SKU: 53937277176

SP 1074602007 AFAM Aluminiumritzel hinten 17206520 passend fuer KAWASAKI KLX 250

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SP 1074602007 AFAM Aluminiumritzel hinten 17206520 passend fuer KAWASAKI KLX 250SP 1074602007 AFAM Aluminiumritzel hinten 17206520 passend fuer KAWASAKI KLX 250 1994 AFAM Alu Kettenrder werden aus einer leichten und widerstandsfhigen Legierung hergestellt. Die Fertigungsqualitt und przision seiner Ritzel macht AFAM zur weltweit anerkannten Referenzmarke in Sachen Motorrad Antriebskomponenten. Ultraleichtes Alu Kettenrad Aluminium 7075 T6 Hochwertige Qualitt und erstklassiges Finish Geringeres Gewicht gegenber Stahl M E R K M A L

SP 1074602007 AFAM Aluminiumritzel hinten 17206520 passend fuer KAWASAKI KLX 250 1994

AFAM Alu-Kettenräder werden aus einer leichten und widerstandsfähigen Legierung hergestellt. Die Fertigungsqualität und -präzision seiner Ritzel macht AFAM zur weltweit anerkannten Referenzmarke in Sachen Motorrad-Antriebskomponenten.

  • Ultraleichtes Alu-Kettenrad
  • Aluminium 7075 T6
  • Hochwertige Qualität und erstklassiges Finish
  • Geringeres Gewicht gegenüber Stahl

 

- M E R K M A L -

Kettenrad Version: Ultra-light

Kettenteilung: 520

Kettenrad Zahnanzahl: 45

Kettenrad Typ: 17206

Material: Aluminium

passend für:

KAWASAKI KX 250 (KX250D) 1985
KAWASAKI KX 250 (KX250D) 1986
KAWASAKI KX 500 (KX500A) 1984
KAWASAKI KX 500 (KX500B) 1985
KAWASAKI KX 500 (KX500B) 1986
KAWASAKI KDX 250 (KDX250E) 1991
KAWASAKI KDX 250 (KDX250E) 1992
KAWASAKI KLX 250 (KLX250S) 2013
KAWASAKI KLX 300 R (KLX300B) 1997
KAWASAKI KLX 300 R (KLX300B) 1998
KAWASAKI KLX 300 R (KLX300B) 1999
KAWASAKI KLX 450 R (KLX450A) 2014
KAWASAKI KLX 450 R (KLX450A) 2015
KAWASAKI KLX 450 R (KLX450A) 2016
KAWASAKI KLX 450 R (KLX450A) 2017
KAWASAKI KLX 450 R (KLX450A) 2018
KAWASAKI KLX 450 R (KLX450A) 2019
KAWASAKI KLX 650 R (KLX650A) 1993
KAWASAKI KLX 650 R (KLX650A) 1994
KAWASAKI KLX 650 R (KLX650A) 1995
KAWASAKI KX 250 (KX252B) 2021
KAWASAKI KX 500 (KX500E) 2000
KAWASAKI KX 500 (KX500E) 2001
KAWASAKI KX 500 (KX500E) 2002
KAWASAKI KX 500 (KX500E) 2003
KAWASAKI KLX 450 R (KLX450A) 2013
KAWASAKI KX 125 (KX125M) 2006
KAWASAKI KX 500 (KX500E) 1998
KAWASAKI KX 250 (KX250F) 1988
KAWASAKI KX 125 (KX125E) 1986
KAWASAKI KDX 200 (KDX200E) 1989
KAWASAKI KX 250 (KX250R) 2008
KAWASAKI KDX 250 (KDX250D) 1991
KAWASAKI KDX 200 (KDX200E) 1992
KAWASAKI KX 250 (KX250H) 1991
KAWASAKI KDX 250 (KDX250B) 1983
KAWASAKI KX 500 (KX500E) 1992
KAWASAKI KX 250 F (KX250T) 2006
KAWASAKI KX 125 (KX125L) 2000
KAWASAKI KLX 250 R (KLX250D) 1994
KAWASAKI KX 500 (KX500E) 1995
KAWASAKI KDX 220 R (KDX220R) 1997
KAWASAKI KX 450 F (KX450D) 2008
KAWASAKI KX 125 (KX125M) 2003
KAWASAKI KX 250 F (KX250Y) 2012
KAWASAKI KX 450 F (KX450E) 2011
KAWASAKI KX 250 F (KX250Z) 2015
KAWASAKI KDX 220 R (KDX220R) 2003
KAWASAKI KDX 200 (KDX200H) 1995
KAWASAKI KLX 300 R (KLX300A) 1997
KAWASAKI KX 250 (KX250L) 2000
KAWASAKI KLX 300 R (KLX300A) 2000
KAWASAKI KX 250 (KX250K) 1994
KAWASAKI KX 450 F (KX450F) 2014
KAWASAKI KX 250 F (KX250W) 2009
KAWASAKI KLX 450 R (KLX450A) 2010
KAWASAKI KX 250 (KX250K) 1997
KAWASAKI KLX 250 (KLX250S) 2011
KAWASAKI KDX 250 (KDX250D) 1994
KAWASAKI KDX 200 (KDX200A) 1984
SUZUKI RM-Z 250 2006
KAWASAKI KX 450 F (KX450D) 2006
KAWASAKI KX 500 (KX500E) 1990
KAWASAKI KX 250 (KX250M) 2003
KAWASAKI KX 125 (KX125L) 2001
KAWASAKI KLX 450 R (KLX450A) 2008
KAWASAKI KX 500 (KX500E) 1993
KAWASAKI KX 250 (KX250R) 2006
KAWASAKI KX 450 F (KX450E) 2009
KAWASAKI KX 500 (KX500C) 1987
KAWASAKI KDX 200 (KDX200C) 1987
KAWASAKI KDX 220 R (KDX220R) 1998
KAWASAKI KX 450 F (KX450H) 2017
KAWASAKI KX 125 (KX125G) 1989
KAWASAKI KDX 200 (KDX200E) 1990
KAWASAKI KX 450 F (KX450F) 2015
KAWASAKI KLX 300 R (KLX300A) 2003
KAWASAKI KX 125 (KX125M) 2007
KAWASAKI KX 250 F (KX250N) 2004
KAWASAKI KX 250 F (KX252A) 2018
KAWASAKI KDX 200 (KDX200H) 2001
KAWASAKI KDX 250 (KDX250D) 1992
KAWASAKI KX 250 F (KX250T) 2007
KAWASAKI KX 125 (KX125E) 1987
KAWASAKI KX 125 (KX125M) 2004
KAWASAKI KX 125 (KX125J) 1992
KAWASAKI KDX 250 (KDX250D) 1995
KAWASAKI KLX 450 R (KLX450A) 2011
KAWASAKI KDX 200 (KDX200E) 1993
KAWASAKI KX 250 (KX250K) 1995
KAWASAKI KX 450 F (KX450F) 2012
KAWASAKI KX 500 (KX500E) 1999
KAWASAKI KX 250 (KX250K) 1998
KAWASAKI KX 125 (KX125K) 1996
KAWASAKI KX 500 (KX500E) 1996
KAWASAKI KX 250 (KX250L) 2001
KAWASAKI KDX 200 (KDX200H) 2002
KAWASAKI KX 450 F (KX450H) 2018
KAWASAKI KDX 200 (KDX200H) 1998
KAWASAKI KDX 200 (KDX200H) 1996
KAWASAKI KLX 300 R (KLX300A) 2001
KAWASAKI KDX 220 R (KDX220R) 2000
SUZUKI RM-Z 250 2004
KAWASAKI KDX 220 R (KDX220R) 2004
KAWASAKI KDX 200 (KDX200H) 1999
KAWASAKI KX 125 (KX125J) 1993
KAWASAKI KDX 220 R (KDX220R) 2001
KAWASAKI KX 125 (KX125H) 1990
KAWASAKI KX 450 F (KX450D) 2007
KAWASAKI KX 250 (KX250H) 1990
KAWASAKI KLX 250 (KLX250S) 2008
KAWASAKI KX 125 (KX125L) 1999
KAWASAKI KLX 250 (KLX250S) 2009
KAWASAKI KX 250 (KX250M) 2004
KAWASAKI KDX 200 (KDX200H) 2005
KAWASAKI KX 450 F (KX450E) 2010
KAWASAKI KLX 250 (KLX250S) 2012
KAWASAKI KX 250 (KX250R) 2007
KAWASAKI KX 250 (KX250E) 1987
KAWASAKI KLX 250 R (KLX250D) 1996
KAWASAKI KX 125 (KX125F) 1988
KAWASAKI KX 250 F (KX250N) 2005
KAWASAKI KX 125 (KX125K) 1998
KAWASAKI KDX 220 R (KDX220R) 1999
KAWASAKI KDX 200 (KDX200H) 2004
KAWASAKI KX 250 F (KX250Y) 2011
KAWASAKI KLX 450 R (KLX450A) 2009
KAWASAKI KX 125 (KX125K) 1995
KAWASAKI KDX 250 (KDX250B) 1981
KAWASAKI KX 125 (KX125H) 1991
KAWASAKI KX 450 F (KX450F) 2013
KAWASAKI KX 125 (KX125D) 1985
KAWASAKI KLX 300 R (KLX300A) 1999
KAWASAKI KX 250 (KX250J) 1993
KAWASAKI KDX 200 (KDX200H) 1997
KAWASAKI KDX 250 (KDX250B) 1982
KAWASAKI KX 250 (KX250K) 1996
KAWASAKI KLX 250 R (KLX250D) 1993
KAWASAKI KDX 200 (KDX200H) 2000
KAWASAKI KX 450 F (KX450H) 2016
KAWASAKI KLX 250 (KLX250S) 2010
KAWASAKI KLX 450 R (KLX450A) 2012
KAWASAKI KX 250 F (KX250T) 2008
KAWASAKI KX 250 F (KX250Z) 2014
KAWASAKI KDX 220 R (KDX220R) 2002
KAWASAKI KX 250 F (KX252A) 2017
KAWASAKI KDX 200 (KDX200H) 2003
KAWASAKI KLX 250 R (KLX250D) 1995
KAWASAKI KX 250 (KX250G) 1989
KAWASAKI KX 125 (KX125K) 1994
KAWASAKI KX 250 (KX250J) 1992
KAWASAKI KX 500 (KX500E) 1989
KAWASAKI KX 125 (KX125K) 1997
KAWASAKI KLX 300 R (KLX300A) 2002
KAWASAKI KDX 220 R (KDX220R) 2005
KAWASAKI KX 250 F (KX250X) 2010
KAWASAKI KDX 200 (KDX200C) 1986
SUZUKI RM-Z 250 2005
KAWASAKI KX 500 (KX500D) 1988
KAWASAKI KDX 200 (KDX200H) 2006
KAWASAKI KLX 300 R (KLX300A) 1998
KAWASAKI KX 250 F (KX250Z) 2013
KAWASAKI KX 250 F (KX250Z) 2016
KAWASAKI KDX 200 (KDX200E) 1991
KAWASAKI KX 500 (KX500E) 1991
KAWASAKI KX 500 (KX500E) 1994
KAWASAKI KX 125 (KX125L) 2002
KAWASAKI KDX 200 (KDX200A) 1985
KAWASAKI KDX 200 (KDX200C) 1988
KAWASAKI KX 500 (KX500E) 1997
KAWASAKI KX 125 (KX125M) 2005
KAWASAKI KX 125 (KX125M) 2008
KAWASAKI KDX 250 (KDX250D) 1993
KAWASAKI KDX 200 (KDX200E) 1994
KAWASAKI KX 250 (KX250L) 1999
KAWASAKI KX 250 (KX250L) 2002
KAWASAKI KX 250 (KX250R) 2005
KAWASAKI KX 125 (KX125B) 1983
KAWASAKI KX 125 (KX125C) 1984
KAWASAKI KX 500 (KX500A) 1983
KAWASAKI KX 250 (KX252A) 2019
KAWASAKI KX 450 (KX450J) 2021
KAWASAKI KX 250 (KX252B) 2020
KAWASAKI KX 450 (KX450J) 2020
KAWASAKI KX 450 (KX450J) 2019
KAWASAKI KX 450 (KX450J) 2022
KAWASAKI KX 250 (KX252C) 2022
KAWASAKI KDX 250 (KDX250D) 1996
KAWASAKI KLX 250 (KLX250S) 2006
KAWASAKI KLX 250 (KLX250S) 2007
KAWASAKI KLX 250 (KLX250S) 2014
KAWASAKI KLX 250 (KLX250S) 2015
KAWASAKI KLX 250 (KLX250S) 2016
KAWASAKI KLX 250 (KLX250S) 2017
KAWASAKI KDX 200 (KDX200A) 1983
KAWASAKI KX 125 (KX125B) 1982
KAWASAKI KX 450 2023
KAWASAKI KX 250 2023
KAWASAKI KX 250 2024

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SKU: 53937277176

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4.5 ★★★★★
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Product Reviews
J
Jiewen Wang
Grantham, 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
Grantham, 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
Phoenix, 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
Waukegan, 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
Port Orchard, 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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