SKU: 76313120125

SANUNO Inox F

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Description

SANUNO Inox FSANUNO inox F (mit Fu) dieser hochwertige Auftischfilter aus Edelstahl (V4A) bietet sthetik und 100% Carbonit Qualitt. Einfach das Spezial Umlenkventil an den Wasserhahn anschrauben fertig. Anwendungsbereich Auftischfilter fr Kche und Bad zur Erzeugung von gereinigtem Trinkwasser, auch bei hohen Blei und Kupferkonzentrationen einsetzbar. Sehr gut geeignet fr die Zubereitung von Getrnken, Kochwasser etc. Achtung wichtig! Nicht hinter drucklosem Boiler

SANUNO inox F (mit Fuß) - dieser hochwertige Auftischfilter aus Edelstahl (V4A) bietet Ästhetik und 100% Carbonit®-Qualität. Einfach das Spezial-Umlenkventil an den Wasserhahn anschrauben - fertig.

Anwendungsbereich

Auftischfilter für Küche und Bad zur Erzeugung von gereinigtem Trinkwasser, auch bei hohen Blei- und Kupferkonzentrationen einsetzbar.
Sehr gut geeignet für die Zubereitung von Getränken, Kochwasser etc.

Achtung - wichtig!

  • Nicht hinter drucklosem Boiler betreiben!
  • Nicht an eine Brause-Armatur anschließen!
  • Nur mit Kaltwasser betreiben!
  • Aus technischen Gründen ist der Einsatz nur bei Kaltwasser zulässig, vor Frost schützen.
  • Nur Orginal Carbonit Ersatzpatronen bieten eine Funktionsgarantie.

Für die Nutzung eines Auftischgerätes sollte folgendes beachtet werden:

Aufgrund des aufgebauten Wasserdrucks im Gehäuse während der Nutzung, fließt nach dem Schließen des Umlenkventils stehts einiges Wasser nach. Sorgen Sie daher bitte dafür, dass der Entnahmehahn des Filters immer über ein Spülbecken ragt, damit das nachlaufende Wasser abfließen kann. Anders als bei Untertischgeräten, hier steht das gesamte Gerät konstant unter Leitungsdruck und wird durch den Entnahmehahn geöffnet und geschlossen. Ein nachfließen von Wasser findet hier nicht statt.

Nasse Filteranlagen können aus hygienischen Gründen nicht zurückgenommen werden und sind vom gesetzlichen Rückgaberrecht ausgeschlossen!

Wir bieten Ihnen einen Treue-Rabatt mit unserem Filter-Abo! Laden Sie hier unser Abo-Formular herunter!

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SKU: 76313120125

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4.4 ★★★★★
Based on 12 reviews
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Product Reviews
J
Jiewen Wang
Pawtucket, 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
Alexandria, 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
Fort Morgan, 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
Charlottesville, 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
Charlottesville, 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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