SKU: 90818349341

Mishimoto Mazda Oil FIller Cap - Red

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Description

Mishimoto Mazda Oil FIller Cap - Red1994 1997 Ford Aspire 1. 3 Liter ATX, 1994 1997 Ford Aspire 1. 3 Liter MTX, 1979 1981 Ford Courier 2. 0 Liter 3N71B, 1991 1996 Ford Escort 1. 8 Liter 4EAT F, 1991 1996 Ford Escort 1. 8 Liter G5M, 1984 1987 Ford Escort 2. 0 Liter ATX, 1984 1987 Ford Escort 2. 0 Liter MTX, 1989 1993 Ford Festiva 1. 3 Liter ATX, 1988 1993 Ford Festiva 1. 3 Liter MTX, 1993 1997 Ford Probe 2. 0 Liter 4EAT GF, 1994 1997 Ford Probe 2. 0 Liter CD4E, 1993 1997 Ford Probe 2. 0

1994-1997 Ford Aspire 1.3 Liter ATX, 1994-1997 Ford Aspire 1.3 Liter MTX, 1979-1981 Ford Courier 2.0 Liter 3N71B, 1991-1996 Ford Escort 1.8 Liter 4EAT-F, 1991-1996 Ford Escort 1.8 Liter G5M, 1984-1987 Ford Escort 2.0 Liter ATX, 1984-1987 Ford Escort 2.0 Liter MTX, 1989-1993 Ford Festiva 1.3 Liter ATX, 1988-1993 Ford Festiva 1.3 Liter MTX, 1993-1997 Ford Probe 2.0 Liter 4EAT-GF, 1994-1997 Ford Probe 2.0 Liter CD4E, 1993-1997 Ford Probe 2.0 Liter MTX, 1989-1992 Ford Probe 2.2 Liter 4EAT-G, 1989-1992 Ford Probe 2.2 Liter MTX, 1993-1997 Ford Probe 2.5 Liter 4EAT-GF, 1993-1997 Ford Probe 2.5 Liter MTX, 1984-1986 Ford Tempo 2.0 Liter ATX, 1984-1986 Ford Tempo 2.0 Liter MTX, 2006-2011 Hyundai Accent 1.6 Liter A4AF3, 2012-2013 Hyundai Accent 1.6 Liter A6GF1, 2007-2013 Hyundai Azera 3.3 Liter, 2011-2013 Hyundai Azera 3.3 Liter A6LF1, 2006-2011 Hyundai Azera 3.8 Liter, 2011 Hyundai Azera 3.8 Liter A6LF2, 2011-2013 Hyundai Elantra 1.8 Liter, 2011-2013 Hyundai Elantra 1.8 Liter, 2007-2012 Hyundai Elantra 2.0 Liter, 2007-2012 Hyundai Elantra 2.0 Liter, 2007-2008 Hyundai Entourage 3.8 Liter, 2011 Hyundai Equus 4.6 Liter 6HP26, 2012-2013 Hyundai Equus 5.0 Liter A8TR1, 2012-2013 Hyundai Genesis 3.8 Liter A8LR1, 2009-2011 Hyundai Genesis 3.8 Liter TB-60N, 2009-2011 Hyundai Genesis 4.6 Liter 6HP26, 2012 Hyundai Genesis 4.6 Liter A8LR1, 2012-2013 Hyundai Genesis 5.0 Liter A8LR1, 2010-2012 Hyundai Genesis Coupe 2.0 Liter A5SR1, 2013 Hyundai Genesis Coupe 2.0 Liter A8LR1, 2010-2013 Hyundai Genesis Coupe 2.0 Liter M6VR1, 2010-2012 Hyundai Genesis Coupe 3.8 Liter 6HP19, 2013 Hyundai Genesis Coupe 3.8 Liter A8LR1, 2010-2013 Hyundai Genesis Coupe 3.8 Liter M6VR2, 2010-2012 Hyundai Santa Fe 2.4 Liter A6LF2, 2010-2013 Hyundai Santa Fe 2.4 Liter A6MF2, 2002-2003 Hyundai Santa Fe 2.4 Liter F4A51, 2010-2011 Hyundai Santa Fe 2.4 Liter M6GF2, 2002-2003 Hyundai Santa Fe 2.7 Liter F4A51, 2013 Hyundai Santa Fe 3.3 Liter A6LF2 ...See Application Guide for Additional Fitments

This Part Fits:

Year Make Model Submodel
1994-1997 Ford Aspire Base
1994-1995 Ford Aspire SE
1979-1981 Ford Courier Base
1979-1981 Ford Courier XLT
1984-1985,1991-1996 Ford Escort Base
1984-1987 Ford Escort GL
1984-1987,1991-1996 Ford Escort GT
1984-1985 Ford Escort GT Turbo
1985-1986 Ford Escort L
1984-1986,1991-1996 Ford Escort LX
1991-1995 Ford Escort LX Sport
1992-1993 Ford Escort LX-E
1986-1987 Ford Escort Pony
1996 Ford Escort Sport
1990-1993 Ford Festiva GL
1988-1993 Ford Festiva L
1990 Ford Festiva L Plus
1988-1990 Ford Festiva LX
1991-1997 Ford Probe Base
1989-1992 Ford Probe GL
1989-1997 Ford Probe GT
1997 Ford Probe GTS
1989-1992 Ford Probe LX
1991-1996 Ford Probe SE
1984-1986 Ford Tempo Base
1984-1986 Ford Tempo GL
1984-1986 Ford Tempo GLX
1984-1986 Ford Tempo LX
2010 Hyundai Accent Blue
2011 Hyundai Accent GL
2006-2013 Hyundai Accent GLS
2007-2013 Hyundai Accent GS
2007-2013 Hyundai Accent SE
2012-2013 Hyundai Azera Base
2007-2011 Hyundai Azera GLS
2006-2011 Hyundai Azera Limited
2006-2007 Hyundai Azera SE
2010 Hyundai Elantra Blue
2007-2013 Hyundai Elantra GLS
2007,2011-2013 Hyundai Elantra Limited
2007-2010 Hyundai Elantra SE
2009 Hyundai Elantra Touring
2010-2012 Hyundai Elantra Touring GLS
2010-2012 Hyundai Elantra Touring SE
2013 Hyundai Elantra Coupe GS
2013 Hyundai Elantra Coupe SE
2013 Hyundai Elantra GT Base
2007-2008 Hyundai Entourage GLS
2007-2008 Hyundai Entourage Limited
2007 Hyundai Entourage SE
2011-2013 Hyundai Equus Signature
2011-2013 Hyundai Equus Ultimate
2009-2013 Hyundai Genesis 3.8
2009-2012 Hyundai Genesis 4.6
2012 Hyundai Genesis 5.0
2012-2013 Hyundai Genesis 5.0 R-Spec
2010-2013 Hyundai Genesis Coupe 2.0T
2010-2013 Hyundai Genesis Coupe 2.0T Premium
2010-2013 Hyundai Genesis Coupe 2.0T R-Spec
2010 Hyundai Genesis Coupe 2.0T Track
2010 Hyundai Genesis Coupe 3.8
2010-2013 Hyundai Genesis Coupe 3.8 Grand Touring
2011-2013 Hyundai Genesis Coupe 3.8 R-Spec
2010-2013 Hyundai Genesis Coupe 3.8 Track
2002-2005 Hyundai Santa Fe Base
2002-2013 Hyundai Santa Fe GLS
2006-2013 Hyundai Santa Fe Limited
2002-2005 Hyundai Santa Fe LX
2007-2012 Hyundai Santa Fe SE
2013 Hyundai Santa Fe Sport 2.0T
2013 Hyundai Santa Fe Sport Base
1993-1995 Hyundai Scoupe Base
1993-1995 Hyundai Scoupe LS
1993-1995 Hyundai Scoupe Turbo
2003-2004 Hyundai Sonata Base
2004-2006 Hyundai Sonata GL
2003-2013 Hyundai Sonata GLS
2011-2013 Hyundai Sonata Hybrid
2013 Hyundai Sonata Hybrid Limited
2007-2013 Hyundai Sonata Limited
2003-2006 Hyundai Sonata LX
2007-2013 Hyundai Sonata SE
2011-2013 Hyundai Tucson GL
2008-2013 Hyundai Tucson GLS
2008-2013 Hyundai Tucson Limited
2008-2009 Hyundai Tucson SE
2012-2013 Hyundai Veloster Base
2013 Hyundai Veloster Turbo
2007-2012 Hyundai Veracruz GLS
2007-2012 Hyundai Veracruz Limited
2007-2008 Hyundai Veracruz SE
2007-2009 Kia Amanti Base
2009 Kia Borrego EX
2009 Kia Borrego Limited
2009 Kia Borrego LX
2010-2013 Kia Forte EX
2010-2013 Kia Forte LX
2010-2013 Kia Forte SX
2010-2013 Kia Forte Koup EX
2010-2013 Kia Forte Koup SX
2004-2013 Kia Optima EX
2011-2012 Kia Optima Hybrid
2013 Kia Optima Hybrid EX
2013 Kia Optima Hybrid LX
2003-2013 Kia Optima LX
2003 Kia Optima SE
2009-2013 Kia Optima SX
2013 Kia Optima SXL
2006-2011 Kia Rio Base
2012-2013 Kia Rio EX
2006-2013 Kia Rio LX
2007-2013 Kia Rio SX
2008-2011 Kia Rio5 LX
2006-2011 Kia Rio5 SX
2007-2010 Kia Rondo EX
2007-2010 Kia Rondo LX
2007-2010 Kia Sedona Base
2006-2012 Kia Sedona EX
2006-2012 Kia Sedona LX
1998-2000 Kia Sephia Base
1994-1997 Kia Sephia GS
1994-2000 Kia Sephia LS
1994-1997 Kia Sephia RS
2007-2009,2011-2012 Kia Sorento Base
2003-2009,2011-2013 Kia Sorento EX
2003-2009,2011-2013 Kia Sorento LX
2011-2013 Kia Sorento SX
2010-2013 Kia Soul !
2010-2013 Kia Soul +
2010-2013 Kia Soul Base
2010-2011 Kia Soul Sport
2008-2009 Kia Spectra EX
2008-2009 Kia Spectra LX
2008-2009 Kia Spectra SX
2008-2009 Kia Spectra5 SX
1995-2002,2011-2013 Kia Sportage Base
1995-2001,2005-2013 Kia Sportage EX
2001 Kia Sportage Limited
2005-2013 Kia Sportage LX
2011-2013 Kia Sportage SX
2011-2013 Mazda 2 Sport
2011-2013 Mazda 2 Touring
1986-1994 Mazda 323 Base
1986-1988 Mazda 323 DX
1988 Mazda 323 GT
1988-1989 Mazda 323 GTX
1986-1989 Mazda 323 LX
1988-1993 Mazda 323 SE
1979-1983 Mazda 626 Base
1984-1998 Mazda 626 DX
1993-2002 Mazda 626 ES
1986-1987,1990-1991 Mazda 626 GT
1991 Mazda 626 LE
1981-2002 Mazda 626 LX
1988-1989 Mazda 626 Turbo
1988 Mazda 626 Turbo 4WS
1972-1977 Mazda 808 Base
1988-1995 Mazda 929 Base
1990-1991 Mazda 929 S
1972-1976 Mazda B1600 Base
1977-1978 Mazda B1800 Base
1979-1981,1986-1987 Mazda B2000 Base
1986-1987 Mazda B2000 LX
1986-1987 Mazda B2000 SE-5
1980-1981 Mazda B2000 Sundowner
1982-1984 Mazda B2000 Sundowner Base
1982-1983 Mazda B2000 Sundowner DLX
1984 Mazda B2000 Sundowner SE-5
1980-1984 Mazda B2000 Sundowner Sport
1987-1993 Mazda B2200 Base
1990-1993 Mazda B2200 LE-5
1987-1989 Mazda B2200 LX
1987-1993 Mazda B2200 SE-5
1982-1984 Mazda B2200 Sundowner Base
1982-1983 Mazda B2200 Sundowner DLX
1989-1993 Mazda B2600 Base
1990-1993 Mazda B2600 LE-5
1989 Mazda B2600 LX
1989-1993 Mazda B2600 SE-5
1976-1978 Mazda Cosmo Base
1978-1980 Mazda GLC Base
1980 Mazda GLC Custom
1977-1979 Mazda GLC DX
1977 Mazda GLC LX
1978-1980 Mazda GLC Sport
1999 Mazda Miata 10th Anniversary
1990-1997,1999-2005 Mazda Miata Base
1993 Mazda Miata LE
2000-2005 Mazda Miata LS
1994-1997 Mazda Miata M Edition
2004-2005 Mazda Miata Mazdaspeed
1991,2000-2003 Mazda Miata SE
2003 Mazda Miata Shinsen
1997 Mazda Miata STO
1995-2002 Mazda Millenia Base
1995-1998 Mazda Millenia L
2000 Mazda Millenia Millennium Edition
1995-2000,2002 Mazda Millenia S
1989-1992 Mazda MPV Cargo
1996 Mazda MPV DX
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SKU: 90818349341

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4.4 ★★★★★
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noam barkay
Birmingham, 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
Omaha, 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.
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Reviewed in the United States on August 10, 2025
V
Vineeth Sai
Fort Morgan, 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!
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Reviewed in the United States on June 27, 2025
C
Verified Purchase
CL
Cuba, 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.
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Reviewed in the United States on November 14, 2025
A
Verified Purchase
Amazon Customer
Grantham, 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.
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Reviewed in the United States on September 2, 2024

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