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Description
super compact travel stroller Diono Traverze Editions Compact Stroller Copper CubeSpecifications Stroller Weight: 12. 3 lbs Age Weight Capacity: Birth to 45 lbs Open Dimensions (in): 24. 4 L x 16. 6 W x 40. 6 H Folded Dimensions: 23. 6 L x 16. 3 W x 9. 3 H What's Included: Rain cover, travel bag What's NOT Included: Cup holder NEAR FLAT RECLINE The reclining backrest allows a near flat position for comfort, and makes the Traverze suitable from birth. PULL ALONG HANDLE The telescopic pull along handle makes traveling a breeze ? and
12.3 lbs
Birth to 45 lbs
24.4 L x 16.6 W x 40.6 H
23.6 L x 16.3 W x 9.3 H
What's Included:
What's NOT Included:
NEAR FLAT RECLINE
The reclining backrest allows a near flat position for comfort, and makes the Traverze suitable from birth.
PULL-ALONG HANDLE
The telescopic pull-along handle makes traveling a breeze ? and pulls along just like your luggage!
SMOOTH MOVES
Featuring flip-flop friendly brakes, and smooth rolling, never flat wheels, with shock absorbers and all-wheel suspension.
COMPACT FOLD
The super-compact fold makes Traverze a perfect travel stroller, folding down small enough to fit in most overhead cabins.
We know what it means to travel through busy airports, train stations and crowded shopping malls. You could be on a mini break or long haul, and we all love to explore. So in an ever-smaller world, whether traveling or shopping we?ve created some big ideas to help you and your little one arrive happy.
Why change the way you travel just because you have become a parent? We believe you should live life to the fullest, with your new addition in tow. Traverze allows you to do just that with its super-compact instant fold and telescopic pull-along handle enabling you to navigate the airport with much more ease and style.
- Reclining Backrest: Suitable from birth. Features a reclining backrest allowing a near flat position for ride comfort.
- 5-Point Harness: Integral 5-point harness with removable plush pads.
- Added Storage: Added storage pocket ? on the back of the hood behind leg rest.
- Pull-Along Handle: Telescopic pull-along handle ? just like your luggage!
- Lightweight: Less than 12.3lbs/5.6kg
- XL basket: Extra-large basket is accessible in any mode, with space for a cabin-sized luggage bag.
- Whatever the Weather: Complete with water resistant Travel Carry Bag and tailored rain cover
- Flip-Flop Friendly Brake: One-touch brake designed for big shoes or little pumps, whatever you are wearing on your travels.
- Smooth Moves: Smooth rolling, never flat wheels, with shock absorbers and all-wheel suspension. Turns on a dime, with swivel wheels and agile one-hand steering.
Shipping Notes
- Free Standard Shipping on $100+ Orders to the USA.
- Except Preorder products are shipped in 48 hours.
- Delivery to the USA:
- Standard Shipping : 3-10 business days
- If time is of the essence, please consider selecting expedited delivery for faster service.
Exchange/Return Notes
- We offer a 30-day return/exchange service after receiving.
- Final sale items are not eligible for returns or exchanges.
- To process your return/exchange, please contact us at [email protected]
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4.2 ★★★★★
Based on 804 reviews
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Product Reviews
★★★★★ 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
★★★★★ 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
★★★★★ 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