SKU: 67628547508

One Industries - X-197 Scorch Red Jersey, Pant Combo

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Description

One Industries - X-197 Scorch Red Jersey, Pant ComboOne Industries X 197 Scorch Red Jersey With the first release of our new MX Jersey line we had one aim only and that was to produce the best product on the market from fabrics to features including some unique touches never seen before in a moto jersey. Next level freedom of movement and comfort with true 4 way stretch fabric throughout main body and arms Optimum fitment with the Rider Race 45 degree pre bent articulated arms Ultimate cooling thanks

One Industries - X-197 Scorch Red Jersey

With the first release of our new MX Jersey line we had one aim only and that was to produce the best product on the market from fabrics to features including some unique touches never seen before in a moto jersey.

  • Next level freedom-of-movement and comfort with true 4-way stretch fabric throughout main body and arms

  • Optimum fitment with the Rider-Race 45-degree pre-bent articulated arms

  • Ultimate cooling thanks to oversize laser cut silicone-edged intake and outlet vents in upper arm and torso

  • Cooling is enhanced further with 360-degree vented material between the arms and torso

  • Performance fabrics resulted in one of the lightest jerseys on the market, weighing only 6.7oz in size L

  • The minimal weight of the jersey is complemented by the slim fitting tapered race cut on both the body and arms

  • Maximum comfort with Infinity-Zero cuffs and collar

  • Comfort is further enhanced with stitch-free seamless taped seam technology in critical areas

  • Ensuring the jersey to pant combo works effortlessly with a drop tail ensuring the jersey stays in place when riding

  • The package is completed with minimal clear silicone tail print to keep the jersey tucked in, at all times

One Industries - X-197 Scorch Red Pant

With the first release of our new MX Pant line we had one aim only and that was to produce the best product on the market from fabrics to features including some unique touches never seen before in a moto pant.

  • Next level freedom-of-movement and comfort with true 4-way stretch race fabric in critical areas exposed to maximum movement around the front knees/ lower legs and seat

  • More durable 2-way stretch materials in more static movement areas around the front upper leg areas

  • Freedom-of-movement is enhanced with the Rider-Race 45 degree pre-bent articulated legs

  • Ultimate cooling thanks to oversize laser-cut silicone-edged intake vents in the upper legs

  • The pants are kept in places with a 360 belt complete with double magnet and secure ratchet closure

  • All day comfort with stitchless welded and taped seam construction

  • Increased comfort and decreased weight as the construction means no liner is required

  • Oversized knees sized for knee brace compatibility with additional padding and rubber logo for increased durability

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SKU: 67628547508

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4.6 ★★★★★
Based on 11 reviews
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N
Nader
Fort Morgan, 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
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on December 31, 2025
N
noam barkay
Cuba, 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
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on June 9, 2025
R
Ryan Meyer
Charlottesville, 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.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on August 10, 2025
V
Vineeth Sai
Lowell, US
★★★★★ 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!
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on June 27, 2025
C
Verified Purchase
CL
Pawtucket, US
★★★★★ 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.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on November 14, 2025

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