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Fox 2.0 Performance Series Smooth Body IFP Rear Shock / 0-1.5in LiftIncrease your vehicle's off road capability by extending drop out travel in most applications. Experience on road comfort with performance minded shock valving for a connected ride with less vehicle sway. Tuned specifically for your vehicles application._x000D__x000D_Consistent and fade resistant performance due to high quality materials: aluminum bodies, race developed main piston, and a true internal floating piston (IFP) to separate gas and
Increase your vehicle's off-road capability by extending drop-out travel in most applications. Experience on-road comfort with performance-minded shock valving for a connected ride with less vehicle sway. Tuned specifically for your vehicle’s application._x000D__x000D_Consistent and fade-resistant performance due to high-quality materials: aluminum bodies, race-developed main piston, and a true internal floating piston (IFP) to separate gas and oil._x000D__x000D_Built-to-last, torture-tested and race-proven to give a lifetime of great rides. FOX products are built from aluminum, dissipating heat four times better than conventional materials. All FOX shocks are fully serviceable and resistant to corrosion and harsh environments.Shipping Notes
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4.3 ★★★★★
Based on 19 reviews
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Product Reviews
★★★★★ 4
Beginners Guide to Running Your Own Private LLM
Format: Kindle
I just read this book and really enjoyed how it breaks down using Ollama as your own private LLM. It gives you just enough info to spark some cool ideas and make you want to dive deeper into AI. If you’re totally new and curious, this is a fun, easy place to start!
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Reviewed in the United States on August 4, 2025
★★★★★ 5
Lim provides an easy-to-follow path to get an LLM-powered app up and running
Format: Kindle
Lim has written another really clear, easy-to-follow tutorial. This one walked me through the Ollama platform showing step-by-step how to download open weight models, query them, supply them with my own documents, and write applications that are powered by LLMs. Lim provides an easy-to-follow path to get the first version of an LLM-powered app up and running.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on February 20, 2026
★★★★★ 5
Excellent roadmap for the local AI jungle
Format: Paperback
Great little book.
Every page has something useful. No fluff. Clearly written by someone whose been in the trenches lol
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Reviewed in the United States on September 23, 2025
★★★★★ 5
Great primer for building LLM Applications
Format: Kindle
I highly recommend the book for anyone who wants to come up to speed on running Ollama for open models. The book is well structure and teach you how to create a working RAG Application. I recommend as a primer for anyone interested in building LLM Applications.
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Reviewed in the United States on May 5, 2025
★★★★★ 5
Breaks down complex concepts into bite-sized, practical chapters.
Format: Kindle
This hands-on guide to Ollama is exactly what I needed! The author breaks down complex concepts into bite-sized, practical chapters that get straight to the point. The sections on different Ollama models and customization were particularly helpful. If you're looking to learn about building local LLM-powered applications without any fluff, this book is a great investment.
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Reviewed in the United States on February 21, 2025
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