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Cometic 03+ Subaru EJ255/EJ257 101mm .040 inch MLS Head GasketComprised of multiple embossed layers of stainless steel with the outer layers utilizing a Viton rubber coating. Compressed operating thickness is 0. 036". World Products Man o War Block. Cometic MLS (Multi Layer Steel) Head Gaskets provide maximum sealing performance for todays high output engines and require no sealants. MLS gaskets are ideal for both aluminum heads to aluminum blocks and aluminum heads to cast iron blocks. They can withstand the
Comprised of multiple embossed layers of stainless steel with the outer layers utilizing a Viton rubber coating. Compressed operating thickness is 0.036". World Products Man-o-War Block. Cometic MLS (Multi-Layer Steel) Head Gaskets provide maximum sealing performance for todays high output engines and require no sealants. MLS gaskets are ideal for both aluminum heads to aluminum blocks and aluminum heads to cast iron blocks. They can withstand the shearing force created by the two materials. MLS gaskets have increased strength because they are comprised of multiple layers of stainless steel; which also creates the ability to rebound and resist corrosion. The outer layers are embossed and coated on both sides with Viton (a flour elastomer rubber based material that is heat resistant to 250 C/ 482 F). Viton is designed to meet the demands of a variety of harsh sealing environments, load conditions, and surface finishes. The center or shim layer is uncoated stainless steel, which can be varied to accommodate multiple thickness requirements.This Part Fits:
| Year | Make | Model | Submodel |
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| 2006 | Saab | 9-2X | Aero |
| 2004-2006 | Subaru | Baja | Turbo |
| 2008 | Subaru | Forester | Sports 2.5 XT |
| 2009-2013 | Subaru | Forester | X Limited |
| 2009-2013 | Subaru | Forester | X Premium |
| 2004-2005,2009 | Subaru | Forester | XT |
| 2006-2010 | Subaru | Forester | XT Limited |
| 2005,2010-2013 | Subaru | Forester | XT Premium |
| 2011-2013 | Subaru | Forester | XT Touring |
| 2009-2010 | Subaru | Impreza | 2.5 GT |
| 2013-2014 | Subaru | Impreza | Base |
| 2013-2014 | Subaru | Impreza | Limited |
| 2004-2014 | Subaru | Impreza | WRX |
| 2006-2007,2010-2014 | Subaru | Impreza | WRX Limited |
| 2009-2014 | Subaru | Impreza | WRX Premium |
| 2004-2014 | Subaru | Impreza | WRX STI |
| 2007,2011-2014 | Subaru | Impreza | WRX STI Limited |
| 2010 | Subaru | Impreza | WRX STI Special Edition |
| 2006-2007 | Subaru | Impreza | WRX TR |
| 2010-2012 | Subaru | Legacy | 2.5GT |
| 2004-2006 | Subaru | Legacy | GT |
| 2005,2007-2009 | Subaru | Legacy | GT Limited |
| 2006-2009 | Subaru | Legacy | GT spec.B |
| 2005-2006 | Subaru | Outback | XT |
| 2005-2009 | Subaru | Outback | XT Limited |
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4.4 ★★★★★
Based on 12 reviews
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Product Reviews
★★★★★ 5
Great book
Format: Paperback
Great book! It is helpful as I work towards my Masters of Science in Applied Artificial Intelligence
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Reviewed in the United States on December 20, 2025
★★★★★ 5
Comprehensive Guide with Practical Insights
Format: Paperback
This is a solid book for understanding the art and science of working with LLMs and other generative AI models. I always struggled with getting the output I was looking for, and wasn't sure how best to "ask" the models for what I wanted. This book did a great job of laying out the strategies and practical guidance to craft the prompts. There were a lot of tips and tricks, but the overall understanding and framework around prompt engineering has been super useful.
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Reviewed in the United States on June 25, 2024
★★★★★ 5
A must read!
Format: Paperback
Hands down, the best book on prompt engineering and implementing LLMs. Really enjoyed Michael and James deep dive. Whether you're technical or not, this book is foundational to a deeper understanding in how to properly explore and implement LLMs.
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Reviewed in the United States on June 25, 2024
★★★★★ 4
Helpful for GPT/LangChain framework
Format: Paperback
I applaud the authors for putting forth a comprehensive introduction in a rapidly evolving space. I absorbed a lot, helpful as I was developing a prototype — using open source methods.
And that’s where I was disappointed. The LLM and examples are highly adapted to OpenAI’s GPT-x and the bulky LangChain framework, something not obvious until you dig in to the book. Sure, this may be where newbie demand was when the authors began writing. But as the open source models and OpenAI alternatives gain speed (e.g. Llama 3.1, Groq, etc.) this book may quickly need an updated and expanded version to stay relevant.
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Reviewed in the United States on August 7, 2024
★★★★★ 3
Good concepts, but uneven depth
Format: Paperback
Some helpful prompt frameworks, but parts felt repetitive and a few sections stayed too high-level for advanced users. Beginners will likely benefit more than experienced practitioners. If you’re new to prompt engineering it’s a decent starting point; if you’re already building structured prompts daily, it may feel light.
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Reviewed in the United States on January 17, 2026