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Description
Mishimoto 5X114.3 15MM Wheel Spacers - BlackWheel spacers are a great way to create brake clearance, add track width, prevent tire rub, and provide ideal wheel fitment on your vehicle. Mishimoto now offers a complete catalog of wheel spacers for a variety of common thread patterns, center bores, and thicknesses. Quality material selection, precise engineering, and meticulous manufacturing are critical elements to creating our incredibly robust products, and our wheel spacers are no different.
Wheel spacers are a great way to create brake clearance, add track width, prevent tire rub, and provide ideal wheel fitment on your vehicle. Mishimoto now offers a complete catalog of wheel spacers for a variety of common thread patterns, center bores, and thicknesses. Quality material selection, precise engineering, and meticulous manufacturing are critical elements to creating our incredibly robust products, and our wheel spacers are no different. Each spacer is forged from 6061-T6 aluminum. This material offers a perfect blend of strength and lightness, both are extremely vital in this application. Our spacers feature grade-12.9 steel studs and lug nuts, ensuring a safe and secure installation. Mishimoto's hub-centric design provides a direct extension of the axle hub for precise wheel fitment, reduced load on the hardware, and ensures safe and smooth driving.----Mishimoto wheel spacers feature a black anodized finish to ensure protection against corrosion. Each kit contains two wheel spacers with pre-installed studs and all hardware necessary for installation. As with all our products, this wheel spacer kit includes our signature Lifetime Warranty.This Part Fits:
| Year | Make | Model | Submodel |
|---|---|---|---|
| 2003 | Acura | CL | Base |
| 2003 | Acura | CL | Type-S |
| 2013-2015 | Acura | ILX | Base |
| 2013-2014 | Acura | ILX | Hybrid |
| 1999 | Acura | NSX | Alex Zanardi Edition |
| 1991-2001,2004-2005 | Acura | NSX | Base |
| 1995-2003 | Acura | NSX | T |
| 2007-2017 | Acura | RDX | Base |
| 2010-2012 | Acura | RDX | SH-AWD |
| 1996-1998 | Acura | RL | Base |
| 1996-2004 | Acura | RL | Premium |
| 1998 | Acura | RL | SE |
| 2002-2006 | Acura | RSX | Base |
| 2002-2006 | Acura | RSX | Type-S |
| 1995-2008 | Acura | TL | Base |
| 1995-1998 | Acura | TL | Premium |
| 2002-2003,2007-2008 | Acura | TL | Type-S |
| 2015-2019 | Acura | TLX | Base |
| 2015-2019 | Acura | TLX | SH-AWD |
| 2004-2014 | Acura | TSX | Base |
| 2012-2014 | Acura | TSX | Special Edition |
| 2010-2014 | Acura | TSX | V6 |
| 1998-2005 | Honda | Accord | DX |
| 1998-2018 | Honda | Accord | EX |
| 2007-2018 | Honda | Accord | EX-L |
| 2005-2007,2014-2015,2017-2018 | Honda | Accord | Hybrid |
| 2018 | Honda | Accord | Hybrid EX |
| 2014-2015,2017-2018 | Honda | Accord | Hybrid EX-L |
| 2014-2015,2017-2018 | Honda | Accord | Hybrid Touring |
| 1998-2018 | Honda | Accord | LX |
| 2006 | Honda | Accord | LX Special Edition |
| 2008-2012 | Honda | Accord | LX-P |
| 2008-2017 | Honda | Accord | LX-S |
| 2000,2002,2005,2011-2012 | Honda | Accord | SE |
| 2007 | Honda | Accord | Special Edition |
| 2013-2018 | Honda | Accord | Sport |
| 2017 | Honda | Accord | Sport Special Edition |
| 2013-2018 | Honda | Accord | Touring |
| 2001-2002,2006-2007 | Honda | Accord | Value Package |
| 2010-2011 | Honda | Accord Crosstour | EX |
| 2010-2011 | Honda | Accord Crosstour | EX-L |
| 2006-2012 | Honda | Civic | DX |
| 2006-2018 | Honda | Civic | EX |
| 2009-2018 | Honda | Civic | EX-L |
| 2016-2018 | Honda | Civic | EX-T |
| 2012-2015 | Honda | Civic | HF |
| 2006-2011 | Honda | Civic | Hybrid |
| 2009-2011 | Honda | Civic | Hybrid-L |
| 2006-2018 | Honda | Civic | LX |
| 2016-2018 | Honda | Civic | LX-P |
| 2009-2011 | Honda | Civic | LX-S |
| 2008 | Honda | Civic | MUGEN Si |
| 2015 | Honda | Civic | SE |
| 2006-2015,2017-2018 | Honda | Civic | Si |
| 2017-2018 | Honda | Civic | Sport |
| 2017-2018 | Honda | Civic | Sport Touring |
| 2016-2018 | Honda | Civic | Touring |
| 2017-2018 | Honda | Civic | Type R |
| 1998-2018 | Honda | CR-V | EX |
| 2007-2018 | Honda | CR-V | EX-L |
| 1997-2018 | Honda | CR-V | LX |
| 2000-2001,2005-2006,2011,2016 | Honda | CR-V | SE |
| 2015-2018 | Honda | CR-V | Touring |
| 2003-2004 | Honda | Element | DX |
| 2003-2011 | Honda | Element | EX |
| 2004-2011 | Honda | Element | LX |
| 2007-2010 | Honda | Element | SC |
| 2016-2018 | Honda | HR-V | EX |
| 2016-2018 | Honda | HR-V | EX-L |
| 2016-2018 | Honda | HR-V | LX |
| 1999-2002 | Honda | Odyssey | Cargo |
| 1995-2003 | Honda | Odyssey | EX |
| 2002-2003 | Honda | Odyssey | EX-L |
| 1995-2003 | Honda | Odyssey | LX |
| 2003-2007 | Honda | Pilot | EX |
| 2004-2007 | Honda | Pilot | EX-L |
| 2003-2007 | Honda | Pilot | LX |
| 1997-2001 | Honda | Prelude | Base |
| 1997-2001 | Honda | Prelude | Type SH |
| 2000-2009 | Honda | S2000 | Base |
| 2008-2009 | Honda | S2000 | CR |
Shipping Notes
- Free Standard Shipping on $100+ Orders to the USA.
- Except Preorder products are shipped in 48 hours.
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Exchange/Return Notes
- We offer a 30-day return/exchange service after receiving.
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4.1 ★★★★★
Based on 18 reviews
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Product Reviews
★★★★★ 5
Great Resource when Integrating AI
Format: Kindle
This is a great resource when building systems that integrate with AI. It manages to cover the entire lifecycle and even tips for corporate environments!
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Reviewed in the United States on August 26, 2025
★★★★★ 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.
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Reviewed in the United States on July 25, 2025
★★★★★ 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.
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Reviewed in the United States on July 2, 2025
★★★★★ 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
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Reviewed in the United States on December 31, 2025
★★★★★ 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
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Reviewed in the United States on June 9, 2025