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Description
Scalpel 3Thrill ride. With the most advanced XC suspension and geometry, and rowdy ready spec, the new Scalpel redefines cross country speed again. FEATURES: Travel Advisory: Not just more travel better travel. Thanks to the magic of our FlexPivot kinematics and Proportional Response suspension, Scalpels 120mm of travel delivers unreal traction, more control, and a hell of a lot more fun with all the efficiency and responsiveness youd expect from a World Cup
Thrill ride. With the most advanced XC suspension and geometry, and rowdy-ready spec, the new Scalpel redefines cross-country speed – again.
FEATURES:
-
Travel Advisory: Not just more travel – better travel. Thanks to the magic of our FlexPivot kinematics and Proportional Response suspension, Scalpel’s 120mm of travel delivers unreal traction, more control, and a hell of a lot more fun – with all the efficiency and responsiveness you’d expect from a World Cup race rig.
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Devilishly Fast: Speed starts with the geometry, and Scalpel’s got the hole shot. It has a slack 66.6º head tube angle, a steeper 75.5º seat tube angle, and chainstays that get longer as the frames get bigger to keep the rider more balanced between the wheels. The result? More power and traction on the climbs, more pinpoint control in the corners, and a whole new level of confidence at speed.
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The Beauty of Speed: This ain’t no fashion statement. This is pure, purposeful design. Every element of the Scalpel’s form is driven by function above all – kinematics, weight, stiffness, and capability. Features drive the shape, instead of the shape constraining the features. And fast looks good.
SPECS:
| Frame | Scalpel, Series 1 Carbon construction, 120mm travel, Proportional Response Suspension and Geometry, FlexPivot Chainstay, full internal cable routing, 73mm BSA, 1.5" headtube with 1-1/8" upper reducer/internal cable guide, 148x12mm thru axle, 55mm chainline, UDH, post-mount disc – 160mm native |
| Fork | RockShox SID Select, 120mm, Debonair, 15x110mm thru-axle, tapered steerer, 44mm offset |
| Rear Shock | RockShox SIDLuxe Select+, 2-Pos mode adjust, adjustable rebound, 190x45 |
|
Rims/Wheels
|
Stan's NoTubes Crest MK4, 28h, tubeless ready |
| Hubs | (F) Shimano TC-500, 15x110mm thru-axle / (R) Shimano TC-500, 12x148mm thru-axle |
| Spokes | DT Swiss Competition Race |
| Tires | (F) Maxxis Rekon Race WT, 29x2.4", EXO Protection, tubeless ready / (R) Maxxis Aspen WT, 29x2.4", EXO Protection, tubeless ready |
| Crankset | Shimano Deore M6120 |
| Chainrings | 32T |
| Chain Guide | N/A |
|
Bottom Bracket
|
Shimano BSA 73mm |
| Chain | Shimano SLX M7100, 12-speed |
|
Rear Derailleur
|
Shimano XT |
|
Cassette/Rear Cogs
|
Shimano XT, 10-51, 12-speed |
| Shifters | Shimano XT, 12-speed |
| Handlebars | Cannondale 2 Flat, butted 2014 Alloy, 31.8mm, 3° rise, 8° sweep, 760mm |
| Grips | Cannondale XC Silicone |
| Stem | Cannondale C1 Conceal, Alloy, 31.8, -6° |
| Brakes | Shimano Deore M6100, 180/160mm RT54 rotors |
| Pedals | Sold Separately |
| Saddle | Prologo Dimension NDR, STN rails |
| Seat Post | Cannondale DownLow Dropper, internal routing, 31.6, 125mm (S), 150mm (M-XL) |
Shipping Notes
- Free Standard Shipping on $100+ Orders to the USA.
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Exchange/Return Notes
- We offer a 30-day return/exchange service after receiving.
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4.6 ★★★★★
Based on 22 reviews
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Product Reviews
★★★★★ 3
A Broad Overview, But Light on Modern Fine-Tuning
Format: Paperback
I'm currently really interested in fine-tuning LLMs and recently completed my first LoRA-based fine-tuning on a quantized model. I came to this book looking for more detail on fine-tuning. While it touches on the topic, I found the content didn’t quite align with the current state of the field in 2025. Techniques like LoRA, QLoRA, and PEFT weren’t really covered, and the material leaned more toward what I think are older or lower level approaches. That made it harder to connect with what I’m actually working on.
That said, when I shifted to other chapters — like the sections on prompt engineering techniques such as Chain of Thought (CoT) and Tree of Thought (ToT) — I found more value. These sections were clearer, and I picked up a few practical insights, like using few-shot examples that walk through the CoT reasoning process. That’s not something I’ve tried before, and I can see how it might help smaller models that struggle with any type of reasoning tasks.
Overall, the book feels more like a broad overview of all LLM concepts. For someone exploring many topics across the LLM ecosystem, it offers a wide-ranging introduction. But for readers like me who are actively trying to learn and apply techniques like fine-tuning and quantization, it may leave you wanting up-to-date guidance.
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Reviewed in the United States on August 10, 2025
★★★★★ 5
Great foundation read for security!
Format: Paperback
This book is a great read! It builds a strong foundation and I would highly recommend it for builders who are interetsed in building on LLMs and ensuring everything is secure. Security is super important and this book does it justice!
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Reviewed in the United States on June 27, 2025
★★★★★ 5
Loved it
Format: Paperback
I’ve easily read dozens of tech books. I liked this one a lot. Sure, there were boring parts, but most of it was engaging, especially on dry subjects. I previously read “How AI Works” and found this more informative and way more enjoyable. I got through the 700 pages in about 5 weeks while also learning about probability and linear algebra from other books and online sources. I’d love to read something more advanced by the author, maybe getting into more modern applications. I feel more comfortable with the subject and feel I am now ready to conquer more advanced texts. I initially picked this up to give me some background before reading “How to Build a LLM (from scratch)”. I’ve ordered an intermediary Deep Learning with Python book as well, but wouldn’t mind a more advanced theory book to accompany these books. I’ll definitely be rereading sections of this book to further familiarize myself with topics like backpropagation. Highly recommend if you’re looking for a gentle, but broad introduction to the topic.
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Reviewed in the United States on November 14, 2025
★★★★★ 5
A Good Place to Start Learning AI
Format: Paperback
Diving into the world of artificial intelligence can feel like stepping into a vast, uncharted ocean, and if you're looking for a reliable vessel to navigate these waters, this book is an excellent choice. However, I must be candid—this journey is not for the faint-hearted or those hoping to breeze through. The subject of AI, with its complex algorithms and intricate theories, is notoriously challenging. You won't find yourself flipping pages at a rapid pace, as this is not a title designed for speed-reading. Instead, it demands your full attention and a willingness to engage deeply with the material.
At the heart of AI lies mathematics—a fundamental pillar that underpins the entire discipline. This book, while comprehensive, offers only a glimpse into the mathematical framework that drives artificial intelligence. But don’t be disheartened by this. Think of it as a solid foundation, a primer that will arm you with the essential concepts needed before you delve deeper into the more advanced mathematical intricacies elsewhere. When you do eventually tackle those more complex equations, you'll find yourself better equipped, with a clearer understanding of the principles at play.
I should also mention that I'm no stranger to Andrew's work. Having explored some of his other writings, I can confidently say that he possesses a unique flair for communication. His ability to distill complex ideas into accessible language, without losing the essence of the subject, is truly commendable. Andrew writes with a certain finesse and sophistication that makes even the most daunting topics seem approachable. His style is not just informative, but also engaging, with a touch of elegance that sets his work apart from others in the field.
In summary, while the path to mastering AI is undeniably steep, this book serves as an invaluable guide. It’s not just a starting point; it’s a beacon for those who are serious about understanding the intricacies of artificial intelligence. Be prepared to invest time and effort, and in return, you'll gain a solid foothold in a subject that is as fascinating as it is complex.
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Reviewed in the United States on September 2, 2024
★★★★★ 5
An enjoyable, and seriously excellent, path to understanding Deep Learning...
Format: Paperback
Deep Learning is changing our world. If you want to understand more, this is a great place to start. Andrew Glassner is a talented explainer - I took his short course on Deep Learning and learned so much, but also came away impressed at how well he can make complex material so clear and engaging. And this book is jammed packed with insights, visuals, and clear explanations. The author has a playful, sometimes quirky style that shines through, which gives this tour a lot of personality as well as information. Very enjoyable reading - I felt like he captured all that was good about his course (and then some) and bottled it up in this book. There is a lot more material here than in that course, and it is well laid-out and organized so that it is easy to roam around and come back to review the pieces that matter to you.
Even if you plan to go to on to be a world-class Deep Learning engineer or mathematician, you have to start by understanding the concepts. And this book does a great job of presenting all the core ideas in a way that makes them clear and memorable.
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Reviewed in the United States on August 5, 2021