Pay in installments of $30.80 with
,
and
Shipping Estimate
USA
- USA
- CAN
- USA
- CAN
Ships within 48 hours · Estimated delivery Aug 15 - Aug 20
Promo Codes Available:
For Your Every Summer RSVP, with Code: SUMMER15
Description
StopTech Select Sport 07-15 BMW 328i Slotted / Drilled 1PC Left Front Rotor2014 2015 BMW 220i, 2014 2016 BMW 228i, 2015 2016 BMW 228i xDrive, 2017 2020 BMW 230i, 2017 2018 BMW 230i xDrive, 2013 2018 BMW 320i, 2013 2018 BMW 320i xDrive, 2006 2011 BMW 323i, 2011 2011 BMW 325i, 2014 2018 BMW 328d, 2014 2018 BMW 328d xDrive, 2007 2016 BMW 328i, 2014 2016 BMW 328i GT xDrive, 2009 2016 BMW 328i xDrive, 2008 2008 BMW 328xi, 2016 2019 BMW 330i, 2017 2019 BMW 330i GT xDrive, 2017 2019 BMW 330i xDrive, 2014 2016 BMW 428i, 2015 2016
2014 - 2015 BMW 220i, 2014 - 2016 BMW 228i, 2015 - 2016 BMW 228i xDrive, 2017 - 2020 BMW 230i, 2017 - 2018 BMW 230i xDrive, 2013 - 2018 BMW 320i, 2013 - 2018 BMW 320i xDrive, 2006 - 2011 BMW 323i, 2011 - 2011 BMW 325i, 2014 - 2018 BMW 328d, 2014 - 2018 BMW 328d xDrive, 2007 - 2016 BMW 328i, 2014 - 2016 BMW 328i GT xDrive, 2009 - 2016 BMW 328i xDrive, 2008 - 2008 BMW 328xi, 2016 - 2019 BMW 330i, 2017 - 2019 BMW 330i GT xDrive, 2017 - 2019 BMW 330i xDrive, 2014 - 2016 BMW 428i, 2015 - 2016 BMW 428i Gran Coupe, 2014 - 2016 BMW 428i xDrive, 2015 - 2016 BMW 428i xDrive Gran Coupe, 2017 - 2020 BMW 430i, 2017 - 2020 BMW 430i Gran Coupe, 2017 - 2020 BMW 430i xDrive, 2017 - 2020 BMW 430i xDrive Gran Coupe, 2010 - 2015 BMW X1This Part Fits:
| Year | Make | Model | Submodel |
|---|---|---|---|
| 2014-2016 | BMW | 228i | Base |
| 2015-2016 | BMW | 228i xDrive | Base |
| 2017-2021 | BMW | 230i | Base |
| 2017-2021 | BMW | 230i xDrive | Base |
| 2013-2018 | BMW | 320i | Base |
| 2013-2018 | BMW | 320i xDrive | Base |
| 2014-2018 | BMW | 328d | Base |
| 2014-2018 | BMW | 328d xDrive | Base |
| 2007-2016 | BMW | 328i | Base |
| 2014-2016 | BMW | 328i GT xDrive | Base |
| 2009-2016 | BMW | 328i xDrive | Base |
| 2008 | BMW | 328xi | Base |
| 2016 | BMW | 330e | Base |
| 2017-2019 | BMW | 330i | Base |
| 2017-2019 | BMW | 330i GT xDrive | Base |
| 2017-2019 | BMW | 330i xDrive | Base |
| 2018 | BMW | 340i | Base |
| 2018 | BMW | 340i GT xDrive | Base |
| 2018 | BMW | 340i xDrive | Base |
| 2014-2016 | BMW | 428i | Base |
| 2015-2016 | BMW | 428i Gran Coupe | Base |
| 2014-2016 | BMW | 428i xDrive | Base |
| 2015-2016 | BMW | 428i xDrive Gran Coupe | Base |
| 2017-2020 | BMW | 430i | Base |
| 2017-2020 | BMW | 430i Gran Coupe | Base |
| 2017-2020 | BMW | 430i xDrive | Base |
| 2017-2020 | BMW | 430i xDrive Gran Coupe | Base |
| 2013-2015 | BMW | X1 | sDrive28i |
| 2012-2015 | BMW | X1 | xDrive28i |
| 2013-2014 | BMW | X1 | xDrive35i |
Shipping Notes
- Free Standard Shipping on $100+ Orders to the USA.
- Except Preorder products are shipped in 48 hours.
- Delivery to the USA:
- Standard Shipping : 3-10 business days
- If time is of the essence, please consider selecting expedited delivery for faster service.
Exchange/Return Notes
- We offer a 30-day return/exchange service after receiving.
- Final sale items are not eligible for returns or exchanges.
- To process your return/exchange, please contact us at [email protected]
- Please click here for more details>>> Return & Exchange Policy
4.8 ★★★★★
Based on 6 reviews
Sort
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!
WAS THIS REVIEW HELPFUL?YesReportShare
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.
WAS THIS REVIEW HELPFUL?YesReportShare
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.
WAS THIS REVIEW HELPFUL?YesReportShare
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
WAS THIS REVIEW HELPFUL?YesReportShare
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
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on June 9, 2025