2023 Specialized Epic World Cup Expert Mountain Bike GX AXS in Carbon
SKU: 59182431595

2023 Specialized Epic World Cup Expert Mountain Bike GX AXS in Carbon

Sale price$2474.55 Regular price$2749.50
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2023 Specialized Epic World Cup Expert Mountain Bike GX AXS in CarbonTHINK FASTEST: The Epic World Cup is the fastest XC race bike in the world on smooth to moderately technical courses thanks to its unmatched combination of efficiency, control, and light weight. World Champ Christopher Blevins said it best, This thing gives me everything I could want from a hardtail, plus the control and capability of full suspension. All it took to create this speed machine was a totally integrated development approach, inventing a

THINK FASTEST: The Epic World Cup is the fastest XC race bike in the world on smooth to moderately technical courses thanks to its unmatched combination of efficiency, control, and light-weight. World Champ Christopher Blevins said it best, “This thing gives me everything I could want from a hardtail, plus the control and capability of full suspension.” All it took to create this speed machine was a totally integrated development approach, inventing a radical new shock, and four decades of off-road winning experience.

FRAME OF REFERENCE: To deliver maximum speed through ruthlessly efficient power transfer and precision handling, our engineering team set and achieved new standards in torsional rigidity and BB stiffness. This feat required an integrated development approach that merged a structurally superior double diamond layout with its shock cradled inside the top-tube, and finished off with the most sophisticated composite layup in Specialized history.

SHOCKINGLY FAST: The Specialized Ride Dynamics team conceived of and invented a revolutionary shock technology for the Epic World Cup that gives the rider the efficiency and snappy response of a hardtail PLUS the control, capability, and momentum-carrying of full suspension—all with a simple setup. Co-developed with RockShox, the SID Deluxe WCID shock utilizes a unique independently adjustable positive and negative air springs to deliver the sought-after hardtail “snap”, combined with terrain-devouring forgiveness, and the ability to easily personalize set-up for a specific course or tune for rider preference and feel. Set it firm and it rides like a hardtail or open it up and you have a chunk-squashing ripper. But you aren't just limited “open and closed,” the simple nature of its setup allows the rider to set on a spectrum of firm to soft.

PUNCHING ABOVE ITS CATEGORY: The Epic World Cup’s 75mm of rear travel delivers control and capability of a much longer travel bike. Because it’s designed to be ridden at or close to topped-out, it yields the same positive travel as a 100mm travel bike set up with 25% sag. To further optimize suspension performance, the Specialized Ride Dynamics team tuned the spring-rate to be relatively flat through the mid-stroke to handle the majority of bump forces like a longer travel bike. Due to its large size, the custom Mega Jounce Bumper is an “industry first” and plays a crucial role in smoothly managing bottom-out on the biggest impacts.

HAVE WE LOST OUR MINDS? SORT OF: While the new, and groundbreaking SID Deluxe WCID shock provides the unique blend of support and compliance in the rear, the BRAIN is still alive and well in the fork. Its Position-Sensitive technology allows riders to sag into the fork 15mm for a balanced ride, providing supple small bump compliance and a firm pedaling platform without the need for a remote lockout or levers to flip.

THE WEIGHT IS OVER: With a frame weight of just 1,915 grams (painted with shock and all hardware), the Epic World Cup edges out the lightest of competitors. This translates to faster acceleration, more efficiently climbing, and more agile handling. And all of that adds up to speed. We achieved the featherweight and monster stiffness of the Epic WC by applying what we learned in the development of our Aethos, the lightest production road frame ever made, specifically the advanced composite layup and tube shapes.

  • The all-new Epic World Cup frame features Ride Dynamics Developed suspension technology and 75mm of optimized rear wheel travel. Thanks to its shock technology, Epic World Cup delivers unmatched pedal efficiency and is ready for the roughest descents you can throw at it–no lockout switches required.
  • SRAM GX transmission builds on what top riders need in shifting performance and robustness, making it perfectly matched for the brutal demands of modern Cross Country racing.
  • An all-new SID SL BRAIN fork provides 110mm of bump-muting performance while discerning inputs from the ground or rider to provide ultimate efficiency.
  • Descending from a long World Cup lineage, hand-built Roval Control carbon wheels feature a modern 29mm internal-width hookless rim–maximizing strength, ride quality, and durability–while keeping weight to a minimum.
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SKU: 59182431595

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O
Om S
Los Angeles, US
★★★★★ 4
Title: Really Good Book for Learning LLMs
Format: Paperback, Format: Paperback
I picked up this book after struggling with LLM implementation at work. Ken Huang explains things clearly without too much technical jargon. The book covers everything from data preparation to building AI agents. I especially liked the chapters on RAG and prompting techniques - they helped me improve my current projects. The code examples actually work, which is nice. Some parts are pretty advanced, so you need basic Python knowledge. I had to read a few chapters twice to fully get it. The fairness and bias detection section was eye-opening. Good practical advice throughout. Not just theory - real solutions you can use. Worth the money if you're serious about LLM development. Recommended for anyone building AI systems professionally.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on July 25, 2025
J
Jiewen Wang
New York, US
★★★★★ 5
a comprehensive guide at the intersection of generative AI and cybersecurity
Format: Kindle
This book blends deep theoretical foundations with practical frameworks and forward-looking strategies. From adversarial risk models to actionable guidance using OWASP Top 10 for LLMs and the NIST AI RMF, it offers both technical depth and operational clarity. What makes it stand out is its balance of academic rigor and real-world CISO insights, providing a holistic perspective on securing GenAI systems. While it leans enterprise-focused, the content remains accessible to security engineers, risk managers, and policy leaders alike. Generative AI Security is a timely and essential read for anyone working to deploy GenAI responsibly—building systems with both power and integrity in today’s fast-evolving threat landscape.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on July 2, 2025
N
Nader
Battle Creek, US
★★★★★ 1
Light on substance and heavy on flaws
Format: Paperback
The book has a great list of topics, but fails to provide much substance any of them. Most of the provided code is just comments that avoid the actual crux of the issues being discussed. (e.g. #implement the logic to validate XYZ - while the whole point of this chapter is teach how the heck we validate XYZ!) Some parts are plain wrong, for example the part on Graph based RAG is fundamentally flawed as it assumes the text embedding and the graph embedding are in the same latent space. (This is one of many more examples). Seems like the book was rushed, and the author has limited hands on experience (if any). At least we know based on the amount of flaws that it was not written by an LLM
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Reviewed in the United States on December 31, 2025
N
noam barkay
Draper, US
★★★★★ 5
Excellent book to truly understand LLM design patterns
Format: Paperback
I just finished reviewing Ken Huang's pocket book on LLM Design Patterns, and WOW what an amazing resource! This book is excellent if you want to truly understand how to create and enhance intelligent AI language models, all that in your pocket! Ken makes the difficult things seem surprisingly easy, and that's the real MAGIC. - How to prepare your data for training by making it extremely clean. Developing the brains: the practical aspects of training, optimizing, and maintaining your models. - Learn amazing prompting techniques (such as Chain-of-Thought and Tree-of-Thoughts) to improve your AI's reasoning and problem-solving abilities. Learn everything there is to know about RAGs so that your LLM can incorporate outside expertise. - It also delves into creating "agentic" AI that is capable of action and planning (not only simple plan and execute but also enhanced techniques like ReWoo!) Really, this feels like a useful toolkit, so Ken thank you for that resource Thanks, Idan Habler
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Reviewed in the United States on June 9, 2025
R
Ryan Meyer
Louisville, US
★★★★★ 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

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