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Description
Satori EZ3 Quill Height Adjustable Stem MTB Mountain Quick ReleaseSatori EZ3 stem Black for height adjustable stem mountain bike riding Ideal for rising the handle bars for easy straighter back riding. Quick Release System for easy adjustment. Quill connection style suits older style bikes SPEC: FORGED Forged AL6061 EXTENSION: 110mm BAR BORE: 31. 8mm TUBE: 25. 4 diameter Angle: 0~+80 rise Length: 160mm Weight: 400g Easy upper lever adjustment with SATORI safety button. Simple but powerful QR mechanism with pre
Satori EZ3 stem - Black - for height adjustable stem mountain bike riding
Ideal for rising the handle bars for easy straighter back riding.
Quick Release System for easy adjustment.
Quill connection style - suits older style bikes
SPEC:
FORGED Forged AL6061
FORGED Forged AL6061
EXTENSION: 110mm
BAR BORE: 31.8mm
TUBE: 25.4 diameter
Angle: -0°~+80° rise
Angle: -0°~+80° rise
Length: 160mm
Weight: 400g
Weight: 400g
- Easy upper lever adjustment with SATORI safety button.
- Simple but powerful QR mechanism with pre-adjust screw for handlebar tolerance control.
-
One-piece cold forged parts for lighter weight.
-
Serrated and precisely machined handlebar clamp for powerful clamping.
-
Inline pivot adjustment center for the most upright comfort position.
SATORI has been a leading supplier to the bicycle industry for almost 40 years, with a focus on providing innovative handlebars, stems and seat posts to bicycle assemblers and consumers globally...
Choose the travel distance required, tube sizing and cabling method (if in doubt check your bike specs first.)
Returns for incorrect purchases will incur costs Check our full range for compatibility
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4.0 ★★★★★
Based on 22 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