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Description
uppababy 2023 release date UPPAbaby Vista V3 StrollerThe UPPAbaby Vista V3 Stroller is designed to evolve with your family. It offers the convenience of transforming from a single stroller to one that can accommodate up to three children with added accessories and adapters. The included bassinet is suitable from birth and provides a comfortable lie flat environment for newborns. Whether for naps on the go or overnight sleeping, the Bassinet allows your baby to lie completely flat. Specifications
The UPPAbaby Vista V3 Stroller is designed to evolve with your family. It offers the convenience of transforming from a single stroller to one that can accommodate up to three children with added accessories and adapters. The included bassinet is suitable from birth and provides a comfortable lie-flat environment for newborns. Whether for naps on the go or overnight sleeping, the Bassinet allows your baby to lie completely flat.
Specifications
Stroller
- Over 30+ configurations to grow with your family.
- Capable of transitioning from mono to duo or trio.
- Enhanced FlexRide Suspension for a smooth ride.
- Quick-to-secure harness with magnetic buckle and no-rethread harness.
- Parent-facing and forward-facing full size, toddler seat grows with child up to 50 lbs.
- Enhanced FlexRide Suspension delivers a smooth ride, whether strolling with 1, 2, or 3.
- Effortlessly folds in one simple step, and stands when folded for compact storage.
- All-Weather Comfort Seat with Seasonal Seat Liner for cooler days or converts to mesh for warmer days.
- Extendable, water-repellent UPF 50+ canopy and easy-to-peek window for added airflow.
- Extra-large, easy-access basket with a 30 lb weight limit to easily store all your essentials while strolling.
- Never-flat tires for durability and smooth strolling through various terrains.
- One-handed multi-position recline for those “resting strolls.”
- One-hand, adjustable handlebar to better accommodate different heights.
- The front wheel locks with visual indicators for parents’ peace of mind.
- Adjustable footrest positions feet and legs comfortably as they grow.
- Premium fabrics and full-grain REACH-certified leather details.
- Bassinet, Mesa®, and Aria™ Infant Car Seats direct attachment.
- It accommodates the PiggyBack accessory, two infant car seats, two bassinets, two seats, or a combination, offering plenty of positions to go and grow with your family.
- Suitable from birth with accessories or 3 months to 50 lbs without accessories
- 3-Year Warranty.
RumbleSeat
- All-Weather Comfort Seat with Seasonal Seat Liner for cooler days converts to mesh for warmer days.
- Quick-to-secure harness system with magnetic buckle and no-rethread harness.
- Adjustable footrest to aid in child comfort as the child grows.
- One-handed, multi-position recline can be positioned both forward- and parent-facing.
- Grow-with-me canopy height adjustment to provide extra headspace.
- Extendable, water-repellent UPF 50+ canopy and vented peekaboo window for added air flow.
- Large hubs and adapters ensure quick, easy, and intuitive attachment to Vista.
- Premium fabrics and full-grain REACH-certified leather details.
- Suitable for children from 3 months to 40 lbs or 36″, whichever comes first
Dimensions & Weight
Stroller
- Frame & Seat Weight: 27.6 lbs.
- Frame Weight: 19.8 lbs.
- Seat Weight: 7.8 lbs.
- Unfolded: 36.5" L x 25.7" W x 39.5" H
- Folded with seat attached: 16.3" L x 25.7" W x 33.8" H
- Folded without seat attached: 11.3" L x 25.7" W x 32.3" H
What's Included
- Frame
- Toddler Seat
- Seasonal Seat Liner
- Bumper Bar
- Toddler Seat Bug Shield
- Toddler Seat Rain Shield
- Storage Bag
- Rumbleseat
- Lower adapters
- Rumbleseat Bug Shield
Bassinet, Car seats, and piggyback accessories are sold separately.
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]
- Please click here for more details>>> Return & Exchange Policy
4.3 ★★★★★
Based on 7 reviews
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Product Reviews
★★★★★ 5
Your Blueprint for Building Smarter AI!
Format: Paperback
If you're building AI and sometimes feel a bit lost, "LLM Design Patterns" by Ken Huang is like finding the secret map you've been searching for.
Ken Huang, who clearly knows his stuff (he's a renowned AI expert and works with big names like OWASP and NIST), writes in a way that just clicks, without getting bogged down in super-dense tech talk. The author even acknowledges using AI to make the language clearer for a smooth reading experience!
This book covers everything you need, from getting your data squeaky clean to making AI agents that can actually think and act autonomously. For me, the parts on Retrieval-Augmented Generation (RAG) and advanced ways to 'talk' to your AI (prompting) were particularly eye-opening and immediately useful for my projects.
Plus, it has handy code snippets that really help you grasp the ideas. While they're not ready for direct production copy-pasting, they illustrate the concepts perfectly for learning. It's not for absolute beginners – you'll want some basic Python and machine learning smarts to get the most out of it – but the effort is totally worth it. It even delves into making sure your AI is fair and unbiased, which was a real lightbulb moment for me.
This book is crammed with actionable advice; it's less about abstract theory and more about real-world solutions you can actually use. If you're serious about building impressive AI systems professionally, this is a must-read.
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Reviewed in the United States on August 7, 2025
★★★★★ 5
Great Resource when Integrating AI
Format: Kindle
This is a great resource when building systems that integrate with AI. It manages to cover the entire lifecycle and even tips for corporate environments!
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Reviewed in the United States on August 26, 2025
★★★★★ 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.
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Reviewed in the United States on July 25, 2025
★★★★★ 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.
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Reviewed in the United States on July 2, 2025
★★★★★ 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