Yukon Gear Replacement Yoke For Dana 60 and 70 w/ A 1330 U/Joint Size
SKU: 80746410383

Yukon Gear Replacement Yoke For Dana 60 and 70 w/ A 1330 U/Joint Size

$166.49 $184.99
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Description

Yukon Gear Replacement Yoke For Dana 60 and 70 w/ A 1330 U/Joint SizeYukon replacement yoke for Dana 60 and 70 with a 1330 U joint size. 3. 625" snap ring span, 1. 062" cap diameter. Outside snap ring. This yoke uses U bolts. All Yukon yokes come with a one year warranty against manufacturing defects. This is a u bolt style yoke. This Part Fits: Year Make Model Submodel 1967 1972 Chevrolet C10 Pickup Base 1967 1972 Chevrolet C10 Suburban Base 1964 1972 Chevrolet C20 Pickup Base 1975 1981 Chevrolet C30 Cheyenne 1981

Yukon replacement yoke for Dana 60 and 70 with a 1330 U/joint size. 3.625" snap ring span, 1.062" cap diameter. Outside snap ring. This yoke uses U-bolts. All Yukon yokes come with a one year warranty against manufacturing defects. This is a u/bolt style yoke.

This Part Fits:

Year Make Model Submodel
1967-1972 Chevrolet C10 Pickup Base
1967-1972 Chevrolet C10 Suburban Base
1964-1972 Chevrolet C20 Pickup Base
1975-1981 Chevrolet C30 Cheyenne
1981-1986 Chevrolet C30 Custom
1975-1980 Chevrolet C30 Custom Deluxe
1981 Chevrolet C30 Deluxe
1975-1986 Chevrolet C30 Scottsdale
1975-1986 Chevrolet C30 Silverado
1974 Chevrolet C30 Pickup Base
1994-1997 Chevrolet C3500 Base
1988-1998 Chevrolet C3500 Cheyenne
1988-1992 Chevrolet C3500 Scottsdale
1988-1998 Chevrolet C3500 Silverado
1988 Chevrolet Corvette 35th Anniversary Edition
1993 Chevrolet Corvette 40th Anniversary Edition
1985-1997 Chevrolet Corvette Base
1996 Chevrolet Corvette Collector's Edition
1996 Chevrolet Corvette Grand Sport
1986,1995 Chevrolet Corvette Indianapolis 500 Pace Car
1990-1995 Chevrolet Corvette ZR-1
2003-2009 Chevrolet Express 2500 Base
2003-2009 Chevrolet Express 2500 LS
2006-2009 Chevrolet Express 2500 LT
1996-2001,2003-2010 Chevrolet Express 3500 Base
1996-2001,2003-2010 Chevrolet Express 3500 LS
2006-2010 Chevrolet Express 3500 LT
1969-1972 Chevrolet G10 Van Base
1968-1972 Chevrolet G10 Van Sportvan
1979-1990 Chevrolet G30 Beauville
1983-1984 Chevrolet G30 Bonaventure
1979-1990 Chevrolet G30 Chevy Van
1979-1990 Chevrolet G30 Hi-Cube
1979-1990 Chevrolet G30 Sportvan
1967-1972 Chevrolet K10 Pickup Base
1967-1972 Chevrolet K10 Suburban Base
1967-1972 Chevrolet K20 Suburban Base
1977-1981 Chevrolet K30 Cheyenne
1981-1986 Chevrolet K30 Custom
1977-1980 Chevrolet K30 Custom Deluxe
1981 Chevrolet K30 Deluxe
1977-1986 Chevrolet K30 Scottsdale
1977-1986 Chevrolet K30 Silverado
1970-1974 Chevrolet K30 Pickup Base
1988-1989 Chevrolet K3500 Cheyenne
1988-1989 Chevrolet K3500 Scottsdale
1988-1989 Chevrolet K3500 Silverado
1997-1999 Chevrolet P30 Base
1988 Chevrolet R30 Cheyenne
1987-1988 Chevrolet R30 Custom Deluxe
1987-1988 Chevrolet R30 Scottsdale
1987-1988 Chevrolet R30 Silverado
1964-1966 Chevrolet Suburban Base
1988 Chevrolet V30 Cheyenne
1987-1988 Chevrolet V30 Custom Deluxe
1987-1988 Chevrolet V30 Scottsdale
1987-1988 Chevrolet V30 Silverado
1975-1980 Dodge B100 Base
1971-1974 Dodge B100 Van Base
1971-1974 Dodge B100 Van Sportsman
1975-1980 Dodge B200 Base
1971-1974 Dodge B200 Van Base
1972-1974 Dodge B200 Van Maxi
1972-1974 Dodge B200 Van Maxi Wagon
1971-1974 Dodge B200 Van Sportsman
1981-1994 Dodge B250 Base
1995-1998 Dodge B2500 Base
1975-1980 Dodge B300 Base
1971-1974 Dodge B300 Van Base
1972-1974 Dodge B300 Van Maxi
1972-1974 Dodge B300 Van Maxi Wagon
1971-1974 Dodge B300 Van Sportsman
1981-1994 Dodge B350 Base
1995-1998 Dodge B3500 Base
1969-1971 Dodge Charger 500
1966-1974 Dodge Charger Base
1969 Dodge Charger Daytona
1967-1971 Dodge Charger R/T
1969 Dodge Charger SE
1971-1974 Dodge Charger Special Edition
1971 Dodge Charger Super Bee
1977-1980 Dodge D200 Base
1975-1976 Dodge D200 Custom
1968-1974 Dodge D200 Pickup Base
1960-1967 Dodge D200 Series Base
1981-1993 Dodge D250 Base
1977-1980 Dodge D300 Base
1975-1976 Dodge D300 Custom
1968-1974 Dodge D300 Pickup Base
1960-1967 Dodge D300 Series Base
1981-1993 Dodge D350 Base
1968 Dodge Dart 270
1968-1976 Dodge Dart Base
1969-1975 Dodge Dart Custom
1971-1972 Dodge Dart Demon
1971-1972 Dodge Dart Demon 340
1968-1969 Dodge Dart GT
1968-1969 Dodge Dart GTS
1971-1974 Dodge Dart Special
1974-1975 Dodge Dart Special Edition
1973-1976 Dodge Dart Sport
1973 Dodge Dart Sport 340
1974-1975 Dodge Dart Sport 360
1969-1976 Dodge Dart Swinger
1969-1970 Dodge Dart Swinger 340
1975-1976 Dodge Dart Swinger Special
2004-2006 Dodge Ram 1500 Laramie
2004-2006 Dodge Ram 1500 SLT
2006 Dodge Ram 1500 Sport
2004-2006 Dodge Ram 1500 SRT-10
2004-2006 Dodge Ram 1500 ST
1994-2002 Dodge Ram 2500 Base
1999-2003 Dodge Ram 2500 Van Base
1994-2002 Dodge Ram 3500 Base
1999-2003 Dodge Ram 3500 Van Base
1993 Dodge Ramcharger Base
1993 Dodge Ramcharger Canyon Sport
1993 Dodge Ramcharger Royal SE
1999-2002 Dodge Viper ACR
1992-1996 Dodge Viper Base
1998 Dodge Viper GT2
1996-2002 Dodge Viper GTS
1997-2002 Dodge Viper R/T-10
2003-2006,2008-2010 Dodge Viper SRT-10
2008-2010 Dodge Viper SRT-10 ACR
1975-1980 Dodge W200 Base
1968-1974 Dodge W200 Pickup Base
1963-1967 Dodge W200 Series Base
1981-1993 Dodge W250 Base
1977-1980 Dodge W300 Base
1975-1976 Dodge W300 Custom
1968-1974 Dodge W300 Pickup Base
1960-1967 Dodge W300 Series Base
1981-1993 Dodge W350 Base
2008-2013 Ford E-150 Base
2008-2013 Ford E-150 XL
2008-2013 Ford E-150 XLT
1969-1974 Ford E-200 Econoline Base
1971-1972 Ford E-200 Econoline Chateau Wagon
1969-1974 Ford E-200 Econoline Club Wagon
1970-1974 Ford E-200 Econoline Custom Wagon
2003-2014 Ford E-250 Base
1975-1982,1984-1986,1992-2002 Ford E-250 Econoline Base
1975-1982 Ford E-250 Econoline Chateau
1975-1983,1987-1991 Ford E-250 Econoline Custom
1975-1978 Ford E-250 Econoline Northland
1983-2000 Ford E-250 Econoline XL
1969-1974 Ford E-300 Econoline Base
1970-1974 Ford E-300 Econoline Chateau Wagon
1969-1974 Ford E-300 Econoline Club Wagon
1971-1972 Ford E-300 Econoline Custom Wagon
1975-1982,1984-1986,1992-1998 Ford E-350 Econoline Base
1975-1982 Ford E-350 Econoline Chateau
1975-1983,1987-1991 Ford E-350 Econoline Custom
1975-1978 Ford E-350 Econoline Northland
1983-1998 Ford E-350 Econoline XL
1999 Ford E-350 Econoline Club Wagon Chateau
1999 Ford E-350 Econoline Club Wagon Custom
1999 Ford E-350 Econoline Club Wagon XLT
2000-2015 Ford E-350 Super Duty Base
2006 Ford E-350 Super Duty Chateau
2000,2006-2014 Ford E-350 Super Duty XL
2006-2014 Ford E-350 Super Duty XLT
1965-1971 Ford F-100 Base
1954-1974,1976-1978,1983-1986,1997-1999 Ford F-250 Base
1975-1982,1987-1992 Ford F-250 Custom
1995-1996 Ford F-250 Eddie Bauer
1997-1999 Ford F-250 Lariat
1975-1978 Ford F-250 Northland
1975-1981 Ford F-250 Ranger
1978-1981 Ford F-250 Ranger Lariat
1975-1981 Ford F-250 Ranger XLT
1995-1996 Ford F-250 Special
1982-1999 Ford F-250 XL
1982-1983 Ford F-250 XLS
1977,1983-1984,1993-1999 Ford F-250 XLT
1982,1985-1992 Ford F-250 XLT Lariat
2009-2010 Ford F-250 Super Duty Cabela's
2008-2009 Ford F-250 Super Duty FX4
2004-2010 Ford F-250 Super Duty Harley-Davidson Edition
2004-2015 Ford F-250 Super Duty King Ranch
1999-2015 Ford F-250 Super Duty Lariat
2013-2015 Ford F-250 Super Duty Platinum
1999-2015 Ford F-250 Super Duty XL
1999-2015 Ford F-250 Super Duty XLT
1970-1974,1976-1978,1983-1986,1997 Ford F-350 Base
1975-1982,1987-1992 Ford F-350 Custom
1995 Ford F-350 Eddie Bauer
1975-1978 Ford F-350 Northland
1975-1981 Ford F-350 Ranger
1978-1981 Ford F-350 Ranger Lariat
1975-1981 Ford F-350 Ranger XLT
1995-1996 Ford F-350 Special
1982-1997 Ford F-350 XL
1982-1983 Ford F-350 XLS
1977,1983-1984,1993-1997 Ford F-350 XLT
1982,1985-1992 Ford F-350 XLT Lariat
2009-2010 Ford F-350 Super Duty Cabela's
2008-2009 Ford F-350 Super Duty FX4
2004-2010 Ford F-350 Super Duty Harley-Davidson Edition
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SKU: 80746410383

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4.9 ★★★★★
Based on 249 reviews
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Product Reviews
O
Om S
Phoenix, US
★★★★★ 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
J
Jiewen Wang
Port Orchard, US
★★★★★ 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
N
Nader
Cuba, 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
Lexington, 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
Chelsea, 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

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