compacte Zitoplossing, Deze Serie Heeft Het Allemaal. De Second Date Serie Heeft Een Robuust Design, Comfortabele Vulling En Sprekende Stofopties. Materiaal Second Date Is Opgebouwd Uit Een Combinatie Van Massief Hout, Spaanplaat, Multiplex En Een Zigzag Vering. De Zitting Is Opgebouwd Met Een T3542 Schuim Bedekt Met Hr3320 Schuim En Een Opvulling Van Siliconen Gesneden Schuimmix. De Rugleuning Is Eveneens Gevuld Met Deze Schuimmix Wat Zorgt Voor Een Hoog Zitcomfort. Deze Second Date Is Bekleed Met Een Grove Ribstof. Ben Je Op Zoek Naar Zichtbaar En Voelbaar Comfort? Dan Is Deze Heerlijk Zachte Grove Ribstof De Perfecte Match. Onze Split Ribstof Is Een Geweven Polyester Stof Met Een Hoogpolige Ribstructuur. De Achterzijde Van De Stof Is Verstevigd Met Een Strak Geweven Backing. Split Is Getest Op Een Martindale Van 40.000 Wat Ervoor Zorgt Dat De Stof Zeer Slijtvast Is. Afmetingen Hoogte: 78 Cm Breedte: 316 Cm Diepte: 99 Cm Zithoogte: 42 Cm Zitbreedte: 270 Cm Zitdiepte (Exclusief Kussens): 79 Cm Zitdiepte (Inclusief Kussens): 67 Cm Poothoogte: 2,5 Cm Dikte Rugleuning (Van Boven Naar Beneden): 6/24 Cm Dikte Kussen: +/ 14,5 Cm Hoogte Armleuning: 51 Cm Breedte Armleuning: 25 Cm Hoogte Rugkussens: 45 Cm Draagkracht: 100 Kg Per Zitplaats Gewicht: 97 Kg Onderhoud Leg Bij Vlekken Een Vochtige Handdoek Op De Vlek, Op Deze Manier Absorbeert De Handdoek De Vlek. Als De Handdoek Verzadigd Is, Het Proces Herhalen Tot De Vlek Niet Meer Afgeeft. Laat De Laatste Handdoek Op De Vlek Liggen Tot De Handdoek Is Opgedroogd. Let Op: Wrijving Zorgt Ervoor Dat De Vlek In De Bank Trekt. Wrijven Is Daarom Zeer Afgeraden. De Split Ribstof Is Behandeld Met Teflon Fabric Protector. Deze Behandeling Vormt Een Bescherming Rondom Elke Vezel, Dit Maakt De Stof Bestand Tegen Spatwater, Vuil En Stof. Impregneren Is Om Deze Reden Niet Meer Nodig. Levering Dit Item Wordt Geleverd In Drie Pakketten En Is Voorzien Van Verbindingsbeugels. Plaats Bij Harde Vloeren Viltglijders Onder De Poten. Dit Voorkomt Beschadigingen Aan De Vloer.

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SKU: 42914714937

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4.3 ★★★★★
Based on 30 reviews
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Product Reviews
O
Om S
Boise, US
★★★★★ 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.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on July 25, 2025
J
Jiewen Wang
Lake Worth, 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
Carnegie, 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
Whiting, 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
Omaha, 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

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