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Ships within 48 hours · Estimated delivery Jul 13 - Jul 18
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Description
Wolf Tooth Front Thru Axle - RockShox, 15 x 110mm, RedThe Wolf Tooth axle uses a captive steel washer under the head to reduce friction on the fork leg. This protects your expensive fork, transfers more of the tightening torque to clamping load for a stiffer interface and prevents the axle from sticking or galling when you want to remove it. These are also a great replacement option for lost or damaged stock axles. Always apply a small amount of grease to the washer and threads when installing. Designed
The Wolf Tooth axle uses a captive steel washer under the head to reduce friction on the fork leg. This protects your expensive fork, transfers more of the tightening torque to clamping load for a stiffer interface and prevents the axle from sticking or galling when you want to remove it. These are also a great replacement option for lost or damaged stock axles. Always apply a small amount of grease to the washer and threads when installing.- Designed and manufactured in Minneapolis, MN USA
- 7075 T6 Aluminum
Product Specifics
- Over Locknut (mm): 110
- Axle Diameter (mm): 15
- Overall Length (mm): 158
- Thread Length (mm): 12
- Thread Pitch: 1.5
- Color: Red
- Weight: 47
Today's Stock Status
Currently not available
UPC: 812719026659
EAN: Not available
Manufacturer Part Number: AXLE15-110-SR-RED
FK8310
163324-Q0-L
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4.1 ★★★★★
Based on 448 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
WAS THIS REVIEW HELPFUL?YesReportShare
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.
WAS THIS REVIEW HELPFUL?YesReportShare
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.
WAS THIS REVIEW HELPFUL?YesReportShare
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.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on January 17, 2026
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