SKU: 38277388215

COMP Cams Camshaft Kit FW 270H K35-414-3

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Description

COMP Cams Camshaft Kit FW 270H K35-414-3COMP Cams Camshafts K35 414 3 CamShaft Kit, FW 270H Good for daily driven performance cars. Largest cam for stock converter. Lower gears. Mild rough ride. COMP Cams Camshaft Kit FW 270H Vehicle Fitments: Year Make Model Submodel 1981 1993 Ford Bronco Custom 1985 1995 Ford Bronco Eddie Bauer 1981 Ford Bronco Ranger XLT 1990 1995 Ford Bronco XL 1982 1983 Ford Bronco XLS 1984 1995 Ford Bronco XLT 1982 1993 Ford Bronco XLT Lariat 1992 Ford Bronco XLT Nite

COMP Cams Camshafts K35-414-3 CamShaft Kit, FW 270H Good for daily driven performance cars. Largest cam for stock converter. Lower gears. Mild rough ride. COMP Cams Camshaft Kit FW 270H

Vehicle Fitments:

Year Make Model Submodel
1981 - 1993 Ford Bronco Custom
1985 - 1995 Ford Bronco Eddie Bauer
1981 Ford Bronco Ranger XLT
1990 - 1995 Ford Bronco XL
1982 - 1983 Ford Bronco XLS
1984 - 1995 Ford Bronco XLT
1982 - 1993 Ford Bronco XLT Lariat
1992 Ford Bronco XLT Nite
1995 Ford Bronco XLT Sport
1969 - 1974 Ford Country Sedan Base
1969 - 1974 Ford Country Squire Base
1969 - 1972 Ford Custom Base
1969 - 1977 Ford Custom 500 Base
1976 - 1977 Ford Custom 500 Ranch Wagon
1975 - 1982 Ford E-100 Econoline Base, Chateau
1975 - 1983 Ford E-100 Econoline Custom
1975 - 1978 Ford E-100 Econoline Northland
1983 Ford E-100 Econoline XL
1975 - 1982 Ford E-100 Econoline Club Wagon Base, Chateau
1975 - 1983 Ford E-100 Econoline Club Wagon Custom
1975 - 1978 Ford E-100 Econoline Club Wagon Northland
1983 Ford E-100 Econoline Club Wagon XL
1975 - 1995 Ford E-150 Econoline Base
1975 - 1982 Ford E-150 Econoline Chateau
1975 - 1991 Ford E-150 Econoline Custom
1975 - 1978 Ford E-150 Econoline Northland
1983 - 1995 Ford E-150 Econoline XL
1975 - 1986 Ford E-150 Econoline Club Wagon Base
1975 - 1995 Ford E-150 Econoline Club Wagon Chateau, Custom
1975 - 1978 Ford E-150 Econoline Club Wagon Northland
1983 - 1991 Ford E-150 Econoline Club Wagon XL
1984 - 1995 Ford E-150 Econoline Club Wagon XLT
1975 - 1995 Ford E-250 Econoline Base
1975 - 1982 Ford E-250 Econoline Chateau
1975 - 1991 Ford E-250 Econoline Custom
1975 - 1978 Ford E-250 Econoline Northland
1983 - 1995 Ford E-250 Econoline XL
1975 - 1986 Ford E-250 Econoline Club Wagon Base
1975 - 1982 Ford E-250 Econoline Club Wagon Chateau
1975 - 1991 Ford E-250 Econoline Club Wagon Custom
1975 - 1978 Ford E-250 Econoline Club Wagon Northland
1983 - 1991 Ford E-250 Econoline Club Wagon XL
1984 - 1991 Ford E-250 Econoline Club Wagon XLT
1975 - 1995 Ford E-350 Econoline Base
1975 - 1982 Ford E-350 Econoline Chateau
1975 - 1991 Ford E-350 Econoline Custom
1975 - 1978 Ford E-350 Econoline Northland
1983 - 1995 Ford E-350 Econoline XL
1977 - 1986 Ford E-350 Econoline Club Wagon Base
1992 - 1995 Ford E-350 Econoline Club Wagon Chateau HD, XLT HD
1992 - 1993 Ford E-350 Econoline Club Wagon Custom HD
1977 - 1995 Ford E-350 Econoline Club Wagon Custom, Chateau
1977 - 1978 Ford E-350 Econoline Club Wagon Northland
1983 - 1991 Ford E-350 Econoline Club Wagon XL
1994 - 1995 Ford E-350 Econoline Club Wagon XL HD
1984 - 1995 Ford E-350 Econoline Club Wagon XLT
1975 - 1976 Ford Elite Base
1981 Ford F-100 Ranger, Custom, Ranger XLT, Ranger Lariat
1983 - 1986 Ford F-150 Base
1981 - 1992 Ford F-150 Custom
1995 Ford F-150 Eddie Bauer, Special
1993 - 1995 Ford F-150 Lightning
1981 - 1989 Ford F-150 Ranger
1981 Ford F-150 Ranger Lariat, Ranger XLT
1982 - 1995 Ford F-150 XL
1982 - 1983 Ford F-150 XLS
1983 - 1995 Ford F-150 XLT
1982 - 1992 Ford F-150 XLT Lariat
1983 - 1995 Ford F-250 Base, XLT
1981 Ford F-250 Ranger Lariat, Ranger XLT
1981 - 1994 Ford F-250 Ranger, Custom
1995 Ford F-250 Special, Eddie Bauer
1982 - 1995 Ford F-250 XL
1982 - 1983 Ford F-250 XLS
1982 - 1992 Ford F-250 XLT Lariat
1981 - 1994 Ford F-350 Base
1981 - 1992 Ford F-350 Custom
1981 Ford F-350 Ranger XLT, Ranger Lariat, Ranger
1995 Ford F-350 Special, Eddie Bauer
1982 - 1995 Ford F-350 XL
1982 - 1983 Ford F-350 XLS
1983 - 1995 Ford F-350 XLT
1982 - 1992 Ford F-350 XLT Lariat
1969 Ford Fairlane Base, 500
1969 - 1974 Ford Galaxie 500 Base
1969 - 1970 Ford Galaxie 500 XL
1973 - 1976 Ford Gran Torino Brougham
1974 - 1975 Ford Gran Torino Elite
1972 - 1975 Ford Gran Torino Sport
1972 - 1976 Ford Gran Torino Squire, Base
1975 - 1977 Ford Granada Ghia, Base
1969 - 1986 Ford LTD Base
1970 - 1986 Ford LTD Brougham
1976 - 1986 Ford LTD Country Squire
1980 - 1986 Ford LTD Crown Victoria
1986 Ford LTD Crown Victoria LX, Country Squire LX
1976 - 1979 Ford LTD Landau
1985 Ford LTD LX Brougham
1980 - 1982 Ford LTD S
1988 - 1991 Ford LTD Crown Victoria Base, S, LX
1977 - 1979 Ford LTD II Base, S
1977 - 1978 Ford LTD II Brougham
1979 Ford LTD II Landau
1977 Ford LTD II Squire
1969 - 1995 Ford Mustang Base
1969 - 1970 Ford Mustang Boss 302, Shelby GT-500, Shelby GT-350, Boss 429
1970 Ford Mustang Grande, Mach 1
1995 Ford Mustang GT, SVT Cobra R, SVT Cobra, GTS
1969 - 1974 Ford Ranch Wagon Base
1970 Ford Ranch Wagon Police Cruiser
1969 Ford Ranchero Base
1969 - 1979 Ford Ranchero GT, 500
1972 - 1979 Ford Ranchero Squire
1977 - 1979 Ford Thunderbird Base
1978 Ford Thunderbird Diamond Jubilee
1979 Ford Thunderbird Heritage
1978 - 1979 Ford Thunderbird Town Landau
1971 Ford Torino 500
1969 - 1976 Ford Torino Base
1969 - 1971 Ford Torino Squire, GT, Cobra
1970 - 1971 Ford Torino Super Cobra Jet, Brougham
1980 Lincoln Continental Base
1980 Lincoln Mark VI Base
1977 Lincoln Versailles Base
1971 Mercury Colony Park Base
1969 Mercury Comet Base
1969 - 1979 Mercury Cougar Base, XR-7
1969 - 1970 Mercury Cougar Boss 429, Boss 302, Cobra Jet
1977 Mercury Cougar Brougham, Villager
1969 Mercury Cyclone CJ, Spoiler, Base
1978 - 1986 Mercury Grand Marquis Base
1979 - 1986 Mercury Grand Marquis Colony Park
1986 Mercury Grand Marquis LS
1971 - 1981 Mercury Marquis Base, Brougham
1975 - 1977 Mercury Monarch Base, Ghia
1976 Mercury Monarch Grand Ghia
1969 - 1976 Mercury Montego Base, MX
1975 Mercury Montego Brougham
1972 - 1973 Mercury Montego GT
1972 - 1976 Mercury Montego MX Brougham
1976 Mercury Montego MX Villager
1972 - 1975 Mercury Montego Villager
1971 Mercury Monterey Base, Custom
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SKU: 38277388215

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4.8 ★★★★★
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Product Reviews
R
Ryan Meyer
Port Orchard, 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
Boise, 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
Whiting, 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
A
Verified Purchase
Amazon Customer
San Leandro, US
★★★★★ 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.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on September 2, 2024
M
Verified Purchase
MrGee
Boise, US
★★★★★ 5
An enjoyable, and seriously excellent, path to understanding Deep Learning...
Format: Paperback
Deep Learning is changing our world. If you want to understand more, this is a great place to start. Andrew Glassner is a talented explainer - I took his short course on Deep Learning and learned so much, but also came away impressed at how well he can make complex material so clear and engaging. And this book is jammed packed with insights, visuals, and clear explanations. The author has a playful, sometimes quirky style that shines through, which gives this tour a lot of personality as well as information. Very enjoyable reading - I felt like he captured all that was good about his course (and then some) and bottled it up in this book. There is a lot more material here than in that course, and it is well laid-out and organized so that it is easy to roam around and come back to review the pieces that matter to you. Even if you plan to go to on to be a world-class Deep Learning engineer or mathematician, you have to start by understanding the concepts. And this book does a great job of presenting all the core ideas in a way that makes them clear and memorable.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on August 5, 2021

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