orbea gravel e bike damen Orbea Denna M40 28mph 2025 | Contender Bicycles Escape Green Gloss
SKU: 52383802340
orbea gravel e bike damen

orbea gravel e bike damen Orbea Denna M40 28mph 2025 | Contender Bicycles Escape Green Gloss

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Description

orbea gravel e bike damen Orbea Denna M40 28mph 2025 | Contender Bicycles Escape Green GlossThe Orbea Denna M40 28mph 2025 represents joyful adventure in its purest form, designed for riders who believe the best adventures never end and that there's always something exciting just around the corner or over the next hill. This electric gravel bike is all about removing limits, offering gravel tuned electric assistance that delivers power for the steepest climbs, traction for the loosest surfaces, and range for the longest rides imaginable.

The Orbea Denna M40 28mph 2025 represents joyful adventure in its purest form, designed for riders who believe the best adventures never end and that there's always something exciting just around the corner or over the next hill. This electric gravel bike is all about removing limits, offering gravel-tuned electric assistance that delivers power for the steepest climbs, traction for the loosest surfaces, and range for the longest rides imaginable.

Built around Orbea's advanced frame construction with strategic absorption points, the Denna M40 delivers controlled flex that quiets trail chatter while maintaining pedaling efficiency and precise handling. The innovative geometry features a shorter seat tube for optimized vibration absorption, balanced chainstay length for smooth yet responsive handling, and generous 50C tire clearance that accommodates everything from narrow road tires to mountain bike rubber for maximum versatility.

The powerful Shimano EP801 motor provides natural, intuitive assistance perfectly tuned for gravel adventures, while the substantial Orbea Internal 420Wh battery ensures you can tackle longer routes without range anxiety. The reliable Shimano Cues GS Shadow drivetrain delivers smooth shifting across varied terrain, complemented by the precision-engineered Oquo Road Control RC25PRO wheelset that balances strength, weight, and performance.

Perfect for riders seeking to expand their horizons and discover new possibilities in gravel exploration, the Denna M40 makes big days in the saddle a pleasure regardless of terrain. The horizon beckons with endless possibilities thanks to this bike's powerful motor, capable handling, and thoughtful design that enhances every ride without unnecessary complexity.

Key Features

  • Frame – Orbea Denna with Internal Cable Routing and Thru Axle 12x142mm
  • Motor – Shimano EP801 with Orbea Internal 420Wh Battery
  • Drivetrain – Shimano Cues GS Shadow
  • Clearance – 50C Tire Compatibility for Maximum Versatility
  • Wheelset – Oquo Road Control RC25PRO
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SKU: 52383802340

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4.1 ★★★★★
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Scott J. Pearson
Houston, US
★★★★★ 4
Understanding AI prompts as a science
Format: Audiobook
Prompt engineering is the art and science of finding the right words to generate the right responses from artificial intelligence (AI). It's becoming a skill in-demand in today's workplaces. It's also becoming an essential skill for life. To understand prompt engineering, you must understand how AI tools understand their inputs. This book explains that to you in many forms. It covers prompting as it intersects all the major AI disciplines, like general prompts (as in a ChatBot), fine-tuning, and retrieval-augmented generation (RAG). It also introduces how prompting intersects a couple of image-generation tools. As a scientist, I appreciate the theoretical approach to these practical matters. Too many people are hacks at AI these days, and any technical understanding can rapidly advance an individual's effectiveness. Prompt engineering is often made fun of as a "soft" topic, but as this book demonstrates, it intersects all the major AI areas. Presumably less garbage in means less garbage out. This book shows how you can make that take place. As typical for O'Reilly materials, this book appeals to people who desire an intermediate-to-advanced understanding of how AI works. It's not for the casual user. Anyone technical involved in professional knowledge generation using AI can benefit from understanding the dynamics "under the hood." It's a good, though perhaps not ground-breaking, textbook for those of us unable to take a class in the subject. Prompt engineering may be a soft topic to many, but books like this ground the field in the science that can make or break a digital or software product.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on December 13, 2025
J
Verified Purchase
Jason Bolton
Carnegie, US
★★★★★ 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
J
Verified Purchase
James Gianoglio
New York, US
★★★★★ 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
M
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Matt B
Lake Worth, US
★★★★★ 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
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SR
Louisville, US
★★★★★ 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

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