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Momentum’s unique filter-to-housing interface was built to feature the largest air filter possible. This 9” tall, pre-oiled 360-degree radial flow air filter features a 5-1/2” flange and our pre-oiled Pro 10R media with ten layers of progressively finer cotton gauze media for maximum performance and filtration. Its inverted top and large surface area provide much longer life between maintenance intervals, while reinforced metal provides maximum strength to prevent filter collapse. This media is best suited for off-road applications. Momentum’s innovative filter-to-housing interface was built to feature the largest air filter possible. Once the system is installed, the air filter can be easily removed from the housing for maintenance by only uninstalling the intake tube. The smooth one-piece sealed housing, constructed of heat-resistant cross-linked polyethylene (XLPE), features our patented (US PAT 9440175) filter-to-housing interface. Its innovative design minimizes the total number of parts, making for an easy installation. A large, clear sight window allows for hassle-free filter inspection, without having to disassemble your system. The housing incorporates factory air scoop inlets, using no additional hardware, and features an optional auxiliary air inlet that pulls in additional air. This system features a high quality, computer-designed, dyno-tuned intake tube to achieve maximum power gains while maintaining a perfect fit. Its XLPE material is heat soak resistant and extremely durable. Stainless-steel clamps and a silicone coupling are used for strength and durability. Momentum HD intakes are designed with fewer parts for a fast and easy installation.Shipping Notes
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4.1 ★★★★★
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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