SKU: 170288101

Rear Storage Bag & Door Bags for Can-Am Maverick X3 MAX

$121.49 $134.99
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Ships within 48 hours · Estimated delivery Jul 30 - Aug 4

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Description

Rear Storage Bag & Door Bags for Can-Am Maverick X3 MAXDESCRIPTION Rear Storage Bag Updated Hard Storage Box with 60L (13Gal) Capcity Kemimoto X3 cargo box can enlarge a great room capacity of about 60L (13Gal), which can hold clothes, gloves, sleeping bags, cables, tool boxes, snacks etc. Sturdy& Durable X3 rear cargo box is made of high quality 1680D Oxford cloth + EVA hard cover, and the fabric is strong and wear resistant, which is water repellent, tear resistant and easy to clean; Besides, the inner

DESCRIPTION

Rear Storage Bag

Updated Hard Storage Box with 60L (13Gal) Capcity

Kemimoto X3 cargo box can enlarge a great room capacity of about 60L (13Gal), which can hold clothes, gloves, sleeping bags, cables, tool boxes, snacks etc.

Sturdy& Durable

X3 rear cargo box is made of high-quality 1680D Oxford cloth + EVA hard cover, and the fabric is strong and wear-resistant, which is water-repellent, tear-resistant and easy to clean; Besides, the inner wall is made of PP support board, which can maintain the shape even if it is not fully loaded during high speed riding.

Dual Purpose Design

Kemimoto self-design utv cargo bex storage can be a normal compartment storage box designed with a three-section lid, which can be opened partially or fully, to store dry personal things. In another way, you can replace the inner PP support board with the insulation bag, which can keep your food or beverage cool in summer and keep them warm in winter for a few hours. Pls Note that the inner and the partition cannot be used at the same time)

Reflective Design- Driving Safer at Night

Kemimoto UTV rear bag with reflective strips design better helps others notice the object in poor light conditions, reducing accidents to improve safety. In addition, it makes easier to find your bag's position in dark night.

Quick Open/ Close Snap Design

The installation and disassembly for utv rear bag are simple and convenient, which is no need to drill holes or lock screws by just using six rubberized metal hooks to hook into the grooves of LinQ Luggage Rack.

Front and Rear Door Bags

Package Includes 4 pcs X3 upper door bags

2pcs X3 front door bag, 2 pcs X3 rear bag, No drilling or tool needed when installing.

It won't take up any valuable place

just install them on the upper door frame bar with straps to hold it securely. A great place to keep your goggles, phone, tower, shirt, gloves, glasses and you can also reach them easily and conveniently.

Front door bag with the removable knee pad

It can release your pain when banging the door, especially driving on the tough road. You can remove it if you think it gets in the way of reaching the door straps. Expandable cup holder for you to keep your drinks very easily and securely.

Large Capacity

X3 rear door bag will be really nice for the rear passengers to store their stuff, water bottle, phone, glasses, wallet, toys for your kids. Two-layer design for keeping your stuff organized.

SKU: B0113-13701BK+BZH0146-02

FITMENT

Compatible with Can-Am Maverick X3 all 4-Seat models, including:

  • Can-Am Maverick X3 MAX Turbo : 2018-2020
  • Can-Am Maverick X3 MAX Turbo R : 2017-2019
  • Can-Am Maverick X3 MAX X DS Turbo : 2017-2019
  • Can-Am Maverick X3 MAX DS Turbo : 2021-2023
  • Can-Am Maverick X3 MAX DS Turbo R : 2020-2021
  • Can-Am Maverick X3 MAX DS Turbo RR : 2022-2023
  • Can-Am Maverick X3 MAX X DS Turbo R : 2017-2019
  • Can-Am Maverick X3 MAX X DS Turbo RR : 2020-2023
  • Can-Am Maverick X3 MAX RS Turbo R : 2020-2021
  • Can-Am Maverick X3 MAX RS Turbo RR : 2022-2023
  • Can-Am Maverick X3 MAX X RS Turbo R : 2017-2019
  • Can-Am Maverick X3 MAX X RS Turbo RR : 2020-2023
  • Can-Am Maverick X3 MAX X RS Turbo RR with Smart-Shox : 2021-2023
  • Can-Am Maverick X3 MAX X MR Turbo R : 2019-2021
  • Can-Am Maverick X3 MAX X MR Turbo RR : 2020-2023
Shipping Notes
  • Free Standard Shipping on $100+ Orders to the USA.
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Exchange/Return Notes
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  • Final sale items are not eligible for returns or exchanges.
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SKU: 170288101

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noam barkay
Chelsea, 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
Port Orchard, 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
Grantham, 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!
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Reviewed in the United States on June 27, 2025
C
Verified Purchase
CL
Omaha, 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
A
Verified Purchase
Amazon Customer
Phoenix, US
★★★★★ 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.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on September 2, 2024

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