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Pedders 05-14 Ford Mustang (GT 500 Mount) EziFit SportsRyder Spring And Shock KitPedders has played a prominent role in the Australian automotive aftermarket industry 1950. In the summer of 2006 Pedders USA became a reality by selling specialised parts to automotive wholesalers and specialist workshops throughout the U. S. By 2010 Pedders USA had established industry partnerships with GM, Lingenfelter, Richard Petty and Saleen. Pedders has been featured on TV with West Coast Customs and in magazines such as Supercar builder. For
Pedders has played a prominent role in the Australian automotive aftermarket industry 1950. In the summer of 2006 Pedders USA became a reality by selling specialised parts to automotive wholesalers and specialist workshops throughout the U.S. By 2010 Pedders USA had established industry partnerships with GM, Lingenfelter, Richard Petty and Saleen. Pedders has been featured on TV with West Coast Customs and in magazines such as Supercar builder. For each new chassis Pedders USA develops an integrated and engineered suspension solution. There is no fixed formula. Its not an exact science. Our people identify the weaknesses in the OE suspension and develop Pedders components to correct them. We think like OE engineers, but without interference from sales, marketing and finance. We manufacture our Pedders parts to suit the automotive enthusiast and offer a comprehensive range of suspension components for most of the vehicles on the world's roads today, from AMC to Wolseley, with just about everything in between. We started in the USA with the fastest wide-body GTO on a road course. Next the fastest Chrysler 300C. Then Pedders USA's G8 and 5th Generation Camaro. When we moved to Ford, the results with the Saleen Mustang were the same. Our 'supercars' are developmental vehicles with purpose. We upgrade everything to make certain that we are testing at or above the levels of performance our customers will reach. We document every step of our development in enthusiast forums so they can benefit from our hard work. Ride quality is subjective. Our test cars serve as daily drivers. As we do our R & D work in AU and in the USA, the goal is to achieve a Pedders feel: the ideal balance between civility and performance handling. Pedders USA does not build parts for race cars. We make parts for the enthusiast driver that just happen to do extremely well on the race course. A fully Pedderised vehicle feels like a factory hot rod. It is quiet. It is comfortable. It handles.This Part Fits:
| Year | Make | Model | Submodel |
|---|---|---|---|
| 2005-2014 | Ford | Mustang | Base |
| 2012-2013 | Ford | Mustang | Boss 302 |
| 2008-2009 | Ford | Mustang | Bullitt |
| 2005-2014 | Ford | Mustang | GT |
| 2007-2008 | Ford | Mustang | Shelby GT |
| 2007-2014 | Ford | Mustang | Shelby GT500 |
| 2008-2009 | Ford | Mustang | Shelby GT500KR |
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4.2 ★★★★★
Based on 6 reviews
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Product Reviews
★★★★★ 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
★★★★★ 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.
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Reviewed in the United States on August 10, 2025
★★★★★ 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!
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Reviewed in the United States on June 27, 2025
★★★★★ 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.
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Reviewed in the United States on November 14, 2025
★★★★★ 5
A Good Place to Start Learning AI
Format: Paperback
Diving into the world of artificial intelligence can feel like stepping into a vast, uncharted ocean, and if you're looking for a reliable vessel to navigate these waters, this book is an excellent choice. However, I must be candid—this journey is not for the faint-hearted or those hoping to breeze through. The subject of AI, with its complex algorithms and intricate theories, is notoriously challenging. You won't find yourself flipping pages at a rapid pace, as this is not a title designed for speed-reading. Instead, it demands your full attention and a willingness to engage deeply with the material.
At the heart of AI lies mathematics—a fundamental pillar that underpins the entire discipline. This book, while comprehensive, offers only a glimpse into the mathematical framework that drives artificial intelligence. But don’t be disheartened by this. Think of it as a solid foundation, a primer that will arm you with the essential concepts needed before you delve deeper into the more advanced mathematical intricacies elsewhere. When you do eventually tackle those more complex equations, you'll find yourself better equipped, with a clearer understanding of the principles at play.
I should also mention that I'm no stranger to Andrew's work. Having explored some of his other writings, I can confidently say that he possesses a unique flair for communication. His ability to distill complex ideas into accessible language, without losing the essence of the subject, is truly commendable. Andrew writes with a certain finesse and sophistication that makes even the most daunting topics seem approachable. His style is not just informative, but also engaging, with a touch of elegance that sets his work apart from others in the field.
In summary, while the path to mastering AI is undeniably steep, this book serves as an invaluable guide. It’s not just a starting point; it’s a beacon for those who are serious about understanding the intricacies of artificial intelligence. Be prepared to invest time and effort, and in return, you'll gain a solid foothold in a subject that is as fascinating as it is complex.
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Reviewed in the United States on September 2, 2024