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E*thirteen Helix Race 12sp Cassette, 13-52t - GrayWork flawlessly with Shimano, SRAM, and TRP 12sp shifters, regardless of different cog spacing and chain behavior Improved reliability of a steel and aluminum assembly The Intergalactic PVD finishing is twice as durable as anodized models Designed for steep terrain where climbing time and shift frequency is high and descents are gravity driven, allowing optimized cadence and torque for more efficiency during climbs with smoother shifts under load for
- Work flawlessly with Shimano, SRAM, and TRP 12sp shifters, regardless of different cog spacing and chain behavior- Improved reliability of a steel and aluminum assembly
- The Intergalactic PVD finishing is twice as durable as anodized models
- Designed for steep terrain where climbing time and shift frequency is high and descents are gravity driven, allowing optimized cadence and torque for more efficiency during climbs with smoother shifts under load for both analog and ebikes
- 13-52t range compliments speed limited e-bikes where the highest gear, paired with a 32t chainring and 85rpm cadence, delivers speeds around 20mph, where e-bike motors cut off
- Special note for Hope hub owners: Hope XD drivers do not adhere to SRAM XD specification and require an additional shim. Shims can be acquired from E*Thirteen
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EAN: 4711280341467
Manufacturer Part Number: FW2HRA-110
EV7484 FW0155
175678-Q0-L
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4.3 ★★★★★
Based on 1257 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.
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Reviewed in the United States on January 17, 2026
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