SKU: 52638125947

EBC 12+ Scion FR-S 2 USR Slotted Front Rotors

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Description

EBC 12+ Scion FR-S 2 USR Slotted Front RotorsChoose from EBC plain non drilled rotors or sport rotors in two choices wide aperture 3GD series for cooler running or new SUPER SILENT Ultimax USR slotted series. All EBC rotors are British made and are precision machined in the UK. Rotors are made from high quality grey iron to exacting standards and undergo extensive testing and rigorous quality control. Slotted rotors can significantly improve brake performance and longevity when used with a

Choose from EBC plain non drilled rotors or sport rotors in two choices - wide aperture 3GD series for cooler running or new SUPER SILENT Ultimax USR slotted series. All EBC rotors are British made and are precision machined in the UK. Rotors are made from high quality grey iron to exacting standards and undergo extensive testing and rigorous quality control.Slotted rotors can significantly improve brake performance and longevity when used with a matching high friction pad set. Having sold hundreds of thousands of brake kits EBC Brakes feel confident their approach is as perfect as it gets.
Installation Instructions


This Part Fits:

Year Make Model Submodel
2013-2016 Scion FR-S Base
2004-2006 Subaru Baja Turbo
2013-2020 Subaru BRZ Limited
2013-2019 Subaru BRZ Premium
2015 Subaru BRZ Series.Blue
2019 Subaru BRZ Series.Gray
2016 Subaru BRZ Series.HyperBlue
2017 Subaru BRZ Series.Yellow
2018,2020 Subaru BRZ TS
2016-2018 Subaru Crosstrek Base
2016 Subaru Crosstrek Hybrid
2016 Subaru Crosstrek Hybrid Touring
2016-2018 Subaru Crosstrek Limited
2016-2018 Subaru Crosstrek Premium
2014-2018 Subaru Forester 2.5i
2014-2018 Subaru Forester 2.5i Limited
2014-2018 Subaru Forester 2.5i Premium
2014-2018 Subaru Forester 2.5i Touring
2009-2013 Subaru Forester X
2009-2013 Subaru Forester X Limited
2009-2013 Subaru Forester X Premium
2011-2013 Subaru Forester X Touring
2009 Subaru Forester XT
2009-2010 Subaru Forester XT Limited
2010-2013 Subaru Forester XT Premium
2011-2013 Subaru Forester XT Touring
2009-2010 Subaru Impreza 2.5 GT
2009-2010 Subaru Impreza 2.5i
2010 Subaru Impreza 2.5i Premium
2009-2010 Subaru Impreza Outback Sport
2009-2014 Subaru Impreza WRX
2010-2014 Subaru Impreza WRX Limited
2009-2014 Subaru Impreza WRX Premium
2009-2014 Subaru Impreza WRX STI
2011-2014 Subaru Impreza WRX STI Limited
2010 Subaru Impreza WRX STI Special Edition
2010-2012 Subaru Legacy 2.5GT
2006-2014 Subaru Legacy 2.5i
2007-2014 Subaru Legacy 2.5i Limited
2010-2014 Subaru Legacy 2.5i Premium
2007-2009 Subaru Legacy 2.5i Special Edition
2014 Subaru Legacy 2.5i Sport
2009 Subaru Legacy 3.0 R
2009 Subaru Legacy 3.0 R Limited
2005-2006 Subaru Legacy GT
2005,2007-2009 Subaru Legacy GT Limited
2006-2009 Subaru Legacy GT spec.B
2006-2014 Subaru Outback 2.5i
2007 Subaru Outback 2.5i Basic
2008 Subaru Outback 2.5i L.L. Bean Edition
2006-2014 Subaru Outback 2.5i Limited
2008 Subaru Outback 2.5i Limited L.L. Bean Edition
2010-2014 Subaru Outback 2.5i Premium
2009 Subaru Outback 2.5i Special Edition
2009 Subaru Outback 3.0 R Limited
2008 Subaru Outback Base
2005 Subaru Outback i
2005 Subaru Outback Limited
2006 Subaru Outback R
2006-2008 Subaru Outback R L.L. Bean Edition
2006 Subaru Outback R VDC Limited
2005-2006 Subaru Outback XT
2005-2009 Subaru Outback XT Limited
2015 Subaru XV Crosstrek Base
2014-2015 Subaru XV Crosstrek Hybrid
2014-2015 Subaru XV Crosstrek Hybrid Touring
2013-2015 Subaru XV Crosstrek Limited
2013-2015 Subaru XV Crosstrek Premium
2017-2020 Toyota 86 Base
2018-2020 Toyota 86 GT
2020 Toyota 86 Hakone Edition
2017 Toyota 86 Special Edition
2019 Toyota 86 TRD Special Edition
2022 Toyota GR86 Base
2022 Toyota GR86 Premium
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SKU: 52638125947

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4.4 ★★★★★
Based on 7 reviews
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Product Reviews
N
Nader
Lake Worth, 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
Houston, 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
Alexandria, 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
New York, 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
C
Verified Purchase
CL
Phoenix, US
★★★★★ 5
Loved it
Format: Paperback
I’ve easily read dozens of tech books. I liked this one a lot. Sure, there were boring parts, but most of it was engaging, especially on dry subjects. I previously read “How AI Works” and found this more informative and way more enjoyable. I got through the 700 pages in about 5 weeks while also learning about probability and linear algebra from other books and online sources. I’d love to read something more advanced by the author, maybe getting into more modern applications. I feel more comfortable with the subject and feel I am now ready to conquer more advanced texts. I initially picked this up to give me some background before reading “How to Build a LLM (from scratch)”. I’ve ordered an intermediary Deep Learning with Python book as well, but wouldn’t mind a more advanced theory book to accompany these books. I’ll definitely be rereading sections of this book to further familiarize myself with topics like backpropagation. Highly recommend if you’re looking for a gentle, but broad introduction to the topic.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on November 14, 2025

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