Puig 110NN 3.0 Brems-Kuppl.Satz verfügbar für DUCATI 899 Panigale (Type H8) 2014-2015
SKU: 2866944985

Puig 110NN 3.0 Brems-Kuppl.Satz verfügbar für DUCATI 899 Panigale (Type H8) 2014-2015

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Description

Puig 110NN 3.0 Brems-Kuppl.Satz verfügbar für DUCATI 899 Panigale (Type H8) 2014-2015Part. Nr.: 110NN2172Funktion: Bremshebel Puig 3. 0 schwarz klappbar Versteller schwarz Puig 110NN 3. 0 Brems Kuppl. Satz pass. fuer DUCATI 899 Panigale (Type H8) 2014 2015 Erneuern Sie die Hebel Ihres Motorrads mit den neuen PUIG 3. 0 Hebeln. Es ist die Weiterentwicklung der Version 2. 0. PUIG hat beim entwicklen des Aussehens Wert auf die ergonomische Verbesserung des Modells gelegt um die Hebel diesbezglich zu verbessern. Nun verleihen die Hebel dem

Part.Nr.: 110NN2172

Funktion: Bremshebel Puig 3.0 schwarz- klappbar- Versteller schwarz

Puig 110NN 3.0 Brems-Kuppl.Satz pass. fuer DUCATI 899 Panigale (Type H8) 2014-2015

Erneuern Sie die Hebel Ihres Motorrads mit den neuen PUIG 3.0 Hebeln. Es ist die Weiterentwicklung der Version 2.0. PUIG hat beim entwicklen des Aussehens Wert auf die ergonomische Verbesserung des Modells gelegt um die Hebel diesbezüglich zu verbessern. Nun verleihen die Hebel dem Motorrad einen moderneren und aggressiveren Touch.
Die neue Form der Hebel ermöglicht einen perfekten Griff, der mehr Grip und Zugänglichkeit garantiert und das Fahrerlebnis einzigartig macht.
Was die neuen Looks betrifft, so hat PUIG alle Grafiken, die im Stück enthalten sind, erneuert und sie an die neuesten Zeiten angepasst. Außerdem können Sie das Produkt in 7 verschiedenen Farben bekommen.

Die 3.0 PUIG-Griffe sind in 4 verschiedenen Modellen erhältlich: Klappbar, Fest, sehr Kurz und Ausziehbar und Klappbar in einem. PUIG hat seine Bemühungen darin gelegt dieses neue Modell zu verbessern. Und es ist gelungen. Die Ergonomie zu verbessern, sodass die Hände und Finger es bequem haben und gleichzeitig perfekter Halt garantiert ist.

Was die Montage betrifft, so werden die Hebel mit detaillierten Anweisungen geliefert und erfordern keine Modifikationen am Motorrad. Falls es das erste Mal ist, dass ein Griffsatz gekauft wird, müssen Sie auch den Satz spezifischer Befestigungen für Ihr Motorrad kaufen, da die Puig-Griffe nicht mit den Originalbeschlägen montiert werden. 
Die Montage der Beschläge muss von einem Fachmechaniker durchgeführt werden. Da bei der Umrüstung aufgrund vom verändern der Position der Bremspumpe das Rad mit einem Gestell angehoben werden muss. Um sicherzustellen, dass das Rad nicht gebremst ist. Wenn es abgebremst ist, kann es dazu führen, dass die Bremsen blockieren.

Puig 3.0 Griffe haben das TÜV Zertifikat und die deutsche Zulassung ABE 91294.

Kompatibel/Ersatz für Marke : DUCATI

Modell: 899 Panigale

Typ: H8 ABE Nr: e3*0586*

Baujahr: 2014 - 2015

Bremse: 6141N Kupplung: 6138N

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SKU: 2866944985

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4.3 ★★★★★
Based on 1223 reviews
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Product Reviews
O
Om S
Battle Creek, 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
Whiting, 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
Whiting, 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
Dallas, 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

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